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ORCIDAnton van den Hengel
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2023
[j83]Tong He
, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5697-5711 (2023)- [c169]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR 2023: 11392-11401 - [c168]Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection without Rotated Annotation. CVPR 2023: 15518-15527 - [c167]Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807 - [i152]Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. CoRR abs/2302.00178 (2023) - [i151]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR abs/2302.13543 (2023) - [i150]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR abs/2303.01669 (2023) - [i149]Thalaiyasingam Ajanthan, Matt Ma, Anton van den Hengel, Stephen Gould:
Adaptive Cross Batch Normalization for Metric Learning. CoRR abs/2303.17127 (2023) - [i148]Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation. CoRR abs/2304.02199 (2023) - [i147]Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel:
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR abs/2306.06844 (2023) - [i146]Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR abs/2307.02251 (2023) - [i145]Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. CoRR abs/2308.11158 (2023) - 2022
- [j82]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54(2): 38:1-38:38 (2022) - [j81]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022) - [j80]Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9603-9614 (2022) - [j79]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang:
High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. 122: 108342 (2022) - [j78]Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Video super-resolution via mixed spatial-temporal convolution and selective fusion. Pattern Recognit. 126: 108577 (2022) - [j77]Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE J. Biomed. Health Informatics 26(7): 3139-3150 (2022) - [j76]Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. IEEE Trans. Multim. 24: 1426-1434 (2022) - [c166]Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. BMVC 2022: 1039 - [c165]Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR 2022: 109-118 - [c164]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959 - [c163]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi:
Active Learning by Feature Mixing. CVPR 2022: 12227-12236 - [c162]Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel:
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR 2022: 16740-16751 - [c161]Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. ECCV (6) 2022: 72-88 - [c160]Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. ECCV (3) 2022: 286-302 - [c159]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893 - [c158]Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. PAKDD (2) 2022: 236-248 - [c157]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
ForeSI: Success-Aware Visual Navigation Agent. WACV 2022: 3401-3410 - [c156]Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM 2022: 704-714 - [i144]Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. CoRR abs/2201.07412 (2022) - [i143]Wei Yin, Yifan Liu, Chunhua Shen, Anton van den Hengel, Baichuan Sun:
The devil is in the labels: Semantic segmentation from sentences. CoRR abs/2202.02002 (2022) - [i142]Jitendra Singh Malik, Guansong Pang, Anton van den Hengel:
Deep Learning for Hate Speech Detection: A Comparative Study. CoRR abs/2202.09517 (2022) - [i141]Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR abs/2202.10203 (2022) - [i140]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022) - [i139]Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR abs/2203.02128 (2022) - [i138]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi:
Active Learning by Feature Mixing. CoRR abs/2203.07034 (2022) - [i137]Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. CoRR abs/2203.10690 (2022) - [i136]Tong He, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. CoRR abs/2204.11402 (2022) - [i135]Vu Nguyen, Sachin Farfade, Anton van den Hengel:
Confident Sinkhorn Allocation for Pseudo-Labeling. CoRR abs/2206.05880 (2022) - [i134]Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney:
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR abs/2206.14355 (2022) - [i133]Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu:
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR abs/2208.13138 (2022) - [i132]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Weight-variant Latent Causal Models. CoRR abs/2208.14153 (2022) - [i131]Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould:
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR abs/2212.11491 (2022) - 2021
- [j75]Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. 30: 2947-2962 (2021) - [j74]Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. 23: 2481-2492 (2021) - [c155]Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans:
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts 2021: 290:1-290:8 - [c154]Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. CVPR 2021: 354-363 - [c153]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV 2021: 1397-1407 - [c152]Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. ICCV 2021: 1635-1644 - [c151]Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel:
Memory-augmented Dynamic Neural Relational Inference. ICCV 2021: 11823-11832 - [c150]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308 - [c149]Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146 - [i130]Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR abs/2101.06013 (2021) - [i129]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. CoRR abs/2103.00446 (2021) - [i128]Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. CoRR abs/2104.04167 (2021) - [i127]Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel:
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR abs/2105.05612 (2021) - [i126]Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. CoRR abs/2107.08392 (2021) - [i125]Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR abs/2108.00462 (2021) - [i124]Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR abs/2112.10063 (2021) - 2020
- [j73]Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. Int. J. Comput. Vis. 128(2): 479-499 (2020) - [j72]M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu:
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128(10): 2731-2743 (2020) - [j71]Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020) - [j70]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2843-2852 (2020) - [j69]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [j68]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4170-4184 (2020) - [j67]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5468-5482 (2020) - [c148]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI 2020: 12071-12078 - [c147]Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans:
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. CLEF (Working Notes) 2020 - [c146]Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. CVPR 2020: 9979-9988 - [c145]Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051 - [c144]Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CVPR 2020: 10123-10132 - [c143]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR 2020: 12170-12179 - [c142]Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR 2020: 13447-13456 - [c141]Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. ECCV (10) 2020: 303-317 - [c140]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) 2020: 580-599 - [c139]Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans:
Medical Data Inquiry Using a Question Answering Model. ISBI 2020: 1490-1493 - [c138]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel:
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020 - [c137]Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS 2020 - [i123]Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR abs/2001.02381 (2020) - [i122]Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CoRR abs/2002.10215 (2020) - [i121]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization. CoRR abs/2002.11894 (2020) - [i120]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR abs/2003.06780 (2020) - [i119]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR abs/2004.09034 (2020) - [i118]Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Prior Class Semantics. CoRR abs/2005.01239 (2020) - [i117]Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR abs/2005.09241 (2020) - [i116]Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. CoRR abs/2006.00753 (2020) - [i115]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. CoRR abs/2007.02500 (2020) - [i114]Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. CoRR abs/2007.14626 (2020) - [i113]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR abs/2009.06847 (2020) - [i112]Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution. CoRR abs/2011.13328 (2020) - [i111]Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data. CoRR abs/2012.02950 (2020)
2010 – 2019
- 2019
- [j66]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate imagery recovery using a multi-observation patch model. Inf. Sci. 501: 724-741 (2019) - [j65]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognit. 90: 119-133 (2019) - [j64]Lei Zhang, Peng Wang, Wei Wei, Hao Lu, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Unsupervised Domain Adaptation Using Robust Class-Wise Matching. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1339-1349 (2019) - [j63]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28(4): 1851-1865 (2019) - [c136]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760 - [c135]Damien Teney, Anton van den Hengel:
Actively Seeking and Learning From Live Data. CVPR 2019: 1940-1949 - [c134]Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. CVPR 2019: 1960-1968 - [c133]Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel:
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR 2019: 4155-4164 - [c132]Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CVPR 2019: 6319-6328 - [c131]M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791 - [c130]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV 2019: 1705-1714 - [c129]Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. ICONIP (5) 2019: 223-230 - [c128]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI 2019: 802-805 - [c127]Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. KDD 2019: 353-362 - [c126]Xuguang Duan, Qi Wu, Chuang Gan, Yiwei Zhang, Wenbing Huang, Anton van den Hengel, Wenwu Zhu:
Watch, Reason and Code: Learning to Represent Videos Using Program. ACM Multimedia 2019: 1543-1551 - [i110]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1904.02639 (2019) - [i109]Damien Teney, Anton van den Hengel:
Actively Seeking and Learning from Live Data. CoRR abs/1904.02865 (2019) - [i108]Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. CoRR abs/1904.03367 (2019) - [i107]Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, Anton van den Hengel:
RERERE: Remote Embodied Referring Expressions in Real indoor Environments. CoRR abs/1904.10151 (2019) - [i106]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019) - [i105]Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR abs/1905.05404 (2019) - [i104]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR abs/1907.12271 (2019) - [i103]Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR abs/1909.13471 (2019) - [i102]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - [i101]Guansong Pang, Anton van den Hengel, Chunhua Shen:
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. CoRR abs/1910.13601 (2019) - [i100]