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2020 – today
- 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) - [c149]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 - [c148]Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang:
MGNet: Learning Correspondences via Multiple Graphs. AAAI 2024: 3945-3953 - [c147]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 - [c146]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 - [c145]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 - [c144]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 - [c143]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 - [c142]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 - [c141]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 - [c140]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-Shot Learner Parameterization by Diffusion Time-Steps. CVPR 2024: 23263-23272 - [c139]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 - [c138]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 - [c137]Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang:
View-Consistent 3D Editing with Gaussian Splatting. ECCV (35) 2024: 404-420 - [c136]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 - [c135]Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. ICLR 2024 - [c134]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 - [c133]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 - [c132]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 - [i128]Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang:
MGNet: Learning Correspondences via Multiple Graphs. CoRR abs/2401.04984 (2024) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-shot Learner Parameterization by Diffusion Time-steps. CoRR abs/2403.02649 (2024) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang:
View-Consistent 3D Editing with Gaussian Splatting. CoRR abs/2403.11868 (2024) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - 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]