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ORCIDAnton van den Hengel
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2021
[i124]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)- 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]Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. CoRR abs/1911.08623 (2019) - 2018
- [j62]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. Int. J. Comput. Vis. 126(8): 797-821 (2018) - [j61]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1352-1366 (2018) - [j60]Qi Wu, Chunhua Shen, Peng Wang, Anthony R. Dick, Anton van den Hengel:
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1367-1381 (2018) - [j59]Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
FVQA: Fact-Based Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2413-2427 (2018) - [j58]Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1358-1368 (2018) - [j57]Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel:
An Embarrassingly Simple Approach to Visual Domain Adaptation. IEEE Trans. Image Process. 27(7): 3403-3417 (2018) - [c125]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI 2018: 7631-7638 - [c124]M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel:
Active Learning from Noisy Tagged Images. BMVC 2018: 252 - [c123]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR 2018: 3674-3683 - [c122]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR 2018: 4223-4232 - [c121]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR 2018: 4252-4261 - [c120]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. CVPR 2018: 6106-6115 - [c119]Chao Ma, Chunhua Shen, Anthony R. Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian D. Reid:
Visual Question Answering With Memory-Augmented Networks. CVPR 2018: 6975-6984 - [c118]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Goal-Oriented Visual Question Generation via Intermediate Rewards. ECCV (5) 2018: 189-204 - [c117]Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. ECCV (15) 2018: 229-245 - [c116]Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel:
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS 2018: 799-802 - [i99]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018) - [i98]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. CoRR abs/1806.01576 (2018) - [i97]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. CoRR abs/1808.10075 (2018) - [i96]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018) - [i95]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. CoRR abs/1810.10117 (2018) - [i94]Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CoRR abs/1811.11903 (2018) - [i93]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. CoRR abs/1812.04794 (2018) - [i92]Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel:
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR abs/1812.06398 (2018) - [i91]Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR abs/1812.06401 (2018) - 2017
- [j56]Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. Comput. Vis. Image Underst. 156: 51-65 (2017) - [j55]Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. 163: 21-40 (2017) - [j54]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. Int. J. Comput. Vis. 121(3): 344-364 (2017) - [j53]David Ball, Ben Upcroft, Eldert J. van Henten, Anton van den Hengel, Pratap Tokekar, Jnaneshwar Das:
JFR Special Issue on Agricultural Robotics. J. Field Robotics 34(6): 1037-1038 (2017) - [j52]Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 470-485 (2017) - [j51]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-Convolutional-Layer Pooling for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2305-2313 (2017) - [j50]Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model Based Fisher Vector Coding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2335-2348 (2017) - [j49]Roberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith Chinthana Ranasinghe:
A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive Mob. Comput. 40: 1-16 (2017) - [j48]Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification. Pattern Recognit. 65: 238-250 (2017) - [j47]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognit. 66: 202-212 (2017) - [j46]Damien Teney, Qi Wu, Anton van den Hengel:
Visual Question Answering: A Tutorial. IEEE Signal Process. Mag. 34(6): 63-75 (2017) - [j45]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Robust Tracking Using Online Latent Structured Learning. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1235-1248 (2017) - [c115]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940 - [c114]Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. AAAI 2017: 3804-3811 - [c113]Michael Zhu, Anthony R. Dick, Anton van den Hengel:
Large-Scale Camera Network Topology Estimation by Lighting Variation. ACIVS 2017: 455-467 - [c112]M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. CVPR 2017: 781-790 - [c111]Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CVPR 2017: 3233-3241 - [c110]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c109]Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. CVPR 2017: 3909-3918 - [c108]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668 - [c107]Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
Multi-attention Network for One Shot Learning. CVPR 2017: 6212-6220 - [c106]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. ICCV 2017: 599-608 - [c105]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679 - [c104]Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Explicit Knowledge-based Reasoning for Visual Question Answering. IJCAI 2017: 1290-1296 - [i90]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Care about you: towards large-scale human-centric visual relationship detection. CoRR abs/1705.09892 (2017) - [i89]M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick:
Bayesian Conditional Generative Adverserial Networks. CoRR abs/1706.05477 (2017) - [i88]Chao Ma, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Memory-Augmented Networks. CoRR abs/1707.04968 (2017) - [i87]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Visually Aligned Word Embeddings for Improving Zero-shot Learning. CoRR abs/1707.05427 (2017) - [i86]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. CoRR abs/1707.05956 (2017) - [i85]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR abs/1708.01008 (2017) - [i84]Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR abs/1708.02711 (2017) - [i83]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR abs/1711.06370 (2017) - [i82]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR abs/1711.07280 (2017) - [i81]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning. CoRR abs/1711.07613 (2017) - [i80]Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards. CoRR abs/1711.07614 (2017) - [i79]Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. CoRR abs/1711.08105 (2017) - [i78]Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Real-time Semantic Image Segmentation via Spatial Sparsity. CoRR abs/1712.00213 (2017) - 2016
- [j44]Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference. Int. J. Comput. Vis. 117(3): 269-289 (2016) - [j43]Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online unsupervised feature learning for visual tracking. Image Vis. Comput. 51: 84-94 (2016) - [j42]