Publications

Our publications by year:

Antico M, Fontanarosa D, Carneiro G, Vukovic D, Camps S, Sasazawa F, Takeda Y, Le A, Jaiprakash A, Roberts J, Crawford R. Deep learning for US image quality assessment based on femoral cartilage boundaries detection in autonomous knee arthroscopy. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2020.

Antico M, Sasazawa F, Dunnhofer M, Camps S, Jaiprakash A, Pandey A, Crawford R, Carneiro G, Fontanarosa D. Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy. Ultrasound in medicine & biology 2020;46(2):422-435.

Camps S, Houben T, Carneiro G, Edwards C, Antico M, Dunnhofer M, Martens E, Baeza J, Vanneste B, van Limbergen E, de With P, Verhaegen F, Fontanarosa D. Automatic quality assessment of transperineal ultrasound images of the male pelvic region, using deep learning. Ultrasound in Medicine and Biology 2020;46(2):445-454.

Cheng Tao Pu LZ, Maicas G, Tian Y, Yamamura T, Nakamura M, Suzuki H, Singh G, Rana K, Hirooka Y, Burt AD, Fujishiro M, Carneiro G, Singh R. Computer-aided diagnosis for characterisation of colorectal lesions: a comprehensive software including serrated lesions. Gastrointestinal endoscopy 2020.

Chin TJ, Cai Z, Neumann F. Robust fitting in computer vision: Easy or hard? International Journal of Computer Vision 2020;128(3):575-587.

Clarke KD, Osborne G, Auricht H, Lewis M. Condition Assessment and Risk Management System (CARMS): Monitoring rangeland condition in South Australia. 2020.

Dunnhofer M, Antico M, Sasazawa F, Takeda Y, Camps S, Martinel N, Micheloni C, Carneiro G, Fontanarosa D. Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis 2020;60(101631):101631-101631-101631-101617.

Gong D, Zhang Z, Shi Q, van den Hengel A, Shen C, Zhang Y. Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Transactions on Neural Networks and Learning Systems 2020.

Huang Y, Wu Q, Wang W, Wang L. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2020;42(3):636-650.

Li J, Liu Y, Yuan X, Zhao C, Siegwart R, Reid I, Cadena C. Depth based semantic scene completion with position importance aware loss. IEEE Robotics and Automation Letters 2020;5(1):219-226.

Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher information matrix to characterise the training of deep neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2020;42(1):15-26.

Liu C, Yao R, Rezatofighi S, Reid I, Shi Q. Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Transactions on Image Processing 2020;29:277-288.

Liu W, Zhang P, Chen X, Shen C, Huang X, Yang J. Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology 2020;30(1):23-35.

Orlando J, Fu H, Barbossa Breda J, van Keer K, Bathula D, Diaz-Pinto A, Fang R, Heng P, Kim J, Lee J, Lee J, Li X, Liu P, Lu S, Murugesan B, Naranjo V, Phaye S, Shankaranarayana S, Sikka A, Son J, van den Hengel A, Wang S, Wu J, Wu Z, Xu G, Xu Y, Yin P, Li F, Zhang X, Xu Y, Bogunović H. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis 2020;59(UNSP 101570).

Osborn H, Ansdell M, Ioannou Y, Sasdelli M, Angerhausen D, Caldwell D, Jenkins J, Raeissi C, Smith J. Rapid classification of TESS planet candidates with convolutional neural networks. ASTRONOMY & ASTROPHYSICS 2020;633(ARTN A53).

Rezatofighi H, Kaskman R, Motlagh FT, Shi Q, Milan A, Cremers D, Leal-Taixé L, Reid ID. Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR 2020;abs/2001.11845.

Teney D, Abbasnejad E, Hengel AVD. Unshuffling Data for Improved Generalization. CoRR 2020;abs/2002.11894.

Yan Q, Zhang L, Liu Y, Zhu Y, Sun J, Shi Q, Zhang Y. Deep HDR Imaging via A Non-Local Network. IEEE Transactions on Image Processing 2020;29:4308-4322.

Yan Y, Tan M, Tsang I, Yang Y, Shi Q, Zhang C. Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study. IEEE Transactions on Knowledge and Data Engineering 2020;32(2):288-301.

Zhang L, Wang P, Shen C, Liu L, Wei W, Zhang Y, van den Hengel A. Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision 2020;128(2):479-499.

Zhang P, Liu W, Lei Y, Wang H, Lu H. Deep Multiphase Level Set for Scene Parsing. IEEE Transactions on Image Processing 2020;29:4556-4567.

Zhang P, Liu W, Lei Y, Wang H, Lu H. RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2020.

Zhao Y, Liu Y, Shen C, Gao Y, Xiong S. MobileFAN: Transferring deep hidden representation for face alignment. Pattern Recognition 2020;100.

Zhao Y, Shen C, Wang H, Chen S. Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Transactions on Intelligent Transportation Systems 2020;21(2):723-734.

Abbasnejad E, Wu Q, Shi Q, Van Den Hengel A. What's to know? uncertainty as a guide to asking goal-oriented questions. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 4150-4159.

Abbasnejad M, Shi Q, Van Den Hengel A, Liu L. A generative adversarial density estimator. In: Proc A generative adversarial density estimator Long Beach, USA. Online, 2019/06/01/. pp 10774-10783.

Abbasnejad ME, Shi Q, Van Den Hengel A, Liu L. A Generative Adversarial Density Estimator. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 10782-10791.

Abdi M, Lim C, Mohamed S, Nahavandi S, Abbasnejad E, Van Den Hengel A. Discriminative clustering of high-dimensional data using generative modeling. In: Proc IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Windsor, Canada, 2019. pp 799-802.

Abedin Varamin A, Rezatofighi H, Shi Q, Ranasinghe D. SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. In: Proc International Joint Conference on Artificial Intelligence (IJCAI 2019) Macao, China. Online, 2019/07/01/. pp 5780-5786.

Ansdell M, Ioannou Y, Osborn H, Sasdelli M, Smith J, Caldwell D, Jenkins J, Raissi C, Angerhausen D. Automatic Classification of Transiting Planet Candidates using Deep Learning. In: Proc 28th Annual Conference on Astronomical Data Analysis Software and Systems (ADASS XXVIII) Univ Maryland, Astron Dept, Coll Pk, MD, USA. Online, 2019/01/01/. pp 59-62.

Aoki Y, Goforth H, Srivatsan RA, Lucey S. PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 7156-7165.

Bay A, Sidiropoulos P, Vazquez E, Sasdelli M. Real-time Tracker with Fast Recovery from Target Loss. In: Proc IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP) Brighton, UK. Online, 2019. pp 1932-1936.

Bian J, Lin W, Liu Y, Zhang L, Yeung S, Cheng M, Reid I. GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. International Journal of Computer Vision 2019.

Bustos ÁP, Chin TJ, Neumann F, Friedrich T, Katzmann M. A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. CoRR 2019;abs/1902.01534.

Cai M, Shen C, Reid I. A hybrid probabilistic model for camera relocalization. In: Proc British Machine Vision Conference (BMVC) Newcastle upon Tyne, UK. Online, 2019/01/01/. pp 1-12.

Cai Z, Chin T, Bustos A, Schindler K. Practical optimal registration of terrestrial LiDAR scan pairs. ISPRS Journal of Photogrammetry and Remote Sensing 2019;147:118-131.

Carneiro G, Manuel J, Tavares R, Bradley A, Papa J, Nascimento J, Cardoso J, Lu Z, Belagiannis V. Editorial. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2019;7(3):241.

Carneiro G, You S. Computer Vision – ACCV 2018 Workshops: Springer; 2019.

Carneiro G, You S. Preface. In: Carneiro G, You S, editors. Computer Vision – ACCV 2018 Workshops; 2019.  p v-v.

Chang M, Lambert J, Sangkloy P, Singh J, Bak S, Hartnett A, Wang D, Carr P, Lucey S, Ramanan D, Hays J. Argoverse: 3D Tracking and Forecasting With Rich Maps. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 8740-8749.

Chojnacki W, Szpak Z. Determining ellipses from low-resolution images with a comprehensive image formation model. Journal of the Optical Society of America A 2019;36(2):212-233.

Chojnacki W, Szpak Z. Full explicit consistency constraints in uncalibrated multiple homography estimation. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 659-675.

Chojnacki W. A note on crossed products. Expositiones Mathematicae 2019.

Do H, Chin T, Moretti N, Jah M, Tetlow M. Robust foreground segmentation and image registration for optical detection of GEO objects. Advances in Space Research 2019;64(3):733-746.

Do T, Hoang T, Le Tan D, Pham T, Le H, Cheung N, Reid I. Binary constrained deep hashing network for image retrieval without manual annotation. In: Proc 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) Waikoloa Village, HI, USA. Online, 2019/03/04/. pp 695-704.

Do T, Pham T, Cai M, Reid I. Real-time monocular object instance 6D pose estimation. In: Proc British Machine Vision Conference (BMVC) Newcastle upon Tyne, UK. Online, 2019/01/01/. pp 1-12.

Do TT, Tran T, Reid I, Kumar V, Hoang T, Carneiro G. A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning. In: Proc IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, CA, USA, 2019. pp 10396-10405.

Doan A, Latif Y, Chin T, Liu Y, Ch'Ng S, Do T, Reid I. Visual Localization under Appearance Change: A Filtering Approach. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 2019:1-8.

Doan D, Latif Y, Chin T, Liu Y, Do T, Reid I. Scalable place recognition under appearance change for autonomous driving. In: Proc IEEE International Conference on Computer Vision (ICCV) Seoul, South Korea. Online, 2019/10/01/. pp 9318-9327.

Duan X, Wu Q, Gan C, Zhang Y, Huang W, Van Den Hengel A, Zhu W. Watch, reason and code: Learning to represent videos using program. In: Proc ACM International Conference on Multimedia (ACM Multimedia) Nice, France. Online, 2019/10/15/. pp 1543-1551.

Felix Alves R, Harwood B, Sasdelli M, Carneiro G. Generalised zero-shot learning with domain classification in a joint semantic and visual space. In: Proc Digital Image Computing: Technqiues and Applications (DICTA) Perth, Australia. Online, 2019. pp 1-8.

Felix R, Harwood B, Sasdelli M, Carneiro G. Generalised zero-shot learning with a classifier ensemble over multi-modal embedding spaces. arXiv 2019;OnlinePubl.

Felix R, Harwood B, Sasdelli M, Carneiro G. Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 2019;abs/1908.04930.

Felix R, Sasdelli M, Reid ID, Carneiro G. Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR 2019;abs/1901.04623.

Gale W, Oakden-Rayner L, Carneiro G, Palmer LJ, Bradley AP. Producing radiologist quality reports for interpretable deep learning. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019. pp 1275-1279.

Glaser S, Maicas G, Bedrikovetski S, Sammour T, Carneiro G. Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. CoRR 2019;abs/1910.10371.

Goforth H, Lucey S. GPS-Denied UAV Localization using Pre-existing Satellite Imagery. In: Proc 2019 International Conference on Robotics and Automation (ICRA), 20-24 May 2019, 2019. pp 2974-2980.

Gong D, Liu L, Le V, Saha B, Mansour M, Venkatesh S, Van Den Hengel A. Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. In, 2019/10/01/. pp 1705-1714.

Gong D, Tan M, Shi Q, van den Hengel A, Zhang Y. MPTV: matching pursuit based total variation minimization for image deconvolution. IEEE Transactions on Image Processing 2019;28(4):1851-1865.

Guo Y, Chen Q, Chen J, Wu Q, Shi Q, Tan M. Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. IEEE Transactions on Multimedia 2019;21(11):2726-2737.

Hasani-Shoreh M, Ameca-Alducin M, Blaikie W, Neumann F, Schoenauer M. On the behaviour of differential evolution for problems with dynamic linear constraints. In: Proc IEEE Congress on Evolutionary Computation (CEC) Wellington, New Zealand, 2019. pp 3045-3052.

He T, Shen C, Tian Z, Gong D, Sun C, Yan Y. Knowledge adaptation for efficient semantic segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:578-587.

Hosseinzadeh M, Latif Y, Pham T, Suenderhauf N, Reid I. Structure aware SLAM using quadrics and planes. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia.

Hosseinzadeh M, Li K, Latif Y, Reid I. Real-time monocular object-model aware sparse SLAM. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada.

Hunter J, Jateff E, van den Hengel A. Using Digital Visualization of Archival Sources to Enhance Archaeological Interpretation of the ‘Life History’ of Ships: The Case Study of HMCS/HMAS Protector. In: McCarthy JK, Benjamin J, Winton T, van Duivenwoorde W, editors. 3D Recording and Interpretation for Maritime Archaeology. Cham, Switzerland: Springer Nature; 2019.  p 89-101.

Jian S, Pang G, Cao L, Lu K, Gao H. CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans Knowl Data Eng 2019;31(5):853-866.

Johnston A, Carneiro G. Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. In: Proc Digital Image Computing Techniques and Applications (DICTA) Perth, Australia. Online, 2019/12/01/. pp 1-8.

Kellett J, Barreto R, Van Den Hengel A, Vogiatzis N. How Might Autonomous Vehicles Impact the City? The Case of Commuting to Central Adelaide. URBAN POLICY AND RESEARCH 2019;37(4):442-457.

Kong C, Lucey S. Deep Non-Rigid Structure From Motion. In: Proc 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 27 Oct.-2 Nov. 2019, 2019. pp 1558-1567.

Li H, Wang P, Shen C, Van Den Hengel A. Visual question answering as reading comprehension. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 6312-6321.

Li H, Wang P, Shen C, Zhang G. Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. In: Proc 33rd AAAI Conference on Artificial Intelligence; 31st Conference on Innovative Applications of Artificial Intelligence; 9th Symposium on Educational Advances in Artificial Intelligence Honolulu, HI, USA. Online, 2019. pp 8610-8617.

Li H, Wang P, Shen C. Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems 2019;20(3):1126-1136.

Li J, Liu Y, Gong D, Shi Q, Yuan X, Zhao C, Reid I. RGBD based dimensional decomposition residual network for 3D semantic scene completion. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 7685-7694.

Li R, Gong D, Sun J, Zhu Y, Wei Z, Zhang Y. Robust and Accurate Hybrid Structure-From-Moti. In: Proc IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan. Online, 2019/09/01/. pp 494-498.

Li R, Xian K, Shen C, Cao Z, Lu H, Hang L. Deep Attention-Based Classification Network for Robust Depth Prediction. In: Proc 14th Asian Conference on Computer Vision, ACCV 2018 Perth, Western Australia. Online, 2019. pp 663-678.

Li X, Zhao L, Ji W, Wu Y, Wu F, Yang M, Tao D, Reid I. Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2019;41(4):915-927.

Lin C, Wang O, Russell BC, Shechtman E, Kim VG, Fisher M, Lucey S. Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 969-978.

Liu H, Ji R, Wang J, Shen C. Ordinal constraint binary coding for approximate nearest neighbor search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2019;41(4):941-955.

Liu J, Zhang Y, Zhang L, Xie F, Vasileff A, Qiao S. Graphitic carbon nitride (g-C₃N₄ )-derived N-rich graphene with tuneable interlayer distance as a high-rate anode for sodium-ion batteries. Advanced Materials 2019;31(24):e1901261-e1901261.

Liu W, Gong D, Tan M, Shi Q, Yang Y, Hauptmann A. Learning Distilled Graph for Large-scale Social Network Data Clustering. IEEE Transactions on Knowledge and Data Engineering 2019.

Liu W, Li Y, Wu Q. An Attribute-Based High-Level Image Representation for Scene Classification. IEEE Access 2019;7:4629-4640.

Liu Y, Dong W, Zhang L, Gong D, Shi Q. Variational bayesian dropout with a hierarchical prior. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 7117-7126.

Liu Y, Tian Y, Maicas G, Pu LZ, Singh R, Verjans JW, Carneiro G. Photoshopping Colonoscopy Video Frames. CoRR 2019;abs/1910.10345.

Lu H, Dai Y, Shen C, Xu S. Indices matter: Learning to index for deep image matting. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:3265-3274.

Lu L, Wang X, Carneiro G, Yang L. Preface; 2019. v-vii p.

Lyu F, Wu Q, Hu F, Wu Q, Tan M. Attend and Imagine: Multi-Label Image Classification with Visual Attention and Recurrent Neural Networks. IEEE Transactions on Multimedia 2019;21(8):1971-1981.

Maicas G, Bradley A, Nascimento J, Reid I, Carneiro G. Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. In: Lu L, Wang X, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Cham, Switzerland: Springer; 2019.  p 163-178.

Maicas G, Bradley AP, Nascimento JC, Reid I, Carneiro G. Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Analysis 2019;58(101562):101562-101561-101562-101514.

Maicas Suso G, Snaauw G, Bradley AP, Reid I, Carneiro G. Model agnostic saliency for weakly supervised lesion detection from breast DCE-MRI. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019. pp 1057-1060.

Manchin A, Abbasnejad E, van den Hengel A. Reinforcement Learning with Attention that Works: A Self-Supervised Approach. Communications in Computer and Information Science 2019;1143 CCIS:223-230.

Manchin A, Abbasnejad E, Van Den Hengel A. Reinforcement learning with attention that works: a self-supervised approach. In: Proc International Conference on Neural Information Processing (ICONIP) Sydney, 2019. pp 223-230.

Nekrasov V, Chen H, Shen C, Reid I. Fast neural architecture search of compact semantic segmentation models via auxiliary cells. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:9118-9127.

Nekrasov V, Chen H, Shen C, Reid ID. Architecture Search of Dynamic Cells for Semantic Video Segmentation. CoRR 2019;abs/1904.02371.

Nekrasov V, Chen H, Shen C, Reid ID. Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CVPR 2019:9126-9135.

Nekrasov V, Dharmasiri T, Spek A, Drummond T, Shen C, Reid I. Real-time joint semantic segmentation and depth estimation using asymmetric annotations. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada, 2019. pp 7101-7107.

Nekrasov V, Shen C, Reid ID. Template-Based Automatic Search of Compact Semantic Segmentation Architectures. CoRR 2019;abs/1904.02365.

Neshat M, Abbasnejad E, Shi Q, Alexander B, Wagner M. Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) 2019;11954:353-366.

Nguyen H, Chesser M, Koh L, Rezatofighi SH, Ranasinghe D. TrackerBots: autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals. Journal of Field Robotics 2019;36(3):617-635.

Nguyen HV, Rezatofighi H, Vo BN, Ranasinghe DC. Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object. In, 2019.

Oakden-Rayner L, Dunnmon J, Carneiro G, Ré C. Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR 2019;abs/1909.12475.online, 2019. pp 7123-7129. online, 2019/05/01/. pp 2385-2391.

Pahuja A, Lucey S. Lossy GIF Compression Using Deep Intrinsic Parameterization. In: Proc 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 27-28 Oct. 2019, 2019. pp 4581-4583.

Pang G, Shen C, Van Den Hengel A. Deep anomaly detection with deviation networks. In: Proc ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) Anchorage, AK, New York, 2019/07/25/. pp 353-362.

Parra Bustos A, Chin T, Eriksson A, Reid I. Visual SLAM: Why bundle adjust? In: Proc International Conference on Robotics and Automation (ICRA) Montreal, Canada.

Parvaneh A, Abbasnejad E, Wu Q, Shi J. Show, price and negotiate: a hierarchical attention recurrent visual negotiator. arXiv 2019;OnlinePubl.

Pena G, Kuang B, Szpak Z, Cowled P, Dawson J, Fitridge R. Evaluation of a Novel Three-Dimensional Wound Measurement Device for Assessment of Diabetic Foot Ulcers. ADVANCES IN WOUND CARE 2019.

Peng X, Zhu H, Feng J, Shen C, Zhang H, Zhou JT. Deep Clustering With Sample-Assignment Invariance Prior. IEEE transactions on neural networks and learning systems 2019.

Pu LZCT, Maicas G, Tian Y, Yamamura T, Singh G, Rana K, Suzuki H, Nakamura M, Hirooka Y, Burt A, Fujishiro M, Carneiro G, Singh R. Prospective study assessing a comprehensive computer-aided diagnosis for characterization of colorectal lesions: Results from different centers and imaging technologies. In, 2019/09/01/. pp 25-26.

Purkait P, Zach C, Reid I. Seeing behind Things: Extending Semantic Segmentation to Occluded Regions. In: Proc IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Macau, China. Online, 2019/11/01/. pp 1998-2005.

Rezatofighi H, Tsoi N, Gwak J, Sadeghian A, Reid ID, Savarese S. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 658-666.

Rowntree T, Pontecorvo C, Reid I. Real-Time Human Gaze Estimation. In: Proc Digital Image Computing Techniques and Applications (DICTA) Perth, Australia. Online, 2019/12/01/. pp 1-7.

Snaauw G, Gong D, Maicas G, van den Hengel A, Niessen WJ, Verjans J, Carneiro G. End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, Italy. Online, 2019. pp 802-805.

Suwanwimolkul S, Zhang L, Gong D, Zhang Z, Chen C, Ranasinghe D, Qinfeng Shi J. An adaptive markov random field for structured compressive sensing. IEEE Transactions on Image Processing 2019;28(3):1556-1570.

Suwanwimolkul S, Zhang L, Ranasinghe D, Shi Q. One-step adaptive Markov random field for structured compressive sensing. Signal Processing 2019;156:116-144. Switzerlaned, 2019. pp 410-426.

Tchapmi L, Kosaraju V, Reid I, Rezatofighi H, Savarese S. Topnet: Structural point cloud decoder. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 383-392.

Teney D, Abbasnejad E, Hengel AVD. On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR 2019;abs/1909.13471.

Teney D, Van Den Hengel A. Actively seeking and learning from live data. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:1940-1949.

Teney D, Van Den Hengel A. Actively Seeking and Learning From Live Data. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 1940-1949.

Teney D, Wang P, Cao J, Liu L, Shen C, Hengel AVD. V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR 2019;abs/1907.12271.

Tian Y, Pu LZ, Singh R, Burt AD, Carneiro G. One-stage five-class polyp detection and. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019/01/01/. pp 70-73.

Tian Z, He T, Shen C, Yan Y. Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:3121-3130.

Tian Z, Shen C, Chen H, He T. FCOS: Fully convolutional one-stage object detection. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:9626-9635.

Tran T, Do T, Reid I, Carneiro G. Bayesian generative active deep learning. In, 2019/01/01/. pp 10969-10978.

Tran T, Do TT, Reid I, Carneiro G. Bayesian Generative Active Deep Learning. In: Proc International Conference on Machine Learning (IMCL) Long Beach, USA. Online, 2019/05/28/. pp 6295-6304.

Verjans J, Veldhuis W, Carneiro G, Wolterink J, Išgum I, Leiner T. Cardiovascular diseases. In: Ranschaert ER, Morozov S, Algra PR, editors. Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. Cham, Switzerland: Springer; 2019.  p 167-185.

Wang C, Kong C, Lucey S. Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. In: Proc 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 27 Oct.-2 Nov. 2019, 2019. pp 743-752.

Wang C, Lucey S, Perazzi F, Wang O. Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. In: Proc 2019 International Conference on 3D Vision (3DV), 16-19 Sept. 2019, 2019. pp 348-357.

Wang P, Liu L, Shen C, Shen H. Order-aware convolutional pooling for video based action recognition. Pattern Recognition 2019;91:357-365.

Wang P, Wu Q, Cao J, Shen C, Gao L, Hengel A. Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In, 2019/06/01/. pp 1960-1968.

Wang X, Liu S, Shen X, Shen C, Jia J. Associatively segmenting instances and semantics in point clouds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:4091-4100.

Ward B, Brien C, Oakey H, Pearson A, Negrão S, Schilling R, Taylor J, Jarvis D, Timmins A, Roy S, Tester M, Berger B, Van Den Hengel A. High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal 2019;98(3):555-570.

Weerasekera C, Garg R, Latif Y, Reid I. Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. In: Proc Asian Conference on Computer Vision, ACCV 2018 Perth, Australia, Switzerland, 2019. pp 609-624.

Wei X, Wang P, Liu L, Shen C, Wu J. Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing 2019;28(12):6116-6125.

Wei X, Zhang C, Liu L, Shen C, Wu J. Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 575-591.

Wei X, Zhang C, Wu J, Shen C, Zhou Z. Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition 2019;88:113-126.

Wu Z, Shen C  van den Hengel A. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition 2019;90:119-133.

Xie F, Zhang L, Gu Q, Chao D, Jaroniec M, Qiao S. Multi-shell hollow structured Sb₂S₃ for sodium-ion batteries with enhanced energy density. Nano Energy 2019;60:591-599.

Xie Y, Lu H, Zhang J, Shen C, Xia Y. Deep segmentation-emendation model for gland instance segmentation. In: Proc Medical Image Computing and Computer-Assisted Intervention (MICCAI) Shenzhen, China. Switzerland, 2019/01/01/. pp 469-477.

Xiong H, Cao Z, Lu H, Madec S, Liu L, Shen C. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods 2019;15(1):150-151-150-114.

Xu W, Liu W, Chi H, Qiu S, Jin Y. Self-paced learning with privileged information. Neurocomputing 2019;362:147-155.

Yan C, Pang G, Bai X, Shen C, Zhou J, Hancock E. Deep hashing by discriminating hard examples. In: Proc ACM International Conference on Multimedia (MM) Nice, France. Online, 2019/10/15/. pp 1535-1542.

Yan Q, Gong D  Shi Q, Van Den Hengel A, Shen C, Reid I, Zhang Y. Attention-guided network for ghost-free high dynamic range imaging. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 1751-1760.

Yan Q, Gong D, Zhang P, Shi Q, Sun J, Reid I, Zhang Y. Multi-scale dense networks for deep high dynamic range imaging. In: Proc IEEE Winter Conference on Applications of Computer Vision (WACV) Waikoloa Village, HI, USA, 2019. pp 41-50.

Yan Q, Gong D, Zhang Y. Two-Stream Convolutional Networks for Blind Image Quality Assessment. IEEE Transactions on Image Processing 2019;28(5):2200-2211.

Yan Y, Huang Y, Chen S, Shen C, Wang H. Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia 2019.

Yao R, Lin G, Shen C, Zhang Y, Shi Q. Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(6):1687-1700.

Yin W, Liu Y, Shen C, Yan Y. Enforcing geometric constraints of virtual normal for depth prediction. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:5683-5692.

Zakizadeh R, Qian Y, Sasdelli M, Vazquez E. Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. In: Proc 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS Las Palmas de Gran Canaria, Spain. Online, 2019. pp 442-448.

Zhan H, Weerasekera C, Garg R, Reid I. Self-supervised learning for single view depth and surface normal estimation. In: Proc International Conference on Robotics and Automation (ICRA) Montreal, Canada. Online, 2019/05/01/. pp 4811-4817.

Zhang H, Li Y, Jiang Y, Wang P, Shen Q, Shen C. Hyperspectral Classification Based on Lightweight 3-D-CNN with Transfer Learning. IEEE Transactions on Geoscience and Remote Sensing 2019;57(8):5813-5828.

Zhang H, Shen C, Li Y, Cao Y, Liu Y, Yan Y. Exploiting temporal consistency for real-time video depth estimation. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:1725-1734.

Zhang J, Wu Q, Zhang J, Shen C, Lu J, Wu Q. Heritage image annotation via collective knowledge. Pattern Recognition 2019;93:204-214.

Zhang J, Wu Q, Zhang J, Shen C, Lu J. Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 2951-2959.

Zhang J, Xie Y, Wu Q, Xia Y. Medical image classification using synergic deep learning. Medical Image Analysis 2019;54:10-19.

Zhang J, Xie Y, Xia Y, Shen C. Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging 2019;38(9):2092-2103.

Zhang J, Xie Y, Zhang P, Chen H, Xia Y, Shen C. Light-weight hybrid convolutional network for liver tumor segmentation. In: Proc International Joint Conference on Artificial Intelligence (IJCAI) Macao, China. Online, 2019/01/01/. pp 4271-4277.

Zhang L, Wang P, Wei W, Lu H, Shen C, van den Hengel A, Zhang Y. Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(5):1339-1349.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE transactions on neural networks and learning systems 2019.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate imagery recovery using a multi-observation patch model. Information Sciences 2019;501:724-741.

Zhang P, Liu W, Lei Y, Lu H. Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection. Pattern Recognition 2019;93:521-533.

Zhang P, Liu W, Lu H, Shen C. Salient object detection with lossless feature reflection and weighted structural loss. IEEE Transactions on Image Processing 2019;28(6):3048-3060.

Zhang P, Liu W, Wang H, Lei Y, Lu H. Deep gated attention networks for large-scale street-level scene segmentation. Pattern Recognition 2019;88:702-714.

Zhang T, Ji P, Harandi M, Hartley R, Reid I. Scalable deep k-subspace clustering. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 466-481.

Zhang T, Lin G, Cai J, Shen T, Shen C, Kot A. Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia 2019;21(11):2930-2941.

Zhang X, Cao J, Shen C, You M. Self-training with progressive augmentation for unsupervised cross-domain person re-identification. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:8221-8230.

Zhuang B, Shen C, Tan M, Liu L, Reid I. Structured binary neural networks for accurate image classification and semantic segmentation. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 413-422.

Abbasnejad ME, Dick AR, Shi QR, van den Hengel A, Active learning from noisy tagged images. BMVC Workshop, 2018.

Abbasnejad E, Wu Q, Abbasnejad I, Shi J, van den Hengel A. An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR 2018;abs/1812.06398.

Abbasnejad E, Wu Q, Shi J, van den Hengel A. What’s to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR 2018;abs/1812.06401.

Abdi M, Lim CP, Mohamed SMK, Nahavandi S, Abbasnejad E, van den Hengel A. Discriminative Clustering of High-Dimensional Data Using Generative Modeling. 2018. p 799-802.

Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JLR, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez- Fernandez M, Vallee E, Vidaurre D, Webster M, McCarthy P, Rorden C, Daducci A, Alexander DC, Zhang H, Dragonu I, Matthews PM, Miller KL, Smith SM. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage 2018;166:400-424.

Anderson P, Wu Q, Teney D, Bruce J, Johnson M, Sünderhauf N, Reid ID, Gould S, van den Hengel A. Vision-and Language Navigation: Interpreting Visually- Grounded Navigation Instructions in Real Environments. 2018. p 3674-3683.

Ansdell M, Ioannou Y, Osborn H, Sasdelli M, Smith J, Caldwell D, Jenkins J, Räissi C, Angerhausen D. Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning. Astrophysical Journal Letters 2018;869(1).

Battaglini M, Jenkinson M, De Stefano N, Neuroimaging AsD. SIENA-XL for Improving the Assessment of Gray and White Matter Volume Changes on Brain MRI. Human Brain Mapping 2018;39(3):1063-1077.

Bay A, Sidiropoulos P, Vazquez E, Sasdelli M. Hide and Seek tracker: Real- time recovery from target loss. CoRR 2018;abs/1806.07844.

Bozek J, Makropoulos A, Schuh A, Fitzgibbon S, Wright R, Glasser MF, Coalson TS, O’Muircheartaigh J, Hutter J, Price AN, Cordero-Grande L, Teixeira RPAG, Hughes E, Tusor N, Baruteau KP, Rutherford MA, Edwards AD, Hajnal JV, Smith SM, Rueckert D, Jenkinson M, Robinson EC. Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. Neuroimage 2018;179:11-29.

Bustos A, Chin T. Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(12):2868-2882.

Cao Y, Wu Z, Shen C. Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(11):3174-3182.

Cao Y, Zhao T, Xian K, Shen C, Cao Z, Xu S. Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Image Processing 2018.

Carneiro G, Tavares J, Bradley A, Papa J, Belagiannis V, Nascimento J, Lu Z, Conjeti S. DLMIA 2018 Preface. In:

Stoyanov D, Taylor Z, Carneiro G, Syeda- Mahmood T, editors. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 20, 2018 Proceedings; 2018. p VII-VII.

Carneiro G, Tavares J, Bradley A, Papa J, Nascimento J, Cardoso J, Lu Z, Belagiannis V. 1st MICCAI workshop on deep learning in medical image analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2018;6(3):241-242.

Chance SA, Torso M, Jenkinson M. Cortical Disarray Measurement Using Diffusion Mri Correlates with Braak Staging and Improves Amyloid Pet Prediction of Ad Progression. Alzheimer’s & dementia : the journal of the Alzheimer’s Association 2018;14(7):P1245.

Chen B, Ting KM. Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. Advances in Knowledge Discovery and Data Mining; 2018. p 401-412.

Chen B, Ting KM, Washio T, Zhu Y. Local contrast as an effective means to robust clustering against varying densities. Machine Learning 2018;107(8-10):1621-1645.

Chojnacki W, Szpak ZL. Determining ellipses from low resolution images with a comprehensive image formation model. CoRR 2018;abs/1807.06814.

Chojnacki W, Szpak ZL. Full explicit consistency constraints in uncalibrated multiple homography estimation. CoRR 2018;abs/1805.02352.

Connally EL, Ward D, Pliatsikas C, Finnegan S, Jenkinson M, Boyles R, Watkins KE. Separation of trait and state in stuttering. Human Brain Mapping 2018;39(8): 3109-3126.

Do T, Cheung N. Embedding based on function approximation for large scale image search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(3):626-638.

Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Producing radiologist-quality reports for interpretable artificial intelligence. CoRR 2018;abs/1806.00340.

Gong D, Tan M, Shi Q, van den Hengel A, Zhang Y. MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR 2018;abs/1810.05438.

Gong D, Zhang Z, Shi Q, van den Hengel A, Shen C, Zhang Y. Learning an Optimizer for Image Deconvolution. CoRR 2018;abs/1804.03368.

Griffanti L, Jenkinson M, Suri S, Zsoldos E, Mahmood A, Filippini N, Sexton CE, Topiwala A, Allan C, Kivimaki M, Singh-Manoux A, Ebnaeier KP, Mackay CE, Zamboni G. Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults. Neuroimage 2018;170:174-181.

Guo G, Wang H, Shen C,Yan Y, Liao H. Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. IEEE Transactions on Multimedia 2018;20(8):2073-2085.

Harston GWJ, Carone D, Sheerin F, Jenkinson M, Kennedy J. Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures. Stroke 2018;49(7):1647-1655.

Hodgson J, Mott R, Baylis S, Pham T, Wotherspoon S, Kilpatrick A, Raja Segaran R, Reid I, Terauds A, Koh L. Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution 2018;9(5):1160-1167.

Hu Q, Wang P, Shen C, van den Hengel A, Porikli F. Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans Circuits Syst Video Techn 2018;28(6): 1358-1368.

Li H, Wang P, Shen C. Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems 2018.

Li H, Wang P, Shen C, van den Hengel A. Visual Question Answering as Reading Comprehension. CoRR 2018;abs/1811.11903.

Li H, Wang P,You M, Shen C. Reading car license plates using deep neural networks. Image and Vision Computing 2018;72(C):14-23.

Li X, Zhao L, Ji W, Wu Y, Wu F,Yang M, Tao D, Reid I. Multi-task structure-aware context modeling for robust keypoint-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;OnlinePubl:1-13.

Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Lin G, Shen C, van den Hengel A, Reid ID. Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans Pattern Anal Mach Intell 2018;40(6):1352-1366.

Liu F, Lin G, Qiao R, Shen C. Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems 2018;29(6):2631-2637.

Liu H, Ji R, Wang J, Shen C. Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018:1-1.

Liu W, Zhang P, Chen X; Shen C; Huang X, Yang J. Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology 2018.

Lu H, Shen C, Cao Z, Xiao Y, Van Den Hengel A. An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing 2018;27(7):3403-3417.

Ma C, Shen C, Dick AR, Wu Q, Wang P, van den Hengel A, Reid ID. Visual Question Answering With Memory-Augmented Networks. 2018. p 6975-6984.

Makropoulos A, Robinson EC, Schuh A, Wright R, Fitzgibbon S, Bozek J, Counsell SJ, Steinweg J, Vecchiato K, Passerat- Palmbach J, Lenz G, Mortari F, Tenev T, Duff EP, Bastiani M, Cordero-Grande L, Hughes E, Tusor N, Tournier JD, Hutter J, Price AN, Teixeira RPAG, Murgasova M, Victor S, Kelly C, Rutherford MA, Smith SM, Edwards AD, Hajnal JV, Jenkinson M, Rueckert D. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. Neuroimage 2018;173:88-112.

Nekrasov V, Dharmasiri T, Spek A, Drummond T, Shen C, Reid ID. Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. CoRR 2018;abs/1809.04766.

Nekrasov V, Shen C, Reid ID. Diagnostics in Semantic Segmentation. CoRR 2018;abs/1809.10328.

Nguyen D, Vu N, Do T, Nguyen T, Yearwood J. Improving Chamfer template matching using image segmentation. IEEE Signal Processing Letters 2018;25(11):1635-1639.

Page A, Li H. Meal-sensing signaling pathways in functional dyspepsia. Frontiers in Systems Neuroscience 2018;12(ARTN 10).

Pallebage-Gamarallage M, Foxley S, Menke RAL, Huszar IN, Jenkinson M, Tendler BC, Wang CY, Jbabdi S, Turner MR, Miller KL,

Ansorge O. Dissecting  the  pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitativeneuropathology. Bmc Neuroscience 2018;19.

Robinson EC, Garcia K, Glasser MF, Chen ZD, Coalson TS, Makropoulos A, BozekJ, Wright R, Schuh A, Webster M, Hutter J, Price A, Grande LC, Hughes E, Tusor N, Bayly PV, Van Essen DC, Smith SM,

Edwards AD, Hajnal J, Jenkinson M, Glocker B, Rueckert D. Multimodal surface matching with higher-order smoothness constraints. Neuroimage 2018;167:453-465

Saillant A, Platsch G, Shah V, Zuehlsdorff S, Jenkinson M, Chappell M. Reliability of myocardial blood flow estimates in abnormal scans. Journal of Nuclear Medicine 2018;59.

Schmid AB, Campbell J, Hurley SA, Jbabdi S, Andersson JL, Jenkinson M, Bangerter NK, Bennett DL, Tracey I, Frost R, Clare S. Feasibility of Diffusion Tensor and Morphologic Imaging of Peripheral Nerves at Ultra-High Field Strength. Investigative Radiology 2018;53(12):705-713.

Sheng B, Shen C, Lin G, Li J, Yang W, Sun C. Crowd counting via weighted VLAD on a dense attribute feature map. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(8):1788-1797.

Snaauw G, Gong D, Maicas G, van den Hengel A, Niessen WJ, Verjans J, Carneiro G. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR 2018;abs/1810.10117.

Teney D, Anderson P, He X, van den Hengel A. Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. 2018. p 4223-4232.

Teney D, van den Hengel A. Visual Question Answering as a Meta Learning Task. ECCV 2018. p 229-245.

Wang L. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Wang P, Wu Q, Cao J, Shen C, Gao L, van den Hengel A. Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CoRR 2018;abs/1812.04794.

Wang P, Wu Q, Shen C, Dick AR, van den Hengel A. FVQA: Fact-Based Visual Question Answering. IEEE Trans Pattern Anal Mach Intell 2018;40(10):2413-2427.

Wang X, Gao L, Wang P, Sun X, Liu X. Two-stream 3-D convNet Fusion for action recognition in videos with arbitrary size and length. IEEE Transactions on Multimedia 2018;20(3):634-644.

Wei X, Xie C, Wu J, Shen C. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognition 2018;76(C):704-714.

Williamson W, Lewandowski AJ, Forkert ND, Griffanti L, Okell TW, Betts J, Boardman H, Siepmann T, McKean D, Huckstep O, Francis JM, Neubauer S, Phellan R, Jenkinson M, Doherty A, Dawes H, Frangou E, Malamateniou C, Foster C, Leeson P. Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults. Jama- Journal of the American Medical Association 2018;320(7):665-673.

Williamson W, Lewandowski AJ, Huckstep O, Visser E, Betts B, Jenkinson M, Dawes  H, Foster C, Leeson  P. Thalamic Volume  is a Predictor of Cardiac Function at Rest and During Exercise in Young Adults. Circulation: journal of the American Heart Association 2018;138(Suppl_1):A16361.

Wu Q, Shen C, Wang P, Dick A, van den Hengel A. Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(6):1367-1381.

Wu Q, Wang P, Shen C, Reid ID, van den Hengel A. Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. 2018. p 6106-6115.

Xu W, Liu W, Huang X,Yang J, Qiu S. Multi-modal self-paced learning for image classification. Neurocomputing 2018;309(C):134-144.

Yao R, Lin G, Shen C, Zhang Y, Shi Q. Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 2018;Online:1-14.

Yao R, Lin G, Shi Q, Ranasinghe D. Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognition 2018;78(C):252-266.

You M, Zhang Y, Shen C, Zhang X. An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems 2018;19(5):1640-1651.

Zakizadeh R, Sasdelli M, Qian Y, Vazquez E. FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. CoRR 2018;abs/1806.07124.

Zakizadeh R, Sasdelli M, Qian Y, Vazquez E. Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. CoRR 2018;abs/1807.11674.

Zhang J, Wu Q, Shen C, Zhang J, Lu J. Multilabel Image Classification with Regional Latent Semantic Dependencies. IEEE Transactions on Multimedia 2018;20(10):2801-2813.

Zhang J, Wu Q, Shen C, Zhang J, Lu J, van den Hengel A, Goal-oriented visual question generation via intermediate rewards, ECCV 2018.

Zhang L, Wang P, Liu L, Shen C, Wei W, Zhang Y, van den Hengel A. Towards Effective Deep Embedding for Zero-Shot Learning. CoRR 2018;abs/1808.10075.

Zhang L, Wang P, Shen C, Liu L, Wei W, Zhang Y, van den Hengel A. Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. CoRR 2018;abs/1806.01576.

Zhang L, Wang P, Wei W, Lu H, Shen C, van den Hengel A, Zhang Y. Unsupervised domain adaptation using robust class- wise matching. IEEE Transactions on Circuits and Systems for Video Technology 2018;OnlinePubl:1-12.

Zhang L, Wei W, Zhang Y, Shen C, van den Hengel A, Shi Q. Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. International Journal of Computer Vision 2018;126(8):797-821.

Zhou X, Liu Z, Gong C, Liu W. Improving video saliency detection via localized estimation and spatiotemporal refinement. IEEE Transactions on Multimedia 2018;20(11):2993-3007.

Zhuang B, Wu Q, Shen C, Reid ID, van den Hengel A. HCVRD: A Benchmark for Large- Scale Human-Centered Visual Relationship Detection. 2018. p 7631-7638.

Zhuang B, Wu Q, Shen C, Reid ID, van den Hengel A. Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. 2018. p 4252-4261.

Zhuang N,Yan Y, Chen S, Wang H, Shen C. Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognition 2018;80(C):225-240.

Zsoldos E, Filippini N, Mahmood A, Mackay CE, Singh-Manoux A, Kivimaki M, Jenkinson M, Ebmeier KP. Allostatic load as a predictor of grey matter volume and white matter integrity in old age: The Whitehall II MRI study. Scientific Reports 2018;8.

Zulqarnain Gilani S, Mian A, Shafait F, Reid I. Dense 3D Face Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(7):1584-1598

Abbasnejad I, Sridharan S, Nguyen D, Denman S, Fookes C, Lucey S. Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. In: Proc 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 22-29 Oct. 2017, 2017. pp 1609-1618.

Abbasnejad M, Dick A, van den Hengel A. Infinite variational autoencoder for semi-supervised learning. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, 2017. pp 781-790.

Abbasnejad M, Shi Q, Abbasnejad I, Hengel A, Dick A. Bayesian Conditional Generative Adverserial Networks. CoRR 2017;abs/1706.05477.

Alismail H, Kaess M, Browning B, Lucey S. Direct Visual Odometry in Low Light Using Binary Descriptors. IEEE Robotics and Automation Letters 2017;2(2):444-451.

Anderson P, He X, Buehler C, Teney D, Johnson M, Gould S, Zhang L. Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR 2017;abs/1707.07998.

Ball D, Upcroft B, van Henten E, van den Hengel A, Tokekar P, Das J. JFR Special Issue on Agricultural Robotics. Journal of Field Robotics 2017;34(6):1037-1038.

Cao Y, Shen C, Shen H. Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing 2017;26(2):836-846.

Carneiro G, Nascimento J, Bradley A. Automated analysis of unregistered multi-view mammograms with deep learning. IEEE Transactions on Medical Imaging 2017;36(11):2355-2365.

Carneiro G, Nascimento J, Bradley A. Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions. In: Zhou S, Greenspan H, Shen D, editors. Deep Learning for Medical Image Analysis. London: Elsevier; 2017.  p 321-339.

Carneiro G, Oakden-Rayner L, Bradley A, Nascimento J, Palmer L. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 130-134.

Carneiro G, Oakden-Rayner L, Bradley AP, Nascimento JC, Palmer LJ. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. IEEE; 2017.  p 130-134.

Carneiro G, Peng T, Bayer C, Navab N. Automatic quantification of tumour hypoxia from multi-modal microscopy images using weakly-supervised learning methods. IEEE Transactions on Medical Imaging 2017;36(7):1405-1417.

Carneiro G, Tavares J, Bradley A, Papa J, Nascimento J, Cardoso J, Belagiannis V, Lu Z. Preface DLMIA 2017. 2017.  p 1-1.

Carneiro G, Zheng Y, Xing F, Yang L. Review of deep learning methods in mammography, cardiovascular, and microscopy image analysis. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 11-32.

Chen Y, Shen C, Wei X, Liu L, Yang J. Adversarial PoseNet: a structure-aware convolutional network for human pose estimation. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 1221-1230.

Chen Z, Jacobson A, Sunderhauf N, Upcroft B, Liu L, Shen C, Reid I, Milford M. Deep Learning Features at Scale for Visual Place Recognition. In: Proc IEEE International Conference on Robotics and Automation, ICRA 2017 Marina Bay Sands, Singapore. Online, 2017. pp 3223-3230.

Cheng LZTP, Campbell B, Carneiro G, Burt AD, Singh R. Computer-aided diagnosis (CAD) for characterising colorectal lesions: Initial results of a newly developed software. WILEY; 2017.  p 251-251.

Chin T, Purkait P, Eriksson A, Suter D. Efficient globally optimal consensus maximisation with tree search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(4):758-772.

Chin TJ, Suter . The Maximum Consensus Problem Recent Algorithmic Advances. USA: Morgan & Claypool Publishers; 2017.

Demarty C, Sjöberg M, Ionescu B, Do T, Gygli M, Duong N. Mediaeval 2017 predicting media interestingness task. In: Proc 2017 Multimedia Benchmark Workshop Dublin. Online, 2017.

Dhungel N, Carneiro G, Bradley A. A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Analysis 2017;37(C):114-128.

Dhungel N, Carneiro G, Bradley A. Combining deep learning and structured prediction for segmenting masses in mammograms. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 225-240.

Dhungel N, Carneiro G, Bradley A. Fully automated classification of mammograms using deep residual neural networks. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 310-314.

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Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR 2017;abs/1711.06504.

Galoogahi HK, Fagg A, Huang C, Ramanan D, Lucey S. Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 1134-1143.

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Hoang T, Do T, Le Tan D, Cheung N. Selective deep convolutional features for image retrieval. In: Proc International Conference on Multimedia (MM) Mountain View, California. Online, 2017. pp 1600-1608.

Hosseinzadeh M, Latif Y, Reid I. Sparse point-plane SLAM. In: Proc 2017 Australasian Conference on Robotics and Automation Sydney. Online, 2017. pp 148-155.

Hu Q, Wang H, Li T, Shen C. Deep CNNs with spatially weighted pooling for fine-grained car recognition. IEEE Transactions on Intelligent Transportation Systems 2017;18(11):3147-3156.

Huang C, Lucey S, Ramanan D. Learning Policies for Adaptive Tracking with Deep Feature Cascades. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 105-114.

Ji P, Li H, Dai Y, Reid I. "Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 929-937.

Ji P, Reid, Garg, i H, Salzmann M. Low-Rank Kernel Subspace Clustering. In: Proc https://arxivorg/pdf/170704974pdf https://arxiv.org/pdf/1707.04974.pdf, 2017/08/01/.

Ji P, Zhang T, Li H, Salzmann M, Reid I. Deep subspace clustering networks. In: Proc Conference on Neural Information Processing Systems (NIPS) Long Beach, CA, 2017. pp 1-10.

Jian S, Cao L, Pang G, Lu K, Gao H. Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. In: Proc Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17) Melbourne, Australia. Online, 2017. pp 1937-1943.

Johnston A, Garg R, Carneiro G, Reid I, van den Hengel A. Scaling CNNs for high resolution volumetric reconstruction from a single image. In: Proc IEEE International Conference on Computer Vision Workshop (ICCVW 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 930-939.

Khosravian A, Chin T, Reid I, Mahony R. A discrete-time attitude observer on SO(3) for vision and GPS fusion. In: Proc IEEE International Conference on Robotics and Automation (ICRA2017) Singapore, 2017. pp 5688-5695.

Khosravian A, Chin T, Reid I. A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. In: Proc IEEE International Conference on Robotics and Automation (ICRA 2017) Singapore, 2017. pp 6495-6502.

Kim J, Latif Y, Reid I. RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Singapore, 2017/07/21/. pp 5148-5154.

Kong C, Lin C, Lucey S. Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image. In: Proc 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, 2017. pp 5603-5611.

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Latif Y, Huang G, Leonard J, Neira J. Sparse optimization for robust and efficient loop closing. Robotics and Autonomous Systems 2017;93(C):13-26.

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Li C, Cao J, Huang Z, Zhu L, Shen HT. Leveraging weak semantic relevance for complex video event classification. In: Proc IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017. pp 3667-3676.

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Li C, Yang Y, Cao J, Huang Z. Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing. In: Proc International Conference on Information and Knowledge Management (CIKM) Singapore, SINGAPORE, 2017. pp 9-17.

Li H, Wang P, Shen C. Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks. In: Proc 16th IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017/12/22/. pp 5248-5256.

Li J, Zhan H, Chen B, Reid I, Lee G. Deep learning for 2D scan matching and loop closure. In: Proc IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vancouver, Canada, 2017. pp 763-768.

Li Y, Li W, Shen C. Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2017;10(5):1870-1882.

Li Y, Lin G, Zhuang B, Liu L, Shen C, van den Hengel A. Sequential person recognition in photo albums with a recurrent network. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, Hawaii. Online, 2017. pp 5660-5668.

Li Y, Liu L, Shen C, Hengel A. Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision 2017;121(3):344-364.

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Lin C, Lucey S. Inverse Compositional Spatial Transformer Networks. In: Proc 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, 2017. pp 2252-2260.

Lin G, Liu F, Shen C, Wu J, Shen H. Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. International Journal of Computer Vision 2017;123(2):287-308.

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Liu F, Lin G, Shen C. Discriminative training of deep fully connected continuous CRFs with task-specific loss. IEEE Transactions on Image Processing 2017;26(5):2127-2136.

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Liu W, Chen X, Yang J, Wu Q. Robust color guided depth map restoration. IEEE Transactions on Image Processing 2017;26(1):315-327.

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Lu Z, Carneiro G, Bradley A, Ushizima D, Nosrati M, Bianchi A, Carneiro C, Hamarneh G. Evaluation of three algorithms for the segmentation of overlapping cervical cells. IEEE Journal of Biomedical and Health Informatics 2017;21(2):441-450.

Maicas G, Carneiro G, Bradley A, Nascimento J, Reid I. Deep reinforcement learning for active breast lesion detection from DCE-MRI. In: Proc International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Quebec City, Canada, 2017. pp 665-673.

Maicas G, Carneiro G, Bradley A. Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 305-309.

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Pu L, Campbell B, Carneiro G, Burt A, Singh R. Computer-aided diagnosis (CAD) for characterizing colorectal lesions: Initial results of newly developed software. In, 2017/08/01/. pp 34-35.

Purkait P, Chin T, Sadri A, Suter D. Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(9):1697-1711.

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Qiao R, Liu L, Shen C, van den Hengel A. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition 2017;66(C):202-212.

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Sasdelli M, Hillebrandt W, Kromer M, Ishida E, Röpke F, Sim S, Pakmor R, Seitenzahl I, Fink M. A metric space for type Ia supernova spectra: A new method to assess explosion scenarios. Monthly Notices of the Royal Astronomical Society 2017;464(4):3784-3809.

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