Zuxuan Wu

311 papers A* 76A 6B 2Misc 1Journal 207Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5.
CoRR
Xingjun Ma, Yixu Wang, Hengyuan Xu, Yutao Wu, Yifan Ding, Yunhan Zhao, Zilong Wang, Jiabin Hua, Ming Wen, Jianan Liu, Ranjie Duan, Yifeng Gao, Yingshui Tan, Yunhao Chen, Hui Xue, Xin Wang, Wei Cheng, Jingjing Chen, Zuxuan Wu, Bo Li, Yu-Gang Jiang
2026 J jnl
ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation.
CoRR
Zihan Yang, Shuyuan Tu, Licheng Zhang, Qi Dai, Yu-Gang Jiang, Zuxuan Wu
2026 J jnl
CL-bench: A Benchmark for Context Learning.
CoRR
Shihan Dou, Ming Zhang, Zhangyue Yin, Chenhao Huang, Yujiong Shen, Junzhe Wang, Jiayi Chen, Yuchen Ni, Junjie Ye, Cheng Zhang, Huaibing Xie, Jianglu Hu, Shaolei Wang, Weichao Wang, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Pluto Zhou, Tao Gui, Zuxuan Wu, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao
2026 J jnl
CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization.
CoRR
Yitong Chen, Zuxuan Wu, Xipeng Qiu, Yu-Gang Jiang
2026 J jnl
DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation.
CoRR
Haoyu Zhao, Yuang Zhang, Junqi Cheng, Jiaxi Gu, Zenghui Lu, Peng Shu, Zuxuan Wu, Yu-Gang Jiang
2026 A* conf
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning.
AAAI
Wenhao Yao, Zhenxin Li, Shiyi Lan, Zi Wang, Xinglong Sun, José M. Álvarez, Zuxuan Wu
2026 J jnl
Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention.
CoRR
Xiaosong Jia, Yihang Sun, Junqi You, Songbur Wong, Zichen Zou, Junchi Yan, Zuxuan Wu, Yu-Gang Jiang
2026 J jnl
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions.
CoRR
Peng Li, Zihan Zhuang, Yangfan Gao, Yi Dong, Sixian Li, Changhao Jiang, Shihan Dou, Zhiheng Xi, Enyu Zhou, Jixuan Huang, Hui Li, Jingjing Gong, Xingjun Ma, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2026 J jnl
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance.
CoRR
Quanhao Li, Zhen Xing, Rui Wang, Haidong Cao, Qi Dai, Daoguo Dong, Zuxuan Wu
2026 J jnl
FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding.
CoRR
Yiweng Xie, Bo He, Junke Wang, Xiangyu Zheng, Ziyi Ye, Zuxuan Wu
2026 A* conf
Human2Robot: Learning Robot Actions from Paired Human-Robot Videos.
AAAI
Sicheng Xie, Haidong Cao, Zejia Weng, Zhen Xing, Haoran Chen, Shiwei Shen, Jiaqi Leng, Zuxuan Wu, Yu-Gang Jiang
2026 J jnl
LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuchen Su, Zhineng Chen, Yongkun Du, Zuxuan Wu, Hongtao Xie, Yu-Gang Jiang
2026 J jnl
LSTD: Long Short-Term Temporal Diffusion for Video Generation.
IEEE Trans. Multim.
Haoyu Zhao, Jiaxi Gu, Shicong Wang, Tianyi Lu, Xing Zhang, Zuxuan Wu, Hang Xu, Yu-Gang Jiang
2026 J jnl
Learning Accurate Segmentation Purely from Self-Supervision.
CoRR
Zuyao You, Zuxuan Wu, Yu-Gang Jiang
2026 J jnl
Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference.
CoRR
Jiaqi Leng, Shuyuan Tu, Haidong Cao, Sicheng Xie, Daoguo Dong, Zuxuan Wu, Yu-Gang Jiang
2026 J jnl
Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning Policy.
CoRR
Shujian Gao, Yuan Wang, Jiangtao Yan, Zuxuan Wu, Yu-Gang Jiang
2026 J jnl
UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling.
CoRR
Zhihao Sun, Tong Wu, Ruirui Tu, Daoguo Dong, Zuxuan Wu
2026 J jnl
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding.
CoRR
Zhihao He, Tieyuan Chen, Kangyu Wang, Ziran Qin, Yang Shao, Chaofan Gan, Shijie Li, Zuxuan Wu, Weiyao Lin
2026 J jnl
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding.
CoRR
Jiapeng Shi, Junke Wang, Zuyao You, Bo He, Zuxuan Wu
2026 J jnl
WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing.
CoRR
Hui Zhang, Juntao Liu, Zongkai Liu, Liqiang Niu, Fandong Meng, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models.
CoRR
Quan-Sheng Zeng, Yunheng Li, Qilong Wang, Peng-Tao Jiang, Zuxuan Wu, Ming-Ming Cheng, Qibin Hou
2025 J jnl
A Survey on Video Diffusion Models.
ACM Comput. Surv.
Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning.
CoRR
Haoran Chen, Ping Wang, Zihan Zhou, Xu Zhang, Zuxuan Wu, Yu-Gang Jiang
2025 A* conf
AdaDiff: Adaptive Step Selection for Fast Diffusion Models.
AAAI
Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang
2025 A* conf
Adaptive Retention & Correction: Test-Time Training for Continual Learning.
ICLR
Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang
2025 Misc conf
Advancing Dark Action Recognition via Modality Fusion and Dark-to-Light Diffusion Model.
ICASSP
Yuxuan Wang, Zhen Xing, Zuxuan Wu
2025 J jnl
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning.
CoRR
Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Honglin Guo, Jiaqi Liu, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
2025 — conf
AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments.
ACL (1)
Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Aligning Anime Video Generation with Human Feedback.
CoRR
Bingwen Zhu, Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Yin, Yidi Wu, Huyang Sun, Zuxuan Wu
2025 J jnl
Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue.
CoRR
Xingyao Lin, Xinghao Zhu, Tianyi Lu, Sicheng Xie, Hui Zhang, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
BMB: Balanced Memory Bank for Long-Tailed Semi-Supervised Learning.
IEEE Trans. Multim.
Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2025 A* conf
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers.
CVPR
Hui Zhang, Tingwei Gao, Jie Shao, Zuxuan Wu
2025 J jnl
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers.
CoRR
Hui Zhang, Tingwei Gao, Jie Shao, Zuxuan Wu
2025 J jnl
COSMO-RL: Towards Trustworthy LMRMs via Joint Safety and Stability.
CoRR
Yizhuo Ding, Mingkang Chen, Qiuhua Liu, Fenghua Weng, Wanying Qu, Yue Yang, Yu-Gang Jiang, Zuxuan Wu, Yanwei Fu, Wenqi Shao
2025 J jnl
CoMP: Continual Multimodal Pre-training for Vision Foundation Models.
CoRR
Yitong Chen, Lingchen Meng, Wujian Peng, Zuxuan Wu, Yu-Gang Jiang
2025 A* conf
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection.
AAAI
Yitong Chen, Wenhao Yao, Lingchen Meng, Sihong Wu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design.
CoRR
Hui Zhang, Dexiang Hong, Maoke Yang, Yutao Cheng, Zhao Zhang, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities.
CoRR
Ziwei Zhou, Rui Wang, Zuxuan Wu
2025 J jnl
DeRA: Decoupled Representation Alignment for Video Tokenization.
CoRR
Pengbo Guo, Junke Wang, Zhen Xing, Chengxu Liu, Daoguo Dong, Xueming Qian, Zuxuan Wu
2025 J jnl
DiffusionAD: Norm-Guided One-Step Denoising Diffusion for Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Hui Zhang, Zheng Wang, Dan Zeng, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning.
CoRR
Wenhao Yao, Zhenxin Li, Shiyi Lan, Zi Wang, Xinglong Sun, José M. Álvarez, Zuxuan Wu
2025 J jnl
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation.
CoRR
Haoyu Zhao, Zhongang Qi, Cong Wang, Qingping Zheng, Guansong Lu, Fei Chen, Hang Xu, Zuxuan Wu
2025 A* conf
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation.
CVPR
Zihao Zhang, Haoran Chen, Haoyu Zhao, Guansong Lu, Yanwei Fu, Hang Xu, Zuxuan Wu
2025 J jnl
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation.
CoRR
Zihao Zhang, Haoran Chen, Haoyu Zhao, Guansong Lu, Yanwei Fu, Hang Xu, Zuxuan Wu
2025 J jnl
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients.
CoRR
Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan
2025 A* conf
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients.
AAAI
Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan
2025 A* conf
FOCUS: Towards Universal Foreground Segmentation.
AAAI
Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu
2025 J jnl
FOCUS: Towards Universal Foreground Segmentation.
CoRR
Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu
2025 J jnl
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection.
Proc. IEEE
Junke Wang, Zhenxin Li, Chao Zhang, Jingjing Chen, Zuxuan Wu, Larry S. Davis, Yu-Gang Jiang
2025 J jnl
FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction.
CoRR
Shuyuan Tu, Yueming Pan, Yinming Huang, Xintong Han, Zhen Xing, Qi Dai, Kai Qiu, Chong Luo, Zuxuan Wu
2025 J jnl
FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization.
CoRR
Peng Zheng, Ye Wang, Rui Ma, Zuxuan Wu
2025 J jnl
FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models.
CoRR
Xin Wang, Jie Li, Zejia Weng, Yixu Wang, Yifeng Gao, Tianyu Pang, Chao Du, Yan Teng, Yingchun Wang, Zuxuan Wu, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
Generalized Trajectory Scoring for End-to-end Multimodal Planning.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2025 J jnl
HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies.
CoRR
Zhiying Du, Bei Liu, Yaobo Liang, Yichao Shen, Haidong Cao, Xiangyu Zheng, Zhiyuan Feng, Zuxuan Wu, Jiaolong Yang, Yu-Gang Jiang
2025 J jnl
Human2Robot: Learning Robot Actions from Paired Human-Robot Videos.
CoRR
Sicheng Xie, Haidong Cao, Zejia Weng, Zhen Xing, Shiwei Shen, Jiaqi Leng, Xipeng Qiu, Yanwei Fu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.
CoRR
Kailin Li, Zhenxin Li, Shiyi Lan, Yuan Xie, Zhizhong Zhang, Jiayi Liu, Zuxuan Wu, Zhiding Yu, José M. Álvarez
2025 J jnl
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.
CoRR
Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, José M. Álvarez
2025 J jnl
LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting.
CoRR
Yuchen Su, Zhineng Chen, Yongkun Du, Zuxuan Wu, Hongtao Xie, Yu-Gang Jiang
2025 J jnl
MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance.
CoRR
Quanhao Li, Zhen Xing, Rui Wang, Hui Zhang, Qi Dai, Zuxuan Wu
2025 J jnl
Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation.
CoRR
Haoran Chen, Zexiao Wang, Haidong Cao, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Multimodal Referring Segmentation: A Survey.
CoRR
Henghui Ding, Song Tang, Shuting He, Chang Liu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Junke Wang, Zuxuan Wu, Dongdong Chen, Chong Luo, Xiyang Dai, Lu Yuan, Yu-Gang Jiang
2025 J jnl
Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning.
CoRR
Zuyao You, Junke Wang, Lingyu Kong, Bo He, Zuxuan Wu
2025 J jnl
PreferThinker: Reasoning-based Personalized Image Preference Assessment.
CoRR
Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo
2025 J jnl
Preserving Cross-Modal Consistency for CLIP-based Class-Incremental Learning.
CoRR
Haoran Chen, Houze Xu, Micah Goldblum, Daoguo Dong, Zuxuan Wu
2025 A* conf
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning.
EMNLP
Rui Wang, Bohao Li, Xiyang Dai, Jianwei Yang, Yi-ling Chen, Zhen Xing, Yifan Yang, Dongdong Chen, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Repeating Words for Video-Language Retrieval with Coarse-to-Fine Objectives.
CoRR
Haoyu Zhao, Jiaxi Gu, Shicong Wang, Xing Zhang, Hang Xu, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis.
CoRR
Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu
2025 J jnl
RoboOmni: Proactive Robot Manipulation in Omni-modal Context.
CoRR
Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model Safety.
CoRR
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.
Found. Trends Priv. Secur.
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning.
CoRR
Zuyao You, Zuxuan Wu
2025 J jnl
Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control.
CoRR
Danfeng Li, Hui Zhang, Sheng Wang, Jiacheng Li, Zuxuan Wu
2025 J jnl
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL.
CoRR
Junke Wang, Zhi Tian, Xun Wang, Xinyu Zhang, Weilin Huang, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
Stable Offline Hand-Eye Calibration for any Robot with Just One Mark.
CoRR
Sicheng Xie, Lingchen Meng, Zhiying Du, Shuyuan Tu, Haidong Cao, Jiaqi Leng, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
StableAnimator++: Overcoming Pose Misalignment and Face Distortion for Human Image Animation.
CoRR
Shuyuan Tu, Zhen Xing, Xintong Han, Zhi-Qi Cheng, Qi Dai, Chong Luo, Zuxuan Wu, Yu-Gang Jiang
2025 A* conf
StableAnimator: High-Quality Identity-Preserving Human Image Animation.
CVPR
Shuyuan Tu, Zhen Xing, Xintong Han, Zhi-Qi Cheng, Qi Dai, Chong Luo, Zuxuan Wu
2025 J jnl
StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation.
CoRR
Shuyuan Tu, Yueming Pan, Yinming Huang, Xintong Han, Zhen Xing, Qi Dai, Chong Luo, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction.
CoRR
Yukuo Ma, Cong Liu, Junke Wang, Junqi Liu, Haibin Huang, Zuxuan Wu, Chi Zhang, Xuelong Li
2025 J jnl
The Role of ViT Design and Training in Robustness to Common Corruptions.
IEEE Trans. Multim.
Rui Tian, Zuxuan Wu, Qi Dai, Micah Goldblum, Han Hu, Yu-Gang Jiang
2025 J jnl
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks.
CoRR
Yixin Cao, Shibo Hong, Xinze Li, Jiahao Ying, Yubo Ma, Haiyuan Liang, Yantao Liu, Zijun Yao, Xiaozhi Wang, Dan Huang, Wenxuan Zhang, Lifu Huang, Muhao Chen, Lei Hou, Qianru Sun, Xingjun Ma, Zuxuan Wu, Min-Yen Kan, David Lo, Qi Zhang, Heng Ji, Jing Jiang, Juanzi Li, Aixin Sun, Xuanjing Huang, Tat-Seng Chua, Yu-Gang Jiang
2025 J jnl
UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning.
CoRR
Rui Tian, Mingfei Gao, Haiming Gang, Jiasen Lu, Zhe Gan, Yinfei Yang, Zuxuan Wu, Afshin Dehghan
2025 J jnl
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation.
CoRR
Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan
2025 J jnl
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning.
CoRR
Ziqiang Xu, Qi Dai, Tian Xie, Yifan Yang, Kai Qiu, Dongdong Chen, Zuxuan Wu, Chong Luo
2025 J jnl
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Jingde Chen, Nadine Chang, Maying Shen, Jingyu Song, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2024 J jnl
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction.
CoRR
Zhen Xing, Qi Dai, Zejia Weng, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Adaptive Cross-Modal Transferable Adversarial Attacks From Images to Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Adaptive Rentention & Correction for Continual Learning.
CoRR
Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.
CoRR
Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.
NeurIPS
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
2024 J jnl
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.
CoRR
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
2024 J jnl
AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding.
CoRR
Xing Zhang, Jiaxi Gu, Haoyu Zhao, Shicong Wang, Hang Xu, Renjing Pei, Songcen Xu, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
CVPR
Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu
2024 J jnl
Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang
2024 J jnl
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection.
CoRR
Yitong Chen, Wenhao Yao, Lingchen Meng, Sihong Wu, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation.
CoRR
Hui Zhang, Dexiang Hong, Tingwei Gao, Yitong Wang, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs.
NeurIPS
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
2024 J jnl
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs.
CoRR
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
2024 J jnl
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers.
CoRR
Weijie Zheng, Xingjun Ma, Hanxun Huang, Zuxuan Wu, Yu-Gang Jiang
2024 — conf
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation.
ECCV (59)
Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei
2024 J jnl
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation.
CoRR
Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei
2024 J jnl
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.
CoRR
Zhiheng Xi, Dingwen Yang, Jixuan Huang, Jiafu Tang, Guanyu Li, Yiwen Ding, Wei He, Boyang Hong, Shihan Dou, WenYu Zhan, Xiao Wang, Rui Zheng, Tao Ji, Xiaowei Shi, Yitao Zhai, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Zuxuan Wu, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Yu-Gang Jiang
2024 J jnl
FDGaussian: Fast Gaussian Splatting from Single Image via Geometric-aware Diffusion Model.
CoRR
Qijun Feng, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection.
CoRR
Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.
ACM Multimedia
Tianyi Lu, Xing Zhang, Jiaxi Gu, Renjing Pei, Songcen Xu, Xingjun Ma, Hang Xu, Zuxuan Wu
2024 A* conf
GenRec: Unifying Video Generation and Recognition with Diffusion Models.
NeurIPS
Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
GenRec: Unifying Video Generation and Recognition with Diffusion Models.
CoRR
Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Zejia Weng, Zuxuan Wu, Hengduo Li, Jingjing Chen, Yu-Gang Jiang
2024 J jnl
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
CoRR
Zhenxin Li, Kailin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Yishen Ji, Zhiqi Li, Ziyue Zhu, Jan Kautz, Zuxuan Wu, Yu-Gang Jiang, José M. Álvarez
2024 J jnl
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning.
CoRR
Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
Learning to Rank Patches for Unbiased Image Redundancy Reduction.
CVPR
Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang
2024 J jnl
Learning to Rank Patches for Unbiased Image Redundancy Reduction.
CoRR
Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang
2024 J jnl
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.
CoRR
Zhengfu He, Wentao Shu, Xuyang Ge, Lingjie Chen, Junxuan Wang, Yunhua Zhou, Frances Liu, Qipeng Guo, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu
2024 — conf
MagDiff: Multi-alignment Diffusion for High-Fidelity Video Generation and Editing.
ECCV (18)
Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu, Hang Xu, Yu-Gang Jiang
2024 A* conf
ModelLock: Locking Your Model With a Spell.
ACM Multimedia
Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
ModelLock: Locking Your Model With a Spell.
CoRR
Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
MotionEditor: Editing Video Motion via Content-Aware Diffusion.
CVPR
Shuyuan Tu, Qi Dai, Zhi-Qi Cheng, Han Hu, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion.
CoRR
Shuyuan Tu, Qi Dai, Zihao Zhang, Sicheng Xie, Zhi-Qi Cheng, Chong Luo, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR
Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation.
NeurIPS
Junke Wang, Yi Jiang, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation.
CoRR
Junke Wang, Yi Jiang, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
OmniViD: A Generative Framework for Universal Video Understanding.
CVPR
Junke Wang, Dongdong Chen, Chong Luo, Bo He, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
OmniVid: A Generative Framework for Universal Video Understanding.
CoRR
Junke Wang, Dongdong Chen, Chong Luo, Bo He, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
PoseAnimate: Zero-shot high fidelity pose controllable character animation.
CoRR
Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Yu-Gang Jiang, Guo-Jun Qi
2024 — conf
PromptFusion: Decoupling Stability and Plasticity for Continual Learning.
ECCV (87)
Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang
2024 J jnl
REDUCIO! Generating 1024⨉1024 Video within 16 Seconds using Extremely Compressed Motion Latents.
CoRR
Rui Tian, Qi Dai, Jianmin Bao, Kai Qiu, Yifan Yang, Chong Luo, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR
Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 — conf
SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
ECCV (38)
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2024 A* conf
SimDA: Simple Diffusion Adapter for Efficient Video Generation.
CVPR
Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
StableAnimator: High-Quality Identity-Preserving Human Image Animation.
CoRR
Shuyuan Tu, Zhen Xing, Xintong Han, Zhi-Qi Cheng, Qi Dai, Chong Luo, Zuxuan Wu
2024 A* conf
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding.
CVPR
Wujian Peng, Sicheng Xie, Zuyao You, Shiyi Lan, Zuxuan Wu
2024 J jnl
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results.
CoRR
Jiaqi Wang, Yuhang Zang, Pan Zhang, Tao Chu, Yuhang Cao, Zeyi Sun, Ziyu Liu, Xiaoyi Dong, Tong Wu, Dahua Lin, Zeming Chen, Zhi Wang, Lingchen Meng, Wenhao Yao, Jianwei Yang, Sihong Wu, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Peixi Wu, Bosong Chai, Xuan Nie, Longquan Yan, Zeyu Wang, Qifan Zhou, Boning Wang, Jiaqi Huang, Zunnan Xu, Xiu Li, Kehong Yuan, Yanyan Zu, Jiayao Ha, Qiong Gao, Licheng Jiao
2024 J jnl
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.
CoRR
Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu
2024 A* conf
Zero-shot High-fidelity and Pose-controllable Character Animation.
IJCAI
Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang
2023 J jnl
A Survey on Video Diffusion Models.
CoRR
Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
AdaDiff: Adaptive Step Selection for Fast Diffusion.
CoRR
Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang
2023 J jnl
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
CoRR
Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu
2023 J jnl
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning.
CoRR
Wujian Peng, Zejia Weng, Hengduo Li, Zuxuan Wu
2023 J jnl
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data.
CoRR
Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang
2023 J jnl
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System.
CoRR
Junke Wang, Dongdong Chen, Chong Luo, Xiyang Dai, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation.
IEEE Trans. Multim.
Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang
2023 A* conf
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
CVPR
Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2023 J jnl
DiffusionAD: Denoising Diffusion for Anomaly Detection.
CoRR
Hui Zhang, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang
2023 A conf
Downstream Task-agnostic Transferable Attacks on Language-Image Pre-training Models.
ICME
Yiqiang Lv, Jingjing Chen, Zhipeng Wei, Kai Chen, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Enhancing the Self-Universality for Transferable Targeted Attacks.
CVPR
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
FT-TDR: Frequency-Guided Transformer and Top-Down Refinement Network for Blind Face Inpainting.
IEEE Trans. Multim.
Junke Wang, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.
CoRR
Tianyi Lu, Xing Zhang, Jiaxi Gu, Hang Xu, Renjing Pei, Songcen Xu, Zuxuan Wu
2023 A* conf
GCMA: Generative Cross-Modal Transferable Adversarial Attacks from Images to Videos.
ACM Multimedia
Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Implicit Temporal Modeling with Learnable Alignment for Video Recognition.
ICCV
Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang
2023 J jnl
Implicit Temporal Modeling with Learnable Alignment for Video Recognition.
CoRR
Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang
2023 A* conf
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.
NeurIPS
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2023 J jnl
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.
CoRR
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2023 A* conf
Look Before You Match: Instance Understanding Matters in Video Object Segmentation.
CVPR
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Chuanxin Tang, Xiyang Dai, Yucheng Zhao, Yujia Xie, Lu Yuan, Yu-Gang Jiang
2023 A* conf
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning.
CVPR
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang
2023 J jnl
MotionEditor: Editing Video Motion via Content-Aware Diffusion.
CoRR
Shuyuan Tu, Qi Dai, Zhi-Qi Cheng, Han Hu, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation.
NeurIPS
Haoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Multimodal Pre-training Method for Vision-language Understanding and Generation.
Int. J. Softw. Informatics
Tianyi Liu, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang
2023 J jnl
OmniTracker: Unifying Object Tracking by Tracking-with-Detection.
CoRR
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Xiyang Dai, Lu Yuan, Yu-Gang Jiang
2023 A* conf
On the Importance of Spatial Relations for Few-shot Action Recognition.
ACM Multimedia
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
On the Importance of Spatial Relations for Few-shot Action Recognition.
CoRR
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization.
ICML
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
PromptFusion: Decoupling Stability and Plasticity for Continual Learning.
CoRR
Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang
2023 J jnl
Prompting Large Language Models to Reformulate Queries for Moment Localization.
CoRR
Wenfeng Yan, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Prototypical Residual Networks for Anomaly Detection and Localization.
CVPR
Hui Zhang, Zuxuan Wu, Zheng Wang, Zhineng Chen, Yu-Gang Jiang
2023 A* conf
ResFormer: Scaling ViTs with Multi-Resolution Training.
CVPR
Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang
2023 A* conf
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning.
AAAI
Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu
2023 J jnl
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.
CoRR
Jiaxi Gu, Shicong Wang, Haoyu Zhao, Tianyi Lu, Xing Zhang, Zuxuan Wu, Songcen Xu, Wei Zhang, Yu-Gang Jiang, Hang Xu
2023 J jnl
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
CoRR
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
SVFormer: Semi-supervised Video Transformer for Action Recognition.
CVPR
Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Self-Supervised Learning for Semi-Supervised Temporal Language Grounding.
IEEE Trans. Multim.
Fan Luo, Shaoxiang Chen, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
SimDA: Simple Diffusion Adapter for Efficient Video Generation.
CoRR
Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding.
CoRR
Wujian Peng, Sicheng Xie, Zuyao You, Shiyi Lan, Zuxuan Wu
2023 J jnl
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning.
CoRR
Junke Wang, Lingchen Meng, Zejia Weng, Bo He, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Towards Scalable Neural Representation for Diverse Videos.
CVPR
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
Towards Scalable Neural Representation for Diverse Videos.
CoRR
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
Towards Transferable Adversarial Attacks on Image and Video Transformers.
IEEE Trans. Image Process.
Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang, Larry S. Davis
2023 J jnl
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization.
CoRR
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models.
CoRR
Zhen Xing, Qi Dai, Zihao Zhang, Hui Zhang, Han Hu, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model.
CoRR
Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Zuxuan Wu, Hang Xu, Yu-Gang Jiang
2023 J jnl
Vision Transformers Are Good Mask Auto-Labelers.
CoRR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2023 A* conf
Vision Transformers are Good Mask Auto-Labelers.
CVPR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2022 J jnl
A Dynamic Frame Selection Framework for Fast Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Zuxuan Wu, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2022 A* conf
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CVPR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2022 A* conf
Attacking Video Recognition Models with Bullet-Screen Comments.
AAAI
Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 A* conf
BEVT: BERT Pretraining of Video Transformers.
CVPR
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan
2022 A* conf
Boosting the Transferability of Video Adversarial Examples via Temporal Translation.
AAAI
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 A* conf
Cross-Modal Transferable Adversarial Attacks from Images to Videos.
CVPR
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
Deeper Insights into ViTs Robustness towards Common Corruptions.
CoRR
Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu-Gang Jiang
2022 J jnl
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
CoRR
Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2022 — conf
Efficient Video Transformers with Spatial-Temporal Token Selection.
ECCV (35)
Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection.
CoRR
Junke Wang, Zhenxin Li, Chao Zhang, Jingjing Chen, Zuxuan Wu, Larry S. Davis, Yu-Gang Jiang
2022 J jnl
Incorporating Locality of Images to Generate Targeted Transferable Adversarial Examples.
CoRR
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
Look Before You Match: Instance Understanding Matters in Video Object Segmentation.
CoRR
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Chuanxin Tang, Xiyang Dai, Yucheng Zhao, Yujia Xie, Lu Yuan, Yu-Gang Jiang
2022 B conf
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection.
ICMR
Junke Wang, Zuxuan Wu, Wenhao Ouyang, Xintong Han, Jingjing Chen, Yu-Gang Jiang, Ser-Nam Lim
2022 A conf
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers.
WACV
Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
2022 J jnl
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning.
CoRR
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang
2022 J jnl
Multi-Prompt Alignment for Multi-source Unsupervised Domain Adaptation.
CoRR
Haoran Chen, Zuxuan Wu, Yu-Gang Jiang
2022 A* conf
ObjectFormer for Image Manipulation Detection and Localization.
CVPR
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022 J jnl
ObjectFormer for Image Manipulation Detection and Localization.
CoRR
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022 A* conf
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks.
NeurIPS
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
2022 J jnl
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks.
CoRR
Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan
2022 J jnl
Prototypical Residual Networks for Anomaly Detection and Localization.
CoRR
Hui Zhang, Zuxuan Wu, Zheng Wang, Zhineng Chen, Yu-Gang Jiang
2022 J jnl
ResFormer: Scaling ViTs with Multi-Resolution Training.
CoRR
Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang
2022 J jnl
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning.
CoRR
Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu
2022 A* conf
Rethinking Pseudo Labels for Semi-supervised Object Detection.
AAAI
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2022 A* conf
Robust Optimization as Data Augmentation for Large-scale Graphs.
CVPR
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein
2022 J jnl
SAM: Modeling Scene, Object and Action With Semantics Attention Modules for Video Recognition.
IEEE Trans. Multim.
Xing Zhang, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
SVFormer: Semi-supervised Video Transformer for Action Recognition.
CoRR
Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors.
CoRR
Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2022 — conf
Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors.
ECCV (1)
Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2022 — conf
Semi-supervised Vision Transformers.
ECCV (30)
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
2022 J jnl
Spatial-Temporal Graphs for Cross-Modal Text2Video Retrieval.
IEEE Trans. Multim.
Xue Song, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2022 A* conf
Towards Transferable Adversarial Attacks on Vision Transformers.
AAAI
Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang
2022 J jnl
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling.
CoRR
Rui Wang, Zuxuan Wu, Dongdong Chen, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Luowei Zhou, Lu Yuan, Yu-Gang Jiang
2021 A* conf
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
CVPR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2021 J jnl
A Coarse-to-Fine Framework for Resource Efficient Video Recognition.
Int. J. Comput. Vis.
Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2021 A* conf
A Multimodal Framework for Video Ads Understanding.
ACM Multimedia
Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
A Multimodal Framework for Video Ads Understanding.
CoRR
Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CoRR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2021 J jnl
Attacking Video Recognition Models with Bullet-Screen Comments.
CoRR
Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
BEVT: BERT Pretraining of Video Transformers.
CoRR
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan
2021 J jnl
Boosting the Transferability of Video Adversarial Examples via Temporal Translation.
CoRR
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
Cross-Modal Transferable Adversarial Attacks from Images to Videos.
CoRR
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation.
CoRR
Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang
2021 A conf
Deep Video Inpainting Detection.
BMVC
Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 J jnl
Deep Video Inpainting Detection.
CoRR
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 A* conf
Efficient Object Embedding for Spliced Image Retrieval.
CVPR
Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim
2021 J jnl
Efficient Video Transformers with Spatial-Temporal Token Selection.
CoRR
Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
2021 A* conf
Encoding Robustness to Image Style via Adversarial Feature Perturbations.
NeurIPS
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein
2021 A* conf
Exploring Visual Engagement Signals for Representation Learning.
ICCV
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
Exploring Visual Engagement Signals for Representation Learning.
CoRR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting.
CoRR
Junke Wang, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang
2021 A conf
GTA: Global Temporal Attention for Video Action Understanding.
BMVC
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2021 J jnl
HMS: Hierarchical Modality Selection for Efficient Video Recognition.
CoRR
Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang
2021 A* conf
Intentonomy: A Dataset and Study Towards Human Intent Understanding.
CVPR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection.
CoRR
Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang
2021 J jnl
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers.
CoRR
Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
2021 J jnl
Rethinking Nearest Neighbors for Visual Classification.
CoRR
Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
Rethinking Pseudo Labels for Semi-Supervised Object Detection.
CoRR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2021 J jnl
Self-supervised Learning for Semi-supervised Temporal Language Grounding.
CoRR
Fan Luo, Shaoxiang Chen, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
Semi-Supervised Vision Transformers.
CoRR
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
2021 J jnl
THAT: Two Head Adversarial Training for Improving Robustness at Scale.
CoRR
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim
2021 J jnl
Towards Transferable Adversarial Attacks on Vision Transformers.
CoRR
Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang
2021 J jnl
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation.
CoRR
Tianyi Liu, Zuxuan Wu, Wenhan Xiong, Jingjing Chen, Yu-Gang Jiang
2021 A* conf
VideoLT: Large-scale Long-tailed Video Recognition.
ICCV
Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis
2021 J jnl
VideoLT: Large-scale Long-tailed Video Recognition.
CoRR
Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis
2020 J jnl
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
CoRR
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
2020 J jnl
FLAG: Adversarial Data Augmentation for Graph Neural Networks.
CoRR
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein
2020 J jnl
GTA: Global Temporal Attention for Video Action Understanding.
CoRR
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2020 — —
Image and video Understanding with constrained Resources.
Zuxuan Wu
2020 J jnl
Intentonomy: a Dataset and Study towards Human Intent Understanding.
CoRR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2020 A* conf
Learning From Noisy Anchors for One-Stage Object Detection.
CVPR
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2020 A conf
M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation.
BMVC
Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis
2020 — conf
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors.
ECCV (4)
Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein
2020 J jnl
Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization.
CoRR
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein
2020 A* conf
Recognizing Instagram Filtered Images with Feature De-Stylization.
AAAI
Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis
2019 A* conf
ACE: Adapting to Changing Environments for Semantic Segmentation.
ICCV
Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis
2019 J jnl
ACE: Adapting to Changing Environments for Semantic Segmentation.
CoRR
Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
2019 A* conf
AdaFrame: Adaptive Frame Selection for Fast Video Recognition.
CVPR
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis
2019 J jnl
An Analysis of Pre-Training on Object Detection.
CoRR
Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
2019 J jnl
Compatible and Diverse Fashion Image Inpainting.
CoRR
Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis
2019 A* conf
FiNet: Compatible and Diverse Fashion Image Inpainting.
ICCV
Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis
2019 J jnl
Learning from Noisy Anchors for One-stage Object Detection.
CoRR
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2019 A* conf
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition.
NeurIPS
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2019 J jnl
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition.
CoRR
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
2019 J jnl
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning.
CoRR
Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis
2019 J jnl
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors.
CoRR
Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein
2019 J jnl
Recognizing Instagram Filtered Images with Feature De-stylization.
CoRR
Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis
2019 — conf
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation.
ICLR (Poster)
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019 J jnl
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation.
CoRR
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019 A* conf
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation.
CVPR
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
2019 J jnl
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation.
CoRR
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
2019 J jnl
Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Rui-Wei Zhao, Qi Zhang, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang
2019 A conf
Weakly-Supervised Spatial Context Networks.
WACV
Zuxuan Wu, Larry Davis, Leonid Sigal
2018 J jnl
AdaFrame: Adaptive Frame Selection for Fast Video Recognition.
CoRR
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis
2018 A* conf
BlockDrop: Dynamic Inference Paths in Residual Networks.
CVPR
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris
2018 — conf
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation.
ECCV (5)
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis
2018 J jnl
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation.
CoRR
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis
2018 — ch.
Deep learning for video classification and captioning.
Frontiers of Multimedia Research
Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang
2018 J jnl
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
2018 J jnl
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification.
IEEE Trans. Multim.
Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang
2018 A* conf
VITON: An Image-Based Virtual Try-On Network.
CVPR
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis
2017 J jnl
Aggregating Frame-level Features for Large-Scale Video Classification.
CoRR
Shaoxiang Chen, Xi Wang, Yongyi Tang, Xinpeng Chen, Zuxuan Wu, Yu-Gang Jiang
2017 A* conf
Automatic Spatially-Aware Fashion Concept Discovery.
ICCV
Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis
2017 J jnl
Automatic Spatially-aware Fashion Concept Discovery.
CoRR
Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis
2017 J jnl
BlockDrop: Dynamic Inference Paths in Residual Networks.
CoRR
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris
2017 A* conf
LSVC2017: Large-Scale Video Classification Challenge.
ACM Multimedia
Zuxuan Wu, Yu-Gang Jiang, Larry Davis, Shih-Fu Chang
2017 A* conf
Learning Fashion Compatibility with Bidirectional LSTMs.
ACM Multimedia
Xintong Han, Zuxuan Wu, Yu-Gang Jiang, Larry S. Davis
2017 J jnl
Learning Fashion Compatibility with Bidirectional LSTMs.
CoRR
Xintong Han, Zuxuan Wu, Yu-Gang Jiang, Larry S. Davis
2017 A* conf
Learning Semantic Feature Map for Visual Content Recognition.
ACM Multimedia
Rui-Wei Zhao, Zuxuan Wu, Jianguo Li, Yu-Gang Jiang
2017 J jnl
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification.
CoRR
Yu-Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih-Fu Chang
2017 J jnl
VITON: An Image-based Virtual Try-on Network.
CoRR
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis
2017 J jnl
Weakly-Supervised Spatial Context Networks.
CoRR
Zuxuan Wu, Larry S. Davis, Leonid Sigal
2016 J jnl
Deep Learning for Video Classification and Captioning.
CoRR
Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang
2016 A* conf
Emotion in Context: Deep Semantic Feature Fusion for Video Emotion Recognition.
ACM Multimedia
Chen Chen, Zuxuan Wu, Yu-Gang Jiang
2016 A* conf
Exploiting Objects with LSTMs for Video Categorization.
ACM Multimedia
Yongqing Sun, Zuxuan Wu, Xi Wang, Hiroyuki Arai, Tetsuya Kinebuchi, Yu-Gang Jiang
2016 A* conf
Harnessing Object and Scene Semantics for Large-Scale Video Understanding.
CVPR
Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal
2016 A* conf
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification.
ACM Multimedia
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue
2015 B conf
Evaluating Two-Stream CNN for Video Classification.
ICMR
Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue
2015 J jnl
Evaluating Two-Stream CNN for Video Classification.
CoRR
Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue
2015 J jnl
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
CoRR
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
2015 — conf
Fudan at TRECVID 2015: Adaptive Feature Fusion for Multimedia Event Detection in Videos.
TRECVID
Zuxuan Wu, Hao Ye, Yu-Gang Jiang, Xiangyang Xue
2015 — conf
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
MediaEval
Qi Dai, Rui-Wei Zhao, Zuxuan Wu, Xi Wang, Zichen Gu, WenHai Wu, Yu-Gang Jiang
2015 J jnl
Fusing Multi-Stream Deep Networks for Video Classification.
CoRR
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang
2015 A* conf
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification.
ACM Multimedia
Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue
2015 J jnl
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification.
CoRR
Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue
2015 — conf
NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection.
TRECVID
Yongqing Sun, Zuxuan Wu, Xi Wang, Kyoko Sudo, Yukinobu Taniguchi, Tetsuya Kinebuchi, Yu-Gang Jiang
2014 — conf
Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation.
ICME Workshops
Jian Tu, Zuxuan Wu, Qi Dai, Yu-Gang Jiang, Xiangyang Xue
2014 A* conf
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification.
ACM Multimedia
Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue
2014 — conf
Fudan Team at TRECVID 2014: Multimedia Event Detection.
TRECVID
Zuxuan Wu, Rui-Wei Zhao
2014 — conf
Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks.
MediaEval
Qi Dai, Zuxuan Wu, Yu-Gang Jiang, Xiangyang Xue, Jinhui Tang