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ORCIDAnton van den Hengel
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2024
[j84]Wei Yin
, Yifan Liu, Chunhua Shen, Baichuan Sun, Anton van den Hengel:
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. Int. J. Comput. Vis. 132(9): 4036-4051 (2024)- [c184]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI 2024: 4641-4649 - [c183]Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. ACL (Findings) 2024: 6767-6779 - [c182]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR 2024: 9870-9880 - [c181]Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CVPR 2024: 11072-11081 - [c180]Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual Counting. CVPR 2024: 19228-19237 - [c179]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR 2024 - [c178]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel:
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR 2024 - [c177]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. MICCAI (10) 2024: 35-45 - [c176]Zhedong Zhang, Liang Li, Gaoxiang Cong, Haibing Yin, Yuhan Gao, Chenggang Yan, Anton van den Hengel, Yuankai Qi:
From Speaker to Dubber: Movie Dubbing with Prosody and Duration Consistency Learning. ACM Multimedia 2024: 7523-7532 - [c175]Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. RecSys 2024: 401-410 - [c174]Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040 - [i171]Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. CoRR abs/2402.01157 (2024) - [i170]Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR abs/2402.06223 (2024) - [i169]Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. CoRR abs/2402.12636 (2024) - [i168]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR abs/2402.18842 (2024) - [i167]Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel:
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR abs/2403.07356 (2024) - [i166]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Neural Causal Models. CoRR abs/2403.15711 (2024) - [i165]Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CoRR abs/2404.02388 (2024) - [i164]Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. CoRR abs/2404.13298 (2024) - [i163]Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel:
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR abs/2405.17139 (2024) - [i162]Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. CoRR abs/2407.02880 (2024) - [i161]Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. CoRR abs/2407.04331 (2024) - [i160]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. CoRR abs/2408.02001 (2024) - [i159]Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR abs/2408.13498 (2024) - [i158]Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi:
InvariantStock: Learning Invariant Features for Mastering the Shifting Market. CoRR abs/2409.00671 (2024) - [i157]Gaoxiang Cong, Jiadong Pan, Liang Li, Yuankai Qi, Yuxin Peng, Anton van den Hengel, Jian Yang, Qingming Huang:
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing. CoRR abs/2412.08988 (2024) - 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) - [c173]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 - [c172]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 - [c171]Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV 2023: 1229-1238 - [c170]Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. ICCV 2023: 1751-1760 - [c169]Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807 - [c168]Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS 2023 - [c167]Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS 2023 - [i156]Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. CoRR abs/2302.00178 (2023) - [i155]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR abs/2302.13543 (2023) - [i154]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) - [i153]Thalaiyasingam Ajanthan, Matt Ma, Anton van den Hengel, Stephen Gould:
Adaptive Cross Batch Normalization for Metric Learning. CoRR abs/2303.17127 (2023) - [i152]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) - [i151]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) - [i150]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) - [i149]Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. CoRR abs/2308.11158 (2023) - [i148]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR abs/2310.15580 (2023) - [i147]Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel:
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR abs/2311.17949 (2023) - [i146]Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting. CoRR abs/2312.05923 (2023) - [i145]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel:
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. CoRR abs/2312.14400 (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