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2020 – today
- 2025
[j49]Beier Zhu, Hanwang Zhang:
Debiasing vision-language models for vision tasks: a survey. Frontiers Comput. Sci. 19(1): 191321 (2025)- 2024
- [j48]Lin Li
, Jun Xiao, Hanrong Shi, Hanwang Zhang, Yi Yang, Wei Liu, Long Chen:
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6873-6888 (2024) - [j47]Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng:
Blessing few-shot segmentation via semi-supervised learning with noisy support images. Pattern Recognit. 154: 110503 (2024) - [j46]Qianhao Wu, Jiaxin Qi, Dong Zhang, Hanwang Zhang, Jinhui Tang:
Fine-Tuning for Few-Shot Image Classification by Multimodal Prototype Regularization. IEEE Trans. Multim. 26: 8543-8556 (2024) - [j45]Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024) - [c152]Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang:
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection. AAAI 2024: 2049-2057 - [c151]Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang:
MGNet: Learning Correspondences via Multiple Graphs. AAAI 2024: 3945-3953 - [c150]Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CVPR 2024: 7434-7444 - [c149]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. CVPR 2024: 7641-7653 - [c148]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-Based Image Editing. CVPR 2024: 9162-9171 - [c147]Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Disco: Disentangled Control for Realistic Human Dance Generation. CVPR 2024: 9326-9336 - [c146]Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang:
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CVPR 2024: 9892-9902 - [c145]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CVPR 2024: 9948-9958 - [c144]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR 2024: 22797-22808 - [c143]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-Shot Learner Parameterization by Diffusion Time-Steps. CVPR 2024: 23263-23272 - [c142]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CVPR 2024: 23283-23292 - [c141]Wei Suo, Lanqing Lai, Mengyang Sun, Hanwang Zhang, Peng Wang, Yanning Zhang:
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation. ECCV (46) 2024: 18-35 - [c140]Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang:
View-Consistent 3D Editing with Gaussian Splatting. ECCV (35) 2024: 404-420 - [c139]Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang:
Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. ECCV (81) 2024: 446-462 - [c138]Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang:
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. ICLR 2024 - [c137]Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. ICLR 2024 - [c136]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu:
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. ICML 2024 - [c135]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. ICML 2024 - [c134]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. ICML 2024 - [c133]Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang:
Selective Vision-Language Subspace Projection for Few-shot CLIP. ACM Multimedia 2024: 3848-3857 - [c132]Hao Fei, Xiangtai Li, Haotian Liu, Fuxiao Liu, Zhuosheng Zhang, Hanwang Zhang, Shuicheng Yan:
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond. ACM Multimedia 2024: 11289-11291 - [i129]Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang:
MGNet: Learning Correspondences via Multiple Graphs. CoRR abs/2401.04984 (2024) - [i128]Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang:
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection. CoRR abs/2401.05011 (2024) - [i127]Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang:
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CoRR abs/2401.09050 (2024) - [i126]Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. CoRR abs/2401.11430 (2024) - [i125]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CoRR abs/2402.18133 (2024) - [i124]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-shot Learner Parameterization by Diffusion Time-steps. CoRR abs/2403.02649 (2024) - [i123]Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang:
Doubly Abductive Counterfactual Inference for Text-based Image Editing. CoRR abs/2403.02981 (2024) - [i122]Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR abs/2403.04321 (2024) - [i121]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR abs/2403.06606 (2024) - [i120]Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang:
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning. CoRR abs/2403.11070 (2024) - [i119]Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang:
View-Consistent 3D Editing with Gaussian Splatting. CoRR abs/2403.11868 (2024) - [i118]Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang:
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. CoRR abs/2403.18795 (2024) - [i117]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CoRR abs/2404.04562 (2024) - [i116]Liying Gao, Bingliang Jiao, Peng Wang, Shizhou Zhang, Hanwang Zhang, Yanning Zhang:
Dual-Modal Prompting for Sketch-Based Image Retrieval. CoRR abs/2404.18695 (2024) - [i115]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR abs/2405.01926 (2024) - [i114]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR abs/2405.06914 (2024) - [i113]Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You:
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR abs/2405.17403 (2024) - [i112]Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR abs/2406.05127 (2024) - [i111]Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang:
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR abs/2406.06367 (2024) - [i110]Yucheng Han, Rui Wang, Chi Zhang, Juntao Hu, Pei Cheng, Bin Fu, Hanwang Zhang:
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts. CoRR abs/2406.09162 (2024) - [i109]Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao:
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models. CoRR abs/2406.10981 (2024) - [i108]Wei Suo, Lanqing Lai, Mengyang Sun, Hanwang Zhang, Peng Wang, Yanning Zhang:
Visual Prompt Selection for In-Context Learning Segmentation. CoRR abs/2407.10233 (2024) - [i107]Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang:
Selective Vision-Language Subspace Projection for Few-shot CLIP. CoRR abs/2407.16977 (2024) - [i106]Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang:
Instruction Tuning-free Visual Token Complement for Multimodal LLMs. CoRR abs/2408.05019 (2024) - [i105]Kaihang Pan, Zhaoyu Fan, Juncheng Li, Qifan Yu, Hao Fei, Siliang Tang, Richang Hong, Hanwang Zhang, Qianru Sun:
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration. CoRR abs/2409.19872 (2024) - 2023
- [j44]Ji-Rong Wen, Zi Huang, Hanwang Zhang:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023) - [j43]Guyue Hu, Bin He, Hanwang Zhang:
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos. Mach. Intell. Res. 20(2): 249-262 (2023) - [j42]Xu Yang, Hanwang Zhang, Chongyang Gao, Jianfei Cai:
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning. Int. J. Comput. Vis. 131(1): 82-100 (2023) - [j41]Xu Yang, Hanwang Zhang, Jianfei Cai:
Deconfounded Image Captioning: A Causal Retrospect. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12996-13010 (2023) - [j40]Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13218-13234 (2023) - [j39]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023) - [j38]Wei Qin, Hanwang Zhang, Richang Hong, Ee-Peng Lim, Qianru Sun:
Causal Interventional Training for Image Recognition. IEEE Trans. Multim. 25: 1033-1044 (2023) - [j37]Chenchi Zhang, Wenbo Ma, Jun Xiao, Hanwang Zhang, Jian Shao, Yueting Zhuang, Long Chen:
VL-NMS: Breaking Proposal Bottlenecks in Two-stage Visual-language Matching. ACM Trans. Multim. Comput. Commun. Appl. 19(5s): 166:1-166:24 (2023) - [c131]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. AAAI 2023: 3834-3842 - [c130]Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236 - [c129]Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao:
Counterfactual Active Learning for Out-of-Distribution Generalization. ACL (1) 2023: 11362-11377 - [c128]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo-Hwee Lim:
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. BMVC 2023: 650-658 - [c127]Fengyun Wang, Dong Zhang, Hanwang Zhang, Jinhui Tang, Qianru Sun:
Semantic Scene Completion with Cleaner Self. CVPR 2023: 867-877 - [c126]Muli Yang, Liancheng Wang, Cheng Deng, Hanwang Zhang:
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery. CVPR 2023: 3459-3468 - [c125]Hui Lv, Zhongqi Yue, Qianru Sun, Bin Luo, Zhen Cui, Hanwang Zhang:
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. CVPR 2023: 8022-8031 - [c124]Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang:
Learning Trajectory-Word Alignments for Video-Language Tasks. ICCV 2023: 2504-2514 - [c123]Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang:
Random Boxes Are Open-world Object Detectors. ICCV 2023: 6210-6220 - [c122]Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Equivariant Similarity for Vision-Language Foundation Models. ICCV 2023: 11964-11974 - [c121]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. ICCV 2023: 14417-14428 - [c120]Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. ICCV 2023: 15613-15623 - [c119]Haoxin Li, Yuan Liu, Hanwang Zhang, Boyang Li:
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. ICCV 2023: 19854-19866 - [c118]Jiali Ma, Zhongqi Yue, Tomoyuki Kagaya, Tomoki Suzuki, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang:
Invariant Feature Regularization for Fair Face Recognition. ICCV 2023: 20804-20813 - [c117]Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng:
Semi-Supervised Few-Shot Segmentation with Noisy Support Images. ICIP 2023: 1550-1554 - [c116]Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun:
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. ICLR 2023 - [c115]Dongsheng Wang, Miaoge Li, Xinyang Liu, Mingsheng Xu, Bo Chen, Hanwang Zhang:
Tuning Multi-mode Token-level Prompt Alignment across Modalities. NeurIPS 2023 - [c114]Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua:
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion. NeurIPS 2023 - [c113]Zhongqi Yue, Qianru Sun, Hanwang Zhang:
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation. NeurIPS 2023 - [c112]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. NeurIPS 2023 - [i104]Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang:
Learning Trajectory-Word Alignments for Video-Language Tasks. CoRR abs/2301.01953 (2023) - [i103]Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang:
Adaptively Clustering Neighbor Elements for Image Captioning. CoRR abs/2301.01955 (2023) - [i102]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization. CoRR abs/2301.12429 (2023) - [i101]Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun:
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. CoRR abs/2302.00268 (2023) - [i100]Fengyun Wang, Dong Zhang, Hanwang Zhang, Jinhui Tang, Qianru Sun:
Semantic Scene Completion with Cleaner Self. CoRR abs/2303.09977 (2023) - [i99]Hui Lv, Zhongqi Yue, Qianru Sun, Bin Luo, Zhen Cui, Hanwang Zhang:
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. CoRR abs/2303.12369 (2023) - [i98]Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Equivariant Similarity for Vision-Language Foundation Models. CoRR abs/2303.14465 (2023) - [i97]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. CoRR abs/2305.13948 (2023) - [i96]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
An Overview of Challenges in Egocentric Text-Video Retrieval. CoRR abs/2306.04345 (2023) - [i95]Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang:
Fast Diffusion Model. CoRR abs/2306.06991 (2023) - [i94]Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
DisCo: Disentangled Control for Referring Human Dance Generation in Real World. CoRR abs/2307.00040 (2023) - [i93]Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang:
Random Boxes Are Open-world Object Detectors. CoRR abs/2307.08249 (2023) - [i92]Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Hanwang Zhang, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Yueting Zhuang:
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. CoRR abs/2308.04152 (2023) - [i91]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. CoRR abs/2308.09694 (2023) - [i90]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models. CoRR abs/2308.13812 (2023) - [i89]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention. CoRR abs/2309.09311 (2023) - [i88]Zhongqi Yue, Hanwang Zhang, Qianru Sun:
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation. CoRR abs/2309.12742 (2023) - [i87]Dongsheng Wang, Miaoge Li, Xinyang Liu, Mingsheng Xu, Bo Chen, Hanwang Zhang:
Tuning Multi-mode Token-level Prompt Alignment across Modalities. CoRR abs/2309.13847 (2023) - [i86]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. CoRR abs/2310.08106 (2023) - [i85]Jiali Ma, Zhongqi Yue, Tomoyuki Kagaya, Tomoki Suzuki, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang:
Invariant Feature Regularization for Fair Face Recognition. CoRR abs/2310.14652 (2023) - [i84]Yucheng Han, Chi Zhang, Xin Chen, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, Hanwang Zhang:
ChartLlama: A Multimodal LLM for Chart Understanding and Generation. CoRR abs/2311.16483 (2023) - [i83]Yingzhe Peng, Xu Yang, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang:
ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling. CoRR abs/2312.10104 (2023) - 2022
- [j36]Zenan Shi, Chaoqun Chang, Haipeng Chen, Xiaoyu Du, Hanwang Zhang:
PR-NET: Progressively-refined neural network for image manipulation localization. Int. J. Intell. Syst. 37(5): 3166-3188 (2022) - [j35]Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 684-696 (2022) - [j34]Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 710-722 (2022) - [j33]Xu Yang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding and Distilling Scene Graphs for Image Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2313-2327 (2022) - [j32]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas:
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. Pattern Recognit. Lett. 160: 9-10 (2022) - [j31]Tao Mei, Jason J. Corso, Gunhee Kim, Jiebo Luo, Chunhua Shen, Hanwang Zhang:
Guest Editorial Introduction to the Special Section on Video and Language. IEEE Trans. Circuits Syst. Video Technol. 32(1): 1-4 (2022) - [j30]Jin Yuan, Shuai Zhu, Shuyin Huang, Hanwang Zhang, Yaoqiang Xiao, Zhiyong Li, Meng Wang:
Discriminative Style Learning for Cross-Domain Image Captioning. IEEE Trans. Image Process. 31: 1723-1736 (2022) - [j29]Mitra Tajrobehkar, Kaihua Tang, Hanwang Zhang, Joo-Hwee Lim:
Align R-CNN: A Pairwise Head Network for Visual Relationship Detection. IEEE Trans. Multim. 24: 1266-1276 (2022) - [c111]Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang:
Deconfounded Visual Grounding. AAAI 2022: 998-1006 - [c110]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. AAAI 2022: 3589-3597 - [c109]Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69 - [c108]Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang:
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. ACL (1) 2022: 6101-6119 - [c107]Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun:
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. CVPR 2022: 959-968 - [c106]Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. ECCV (25) 2022: 92-109 - [c105]Tan Wang, Qianru Sun, Sugiri Pranata, Jayashree Karlekar, Hanwang Zhang:
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data. ECCV (11) 2022: 241-258 - [c104]Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui:
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) 2022: 433-450 - [c103]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. ECCV (24) 2022: 709-726 - [c102]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV (26) 2022: 739-756 - [c101]Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
On Non-Random Missing Labels in Semi-Supervised Learning. ICLR 2022 - [c100]Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang:
Certified Robustness Against Natural Language Attacks by Causal Intervention. ICML 2022: 26958-26970 - [c99]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. NeurIPS 2022 - [i82]Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun:
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. CoRR abs/2203.00962 (2022) - [i81]Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang:
Certified Robustness Against Natural Language Attacks by Causal Intervention. CoRR abs/2205.12331 (2022) - [i80]Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. CoRR abs/2205.14865 (2022) - [i79]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval. CoRR abs/2206.12845 (2022) - [i78]Burak Satar, Hongyuan Zhu, Hanwang Zhang, Joo Hwee Lim:
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. CoRR abs/2206.14381 (2022) - [i77]Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
On Non-Random Missing Labels in Semi-Supervised Learning. CoRR abs/2206.14923 (2022) - [i76]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. CoRR abs/2207.09504 (2022) - [i75]Tan Wang, Qianru Sun, Sugiri Pranata, Jayashree Karlekar, Hanwang Zhang:
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data. CoRR abs/2207.12258 (2022) - [i74]Lin Li, Long Chen, Hanrong Shi, Hanwang Zhang, Yi Yang, Wei Liu, Jun Xiao:
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation. CoRR abs/2207.13316 (2022) - [i73]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. CoRR abs/2207.13378 (2022) - [i72]Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. CoRR abs/2208.03462 (2022) - [i71]Xu Yang, Hanwang Zhang, Chongyang Gao, Jianfei Cai:
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning. CoRR abs/2210.01338 (2022) - [i70]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. CoRR abs/2210.12787 (2022) - [i69]Jianqiang Huang, Jian Wang, Qianru Sun, Hanwang Zhang:
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation. CoRR abs/2211.10931 (2022) - [i68]Haoxin Li, Yue Wu, Yuan Liu, Hanwang Zhang, Boyang Li:
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground. CoRR abs/2211.12883 (2022) - 2021
- [j28]Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 347-359 (2021) - [j27]Huasong Zhong, Jingyuan Chen, Chen Shen, Hanwang Zhang, Jianqiang Huang, Xian-Sheng Hua:
Self-Adaptive Neural Module Transformer for Visual Question Answering. IEEE Trans. Multim. 23: 1264-1273 (2021) - [j26]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang:
Introduction to the Special Issue on Fine-grained Visual Computing. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 11:1-11:3 (2021) - [c98]Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. AAAI 2021: 1036-1044 - [c97]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236 - [c96]Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. ACL/IJCNLP (1) 2021: 6855-6865 - [c95]Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
Distilling Causal Effect of Data in Class-Incremental Learning. CVPR 2021: 3957-3966 - [c94]Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang:
The Blessings of Unlabeled Background in Untrimmed Videos. CVPR 2021: 6176-6185 - [c93]Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai:
Causal Attention for Vision-Language Tasks. CVPR 2021: 9847-9857 - [c92]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR 2021: 12700-12710 - [c91]Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Counterfactual Zero-Shot and Open-Set Visual Recognition. CVPR 2021: 15404-15414 - [c90]Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang:
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. EMNLP (1) 2021: 4149-4158 - [c89]Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai:
Auto-Parsing Network for Image Captioning and Visual Question Answering. ICCV 2021: 2177-2187 - [c88]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. ICCV 2021: 3071-3080 - [c87]Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, Qianru Sun:
Self-Regulation for Semantic Segmentation. ICCV 2021: 6933-6943 - [c86]Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Transporting Causal Mechanisms for Unsupervised Domain Adaptation. ICCV 2021: 8579-8588 - [c85]Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang:
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NeurIPS 2021: 4356-4369 - [c84]Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. NeurIPS 2021: 16292-16304 - [c83]Tan Wang, Zhongqi Yue, Jianqiang Huang, Qianru Sun, Hanwang Zhang:
Self-Supervised Learning Disentangled Group Representation as Feature. NeurIPS 2021: 18225-18240 - [c82]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021: 1288-1297 - [e1]Tat-Seng Chua, Jingdong Wang, Qi Tian, Cathal Gurrin, Jia Jia, Hanwang Zhang, Qianru Sun:
MMAsia 2020: ACM Multimedia Asia, Virtual Event / Singapore, 7-9 March, 2021. ACM 2021, ISBN 978-1-4503-8308-0 [contents] - [i67]Zhongqi Yue, Tan Wang, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua:
Counterfactual Zero-Shot and Open-Set Visual Recognition. CoRR abs/2103.00887 (2021) - [i66]Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
Distilling Causal Effect of Data in Class-Incremental Learning. CoRR abs/2103.01737 (2021) - [i65]Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai:
Causal Attention for Vision-Language Tasks. CoRR abs/2103.03493 (2021) - [i64]Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang:
The Blessings of Unlabeled Background in Untrimmed Videos. CoRR abs/2103.13183 (2021) - [i63]Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang:
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. CoRR abs/2104.07302 (2021) - [i62]Wenbo Ma, Long Chen, Hanwang Zhang, Jian Shao, Yueting Zhuang, Jun Xiao:
VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching. CoRR abs/2105.05636 (2021) - [i61]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021) - [i60]Kaihua Tang, Mingyuan Tao, Hanwang Zhang:
Adversarial Visual Robustness by Causal Intervention. CoRR abs/2106.09534 (2021) - [i59]Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Transporting Causal Mechanisms for Unsupervised Domain Adaptation. CoRR abs/2107.11055 (2021) - [i58]Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. CoRR abs/2108.01387 (2021) - [i57]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. CoRR abs/2108.08782 (2021) - [i56]Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, Qianru Sun:
Self-Regulation for Semantic Segmentation. CoRR abs/2108.09702 (2021) - [i55]Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai:
Auto-Parsing Network for Image Captioning and Visual Question Answering. CoRR abs/2108.10568 (2021) - [i54]Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. CoRR abs/2110.01013 (2021) - [i53]Tan Wang, Zhongqi Yue, Jianqiang Huang, Qianru Sun, Hanwang Zhang:
Self-Supervised Learning Disentangled Group Representation as Feature. CoRR abs/2110.15255 (2021) - [i52]Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. CoRR abs/2111.01026 (2021) - [i51]Xinshuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang:
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? CoRR abs/2112.11668 (2021) - [i50]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification. CoRR abs/2112.14380 (2021) - [i49]Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang:
Deconfounded Visual Grounding. CoRR abs/2112.15324 (2021) - 2020
- [j25]Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang:
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Knowl. Data Eng. 32(11): 2171-2184 (2020) - [j24]Ning Xu, Hanwang Zhang, An-An Liu, Weizhi Nie, Yuting Su, Jie Nie, Yongdong Zhang:
Multi-Level Policy and Reward-Based Deep Reinforcement Learning Framework for Image Captioning. IEEE Trans. Multim. 22(5): 1372-1383 (2020) - [c81]Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. AAAI 2020: 10502-10509 - [c80]Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense Representation Learning via Causal Inference. CVPR Workshops 2020: 1547-1550 - [c79]Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang:
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. CVPR 2020: 2006-2015 - [c78]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation From Biased Training. CVPR 2020: 3713-3722 - [c77]Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang:
More Grounded Image Captioning by Distilling Image-Text Matching Model. CVPR 2020: 4776-4785 - [c76]Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang:
Iterative Context-Aware Graph Inference for Visual Dialog. CVPR 2020: 10052-10061 - [c75]Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense R-CNN. CVPR 2020: 10757-10767 - [c74]Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang:
Counterfactual Samples Synthesizing for Robust Visual Question Answering. CVPR 2020: 10797-10806 - [c73]Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang:
Two Causal Principles for Improving Visual Dialog. CVPR 2020: 10857-10866 - [c72]Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. CVPR 2020: 14042-14051 - [c71]Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun:
Feature Pyramid Transformer. ECCV (28) 2020: 323-339 - [c70]Jiayuan Dong, Liyan Zhang, Hanwang Zhang, Weichen Liu:
Occlusion-Aware GAN for Face De-Occlusion in the Wild. ICME 2020: 1-6 - [c69]Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai:
Hierarchical Scene Graph Encoder-Decoder for Image Paragraph Captioning. ACM Multimedia 2020: 4181-4189 - [c68]Kaihua Tang, Jianqiang Huang, Hanwang Zhang:
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. NeurIPS 2020 - [c67]Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua:
Interventional Few-Shot Learning. NeurIPS 2020 - [c66]Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, Qianru Sun:
Causal Intervention for Weakly-Supervised Semantic Segmentation. NeurIPS 2020 - [c65]Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann:
Stochastic Dynamics for Video Infilling. WACV 2020: 2703-2712 - [i48]Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. CoRR abs/2001.01290 (2020) - [i47]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation from Biased Training. CoRR abs/2002.11949 (2020) - [i46]Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun:
Visual Commonsense R-CNN. CoRR abs/2002.12204 (2020) - [i45]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. CoRR abs/2003.02587 (2020) - [i44]Xu Yang, Hanwang Zhang, Jianfei Cai:
Deconfounded Image Captioning: A Causal Retrospect. CoRR abs/2003.03923 (2020) - [i43]Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang:
Counterfactual Samples Synthesizing for Robust Visual Question Answering. CoRR abs/2003.06576 (2020) - [i42]Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang:
More Grounded Image Captioning by Distilling Image-Text Matching Model. CoRR abs/2004.00390 (2020) - [i41]Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. CoRR abs/2004.00900 (2020) - [i40]Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang:
Iterative Context-Aware Graph Inference for Visual Dialog. CoRR abs/2004.02194 (2020) - [i39]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i38]Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He:
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. CoRR abs/2007.03875 (2020) - [i37]Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun:
Feature Pyramid Transformer. CoRR abs/2007.09451 (2020) - [i36]Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Wei Liu, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. CoRR abs/2009.01449 (2020) - [i35]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. CoRR abs/2009.09945 (2020) - [i34]Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, Qianru Sun:
Causal Intervention for Weakly-Supervised Semantic Segmentation. CoRR abs/2009.12547 (2020) - [i33]Kaihua Tang, Jianqiang Huang, Hanwang Zhang:
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. CoRR abs/2009.12991 (2020) - [i32]Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua:
Interventional Few-Shot Learning. CoRR abs/2009.13000 (2020)
2010 – 2019
- 2019
- [j23]Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang:
Special issue on multimedia recommendation and multi-modal data analysis. Multim. Syst. 25(6): 591-592 (2019) - [j22]Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji, Heng Tao Shen, Tat-Seng Chua:
More is Better: Precise and Detailed Image Captioning Using Online Positive Recall and Missing Concepts Mining. IEEE Trans. Image Process. 28(1): 32-44 (2019) - [c64]Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. AAAI 2019: 6991-6998 - [c63]Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. AAAI 2019: 6999-7006 - [c62]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CVPR 2019: 6619-6628 - [c61]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CVPR 2019: 6679-6688 - [c60]Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning Over Scene Graphs. CVPR 2019: 8376-8384 - [c59]Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. CVPR 2019: 10685-10694 - [c58]Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang:
Making History Matter: History-Advantage Sequence Training for Visual Dialog. ICCV 2019: 2561-2569 - [c57]Xu Yang, Hanwang Zhang, Jianfei Cai:
Learning to Collocate Neural Modules for Image Captioning. ICCV 2019: 4249-4259 - [c56]Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang:
Counterfactual Critic Multi-Agent Training for Scene Graph Generation. ICCV 2019: 4612-4622 - [c55]Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha:
Learning to Assemble Neural Module Tree Networks for Visual Grounding. ICCV 2019: 4672-4681 - [c54]Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao, Tat-Seng Chua:
Learning Using Privileged Information for Food Recognition. ACM Multimedia 2019: 557-565 - [c53]Tianhao Yang, Zheng-Jun Zha, Hongtao Xie, Meng Wang, Hanwang Zhang:
Question-Aware Tube-Switch Network for Video Question Answering. ACM Multimedia 2019: 1184-1192 - [c52]Ling Shen, Richang Hong, Haoran Zhang, Hanwang Zhang, Meng Wang:
Single-shot Semantic Image Inpainting with Densely Connected Generative Networks. ACM Multimedia 2019: 1861-1869 - [i31]Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang:
Making History Matter: Gold-Critic Sequence Training for Visual Dialog. CoRR abs/1902.09326 (2019) - [i30]Xu Yang, Hanwang Zhang, Jianfei Cai:
Learning to Collocate Neural Modules for Image Captioning. CoRR abs/1904.08608 (2019) - [i29]Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. CoRR abs/1906.01784 (2019) - [i28]Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. CoRR abs/1906.02365 (2019) - [i27]Daqing Liu, Hanwang Zhang, Zheng-Jun Zha, Fanglin Wang:
Referring Expression Grounding by Marginalizing Scene Graph Likelihood. CoRR abs/1906.03561 (2019) - [i26]Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. CoRR abs/1907.03609 (2019) - [i25]Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang:
Two Causal Principles for Improving Visual Dialog. CoRR abs/1911.10496 (2019) - 2018
- [j21]Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder. IEEE Trans. Image Process. 27(7): 3210-3221 (2018) - [j20]Lizi Liao, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Attributed Social Network Embedding. IEEE Trans. Knowl. Data Eng. 30(12): 2257-2270 (2018) - [c51]Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu:
Learning to Guide Decoding for Image Captioning. AAAI 2018: 6959-6966 - [c50]Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang:
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks. CVPR 2018: 1043-1052 - [c49]Hanwang Zhang, Yulei Niu, Shih-Fu Chang:
Grounding Referring Expressions in Images by Variational Context. CVPR 2018: 4158-4166 - [c48]Xu Yang, Hanwang Zhang, Jianfei Cai:
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features. ECCV (12) 2018: 38-54 - [c47]Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang:
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. IJCAI 2018: 821-827 - [c46]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. IJCAI 2018: 3449-3455 - [c45]Hanwang Zhang, Qianru Sun:
Objects, Relationships, and Context in Visual Data. ICMR 2018: 7 - [c44]Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Recommendation Technologies for Multimedia Content. ICMR 2018: 8 - [c43]Daqing Liu, Zheng-Jun Zha, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Sequence-Level Image Captioning. ACM Multimedia 2018: 1416-1424 - [c42]Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. MMM (2) 2018: 327-339 - [c41]Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks. NeurIPS 2018: 983-993 - [i24]Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder. CoRR abs/1802.02305 (2018) - [i23]Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu:
Learning to Guide Decoding for Image Captioning. CoRR abs/1804.00887 (2018) - [i22]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. CoRR abs/1805.02232 (2018) - [i21]Xu Yang, Hanwang Zhang, Jianfei Cai:
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features. CoRR abs/1808.00171 (2018) - [i20]Daqing Liu, Zheng-Jun Zha, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Sequence-Level Image Captioning. CoRR abs/1808.05864 (2018) - [i19]Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann:
Stochastic Video Long-term Interpolation. CoRR abs/1809.00263 (2018) - [i18]Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks. CoRR abs/1810.11730 (2018) - [i17]Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. CoRR abs/1811.02338 (2018) - [i16]Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. CoRR abs/1811.02394 (2018) - [i15]Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning over Scene Graphs. CoRR abs/1812.01855 (2018) - [i14]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CoRR abs/1812.01880 (2018) - [i13]Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang:
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation. CoRR abs/1812.02347 (2018) - [i12]Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. CoRR abs/1812.02378 (2018) - [i11]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CoRR abs/1812.02664 (2018) - [i10]Daqing Liu, Hanwang Zhang, Zheng-Jun Zha, Feng Wu:
Explainability by Parsing: Neural Module Tree Networks for Natural Language Visual Grounding. CoRR abs/1812.03299 (2018) - 2017
- [j19]Mingxing Zhang, Yang Yang, Fumin Shen, Hanwang Zhang, Yuan Wang:
Multi-view feature selection and classification for Alzheimer's Disease diagnosis. Multim. Tools Appl. 76(8): 10761-10775 (2017) - [j18]Mingxing Zhang, Yang Yang, Fumin Shen, Hanwang Zhang, Yuan Wang:
Erratum to: Multi-view feature selection and classification for Alzheimer's Disease Diagnosis. Multim. Tools Appl. 76(8): 10777-10778 (2017) - [j17]Yue Gao, Hanwang Zhang, Xibin Zhao, Shuicheng Yan:
Event Classification in Microblogs via Social Tracking. ACM Trans. Intell. Syst. Technol. 8(3): 35:1-35:14 (2017) - [j16]Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua:
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Trans. Knowl. Data Eng. 29(2): 344-358 (2017) - [j15]Zawlin Kyaw, Shuhan Qi, Ke Gao, Hanwang Zhang, Luming Zhang, Jun Xiao, Xuan Wang, Tat-Seng Chua:
Matryoshka Peek: Toward Learning Fine-Grained, Robust, Discriminative Features for Product Search. IEEE Trans. Multim. 19(6): 1272-1284 (2017) - [j14]Lianli Gao, Zhao Guo, Hanwang Zhang, Xing Xu, Heng Tao Shen:
Video Captioning With Attention-Based LSTM and Semantic Consistency. IEEE Trans. Multim. 19(9): 2045-2055 (2017) - [j13]Na Zhao, Hanwang Zhang, Richang Hong, Meng Wang, Tat-Seng Chua:
VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks. IEEE Trans. Multim. 19(9): 2080-2092 (2017) - [c40]Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji, Ning Xie, Heng Tao Shen:
Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database. ADC 2017: 261-272 - [c39]Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua:
Visual Translation Embedding Network for Visual Relation Detection. CVPR 2017: 3107-3115 - [c38]Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. CVPR 2017: 6298-6306 - [c37]Hanwang Zhang, Zawlin Kyaw, Jinyang Yu, Shih-Fu Chang:
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN. ICCV 2017: 4243-4251 - [c36]Na Zhao, Hanwang Zhang, Mingxing Zhang, Richang Hong, Meng Wang, Tat-Seng Chua:
VIDEOWHISPER: Towards unsupervised learning of discriminative features of videos with RNN. ICME 2017: 277-282 - [c35]Xindi Shang, Tongwei Ren, Hanwang Zhang, Gangshan Wu, Tat-Seng Chua:
Object trajectory proposal. ICME 2017: 331-336 - [c34]Lili Kong, Jiancheng Lv, Mao Li, Hanwang Zhang:
Extracting Generic Features of Artistic Style via Deep Convolutional Neural Network. ICVIP 2017: 119-123 - [c33]Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua:
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. IJCAI 2017: 3119-3125 - [c32]Tongtao Zhang, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph G. Ellis, Lifu Huang, Wei Liu, Heng Ji, Shih-Fu Chang:
Improving Event Extraction via Multimodal Integration. ACM Multimedia 2017: 270-278 - [c31]Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian:
Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia 2017: 1192-1200 - [c30]Xindi Shang, Tongwei Ren, Jingfan Guo, Hanwang Zhang, Tat-Seng Chua:
Video Visual Relation Detection. ACM Multimedia 2017: 1300-1308 - [c29]Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He, Yueting Zhuang:
Video Question Answering via Gradually Refined Attention over Appearance and Motion. ACM Multimedia 2017: 1645-1653 - [c28]Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua:
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. SIGIR 2017: 335-344 - [c27]Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. WWW 2017: 173-182 - [i9]Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua:
Visual Translation Embedding Network for Visual Relation Detection. CoRR abs/1702.08319 (2017) - [i8]Lizi Liao, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Attributed Social Network Embedding. CoRR abs/1705.04969 (2017) - [i7]Hanwang Zhang, Zawlin Kyaw, Jinyang Yu, Shih-Fu Chang:
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN. CoRR abs/1708.01956 (2017) - [i6]Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua:
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. CoRR abs/1708.04617 (2017) - [i5]Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua:
Fast Matrix Factorization for Online Recommendation with Implicit Feedback. CoRR abs/1708.05024 (2017) - [i4]Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. CoRR abs/1708.05031 (2017) - [i3]Hanwang Zhang, Yulei Niu, Shih-Fu Chang:
Grounding Referring Expressions in Images by Variational Context. CoRR abs/1712.01892 (2017) - [i2]Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang:
Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Network. CoRR abs/1712.01928 (2017) - 2016
- [j12]Na Zhao, Hanwang Zhang, Meng Wang, Richang Hong, Tat-Seng Chua:
Learning content-social influential features for influence analysis. Int. J. Multim. Inf. Retr. 5(3): 137-149 (2016) - [j11]Mingxing Zhang, Yang Yang, Hanwang Zhang, Fumin Shen, Dongxiang Zhang:
L2, p-norm and sample constraint based feature selection and classification for AD diagnosis. Neurocomputing 195: 104-111 (2016) - [j10]Fumin Shen, Hanwang Zhang, Yang Yang:
Binary representation learning in computer vision. Neurocomputing 213: 1-4 (2016) - [j9]Fumin Shen, Wankou Yang, Hanxi Li, Hanwang Zhang, Heng Tao Shen:
Robust regression based face recognition with fast outlier removal. Multim. Tools Appl. 75(20): 12535-12546 (2016) - [j8]Xishan Zhang, Hanwang Zhang, Yongdong Zhang, Yang Yang, Meng Wang, Huan-Bo Luan, Jintao Li, Tat-Seng Chua:
Deep Fusion of Multiple Semantic Cues for Complex Event Recognition. IEEE Trans. Image Process. 25(3): 1033-1046 (2016) - [j7]Luoqi Liu, Chao Xiong, Hanwang Zhang, Zhiheng Niu, Meng Wang, Shuicheng Yan:
Deep Aging Face Verification With Large Gaps. IEEE Trans. Multim. 18(1): 64-75 (2016) - [j6]Hanwang Zhang, Xindi Shang, Huan-Bo Luan, Meng Wang, Tat-Seng Chua:
Learning from Collective Intelligence: Feature Learning Using Social Images and Tags. ACM Trans. Multim. Comput. Commun. Appl. 13(1): 1:1-1:23 (2016) - [c26]Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua:
Discrete Image Hashing Using Large Weakly Annotated Photo Collections. AAAI 2016: 3669-3675 - [c25]Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua:
Online Collaborative Learning for Open-Vocabulary Visual Classifiers. CVPR 2016: 2809-2817 - [c24]Shuhan Qi, Kyaw Zawlin, Hanwang Zhang, Xuan Wang, Ke Gao, Lin Yao, Tat-Seng Chua:
Saliency meets spatial quantization: A practical framework for large scale product search. ICME Workshops 2016: 1-6 - [c23]Richang Hong, Jun He, Hanwang Zhang, Tat-Seng Chua:
Mental Visual Indexing: Towards Fast Video Browsing. ACM Multimedia 2016: 621-625 - [c22]Jun He, Hanwang Zhang, Ling Shen, Richang Hong, Tat-Seng Chua:
An Intention-Aware Interactive System for Mobile Video Browsing. ACM Multimedia 2016: 705-707 - [c21]Hanwang Zhang, Meng Wang, Richang Hong, Tat-Seng Chua:
Play and Rewind: Optimizing Binary Representations of Videos by Self-Supervised Temporal Hashing. ACM Multimedia 2016: 781-790 - [c20]Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua:
Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. ACM Multimedia 2016: 898-907 - [c19]Xindi Shang, Hanwang Zhang, Tat-Seng Chua:
Deep Learning Generic Features for Cross-Media Retrieval. MMM (1) 2016: 264-275 - [c18]Jun He, Xindi Shang, Hanwang Zhang, Tat-Seng Chua:
Mental Visual Browsing. MMM (2) 2016: 424-428 - [c17]Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, Tat-Seng Chua:
Discrete Collaborative Filtering. SIGIR 2016: 325-334 - [c16]Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua:
Fast Matrix Factorization for Online Recommendation with Implicit Feedback. SIGIR 2016: 549-558 - [i1]Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning. CoRR abs/1611.05594 (2016) - 2015
- [j5]Jingwen Bian, Yang Yang, Hanwang Zhang, Tat-Seng Chua:
Multimedia Summarization for Social Events in Microblog Stream. IEEE Trans. Multim. 17(2): 216-228 (2015) - [j4]Xishan Zhang, Yang Yang, Yongdong Zhang, Huan-Bo Luan, Jintao Li, Hanwang Zhang, Tat-Seng Chua:
Enhancing Video Event Recognition Using Automatically Constructed Semantic-Visual Knowledge Base. IEEE Trans. Multim. 17(9): 1562-1575 (2015) - [c15]Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua:
Learning Image and User Features for Recommendation in Social Networks. ICCV 2015: 4274-4282 - [c14]Yang Yang, Hanwang Zhang, Mingxing Zhang, Fumin Shen, Xuelong Li:
Visual Coding in a Semantic Hierarchy. ACM Multimedia 2015: 59-68 - [c13]Mengqiu Hu, Yang Yang, Hanwang Zhang, Fumin Shen, Jie Shao, Fuhao Zou:
Multi-view Semi-supervised Learning for Web Image Annotation. ACM Multimedia 2015: 947-950 - [c12]Hanwang Zhang, Xindi Shang, Huan-Bo Luan, Yang Yang, Tat-Seng Chua:
Learning Features from Large-Scale, Noisy and Social Image-Tag Collection. ACM Multimedia 2015: 1079-1082 - [c11]Mingxing Zhang, Fumin Shen, Hanwang Zhang, Ning Xie, Wankou Yang:
Hashing with Inductive Supervised Learning. PCM (2) 2015: 447-455 - 2014
- [j3]Hanwang Zhang, Zheng-Jun Zha, Yang Yang, Shuicheng Yan, Tat-Seng Chua:
Robust (Semi) Nonnegative Graph Embedding. IEEE Trans. Image Process. 23(7): 2996-3012 (2014) - [j2]Hanwang Zhang, Zheng-Jun Zha, Yang Yang, Shuicheng Yan, Yue Gao, Tat-Seng Chua:
Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 11(1s): 21:1-21:21 (2014) - [c10]Yang Yang, Yue Gao, Hanwang Zhang, Jie Shao, Tat-Seng Chua:
Image Tagging with Social Assistance. ICMR 2014: 81 - [c9]Hanwang Zhang, Yang Yang, Huan-Bo Luan, Shuicheng Yan, Tat-Seng Chua:
Start from Scratch: Towards Automatically Identifying, Modeling, and Naming Visual Attributes. ACM Multimedia 2014: 187-196 - [c8]Luming Zhang, Yue Gao, Chao Zhang, Hanwang Zhang, Qi Tian, Roger Zimmermann:
Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment. ACM Multimedia 2014: 237-246 - [c7]Xue Geng, Hanwang Zhang, Zheng Song, Yang Yang, Huan-Bo Luan, Tat-Seng Chua:
One of a Kind: User Profiling by Social Curation. ACM Multimedia 2014: 567-576 - 2013
- [j1]Zheng-Jun Zha, Hanwang Zhang, Meng Wang, Huan-Bo Luan, Tat-Seng Chua:
Detecting Group Activities With Multi-Camera Context. IEEE Trans. Circuits Syst. Video Technol. 23(5): 856-869 (2013) - [c6]Hanwang Zhang, Zheng-Jun Zha, Yang Yang, Shuicheng Yan, Yue Gao, Tat-Seng Chua:
Attribute-augmented semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval. ACM Multimedia 2013: 33-42 - 2012
- [c5]Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Meng Wang, Tat-Seng Chua:
Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels. CVPR 2012: 2464-2471 - [c4]Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Jingwen Bian, Tat-Seng Chua:
Attribute feedback. ACM Multimedia 2012: 79-88 - [c3]Jingwen Bian, Zheng-Jun Zha, Hanwang Zhang, Qi Tian, Tat-Seng Chua:
Visual query attributes suggestion. ACM Multimedia 2012: 869-872 - [c2]Hanwang Zhang, Zheng-Jun Zha, Jingwen Bian, Yue Gao, Huan-Bo Luan, Tat-Seng Chua:
Attribute feedback. ACM Multimedia 2012: 1339-1340
2000 – 2009
- 2009
- [c1]Fei Wu, Dingyin Xia, Yueting Zhuang, Hanwang Zhang, Wenhao Liu:
Web image interpretation: semi-supervised mining annotated words. ICME 2009: 1512-1515
Coauthor Index
[j45] [c150] [c149] [c138] [c134] [i122] [i115] [i112] [j39] [c130] [c114] [i92] [i90] [c109] [c97] [c82] [e1] [i61] [i45] [i35] [j22] [c54] [j20] [c44] [c42] [j16] [j15] [j13] [c39] [c38] [c36] [c35] [c33] [c30] [c28] [c27] [i9] [i8] [i6] [i5] [i4] [j12] [j8] [j6] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i1] [j5] [j4] [c15] [c12] [j3] [j2] [c10] [c9] [c7] [j1] [c6] [c5] [c4] [c3] [c2]
Joo-Hwee Lim
aka: Joo Hwee Lim
aka: Joo Hwee Lim
[c143] [c137] [i126] [i124] [i105] [j38] [c127] [c125] [c121] [c116] [c113] [c112] [i101] [i100] [i99] [i91] [i88] [i86] [c111] [c107] [c106] [c105] [i82] [i75] [i72] [i69] [c91] [c88] [c87] [c86] [c83] [e1] [i67] [i59] [i57] [i56] [i53] [i49] [c80] [c75] [c71] [c67] [c66] [i46] [i37] [i34] [i32] [c45]
Zhengjun Zha
aka: Zheng-Jun Zha
aka: Zheng-Jun Zha
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