Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation. - Jian Tu; Zuxuan Wu; Qi Dai 001; Yu-Gang Jiang 001; Xiangyang Xue 001 (ICME Workshops, 2014)

Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks. - Qi Dai 001; Zuxuan Wu; Yu-Gang Jiang 001; Xiangyang Xue 001; Jinhui Tang 001 (MediaEval, 2014)

Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. - Zuxuan Wu; Yu-Gang Jiang 001; Jun Wang 006; Jian Pu; Xiangyang Xue 001 (ACM Multimedia, 2014)

Fudan Team at TRECVID 2014: Multimedia Event Detection. - Zuxuan Wu; Rui-Wei Zhao (TRECVID, 2014)

Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning. - Qi Dai 001; Rui-Wei Zhao; Zuxuan Wu; Xi Wang 008; Zichen Gu; Wenhai Wu; Yu-Gang Jiang 001 (MediaEval, 2015)

Evaluating Two-Stream CNN for Video Classification. - Hao Ye 005; Zuxuan Wu; Rui-Wei Zhao; Xi Wang 008; Yu-Gang Jiang 001; Xiangyang Xue 001 (ICMR, 2015)

Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. - Zuxuan Wu; Xi Wang 008; Yu-Gang Jiang 001; Hao Ye 005; Xiangyang Xue 001 (ACM Multimedia, 2015)

NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection. - Yongqing Sun; Zuxuan Wu; Xi Wang 008; Kyoko Sudo; Yukinobu Taniguchi; Tetsuya Kinebuchi; Yu-Gang Jiang 001 (TRECVID, 2015)

Fudan at TRECVID 2015: Adaptive Feature Fusion for Multimedia Event Detection in Videos. - Zuxuan Wu; Hao Ye 005; Yu-Gang Jiang 001; Xiangyang Xue 001 (TRECVID, 2015)

Fusing Multi-Stream Deep Networks for Video Classification. - Zuxuan Wu; Yu-Gang Jiang 001; Xi Wang 008; Hao Ye 005; Xiangyang Xue 001; Jun Wang 006 (CoRR, 2015)

Harnessing Object and Scene Semantics for Large-Scale Video Understanding. - Zuxuan Wu; Yanwei Fu 001; Yu-Gang Jiang 001; Leonid Sigal (CVPR, 2016)

Emotion in Context: Deep Semantic Feature Fusion for Video Emotion Recognition. - Chen Chen; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 2016)

Exploiting Objects with LSTMs for Video Categorization. - Yongqing Sun; Zuxuan Wu; Xi Wang 008; Hiroyuki Arai; Tetsuya Kinebuchi; Yu-Gang Jiang 001 (ACM Multimedia, 2016)

Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification. - Zuxuan Wu; Yu-Gang Jiang 001; Xi Wang 008; Hao Ye 005; Xiangyang Xue 001 (ACM Multimedia, 2016)

Deep Learning for Video Classification and Captioning. - Zuxuan Wu; Ting Yao; Yanwei Fu 001; Yu-Gang Jiang 001 (CoRR, 2016)

Automatic Spatially-Aware Fashion Concept Discovery. - Xintong Han; Zuxuan Wu; Phoenix X. Huang; Xiao Zhang; Menglong Zhu; Yuan Li; Yang Zhao; Larry S. Davis (ICCV, 2017)

Learning Fashion Compatibility with Bidirectional LSTMs. - Xintong Han; Zuxuan Wu; Yu-Gang Jiang 001; Larry S. Davis (ACM Multimedia, 2017)

LSVC2017: Large-Scale Video Classification Challenge. - Zuxuan Wu; Yu-Gang Jiang 001; Larry Davis 001; Shih-Fu Chang (ACM Multimedia, 2017)

Learning Semantic Feature Map for Visual Content Recognition. - Rui-Wei Zhao; Zuxuan Wu; Jianguo Li; Yu-Gang Jiang 001 (ACM Multimedia, 2017)

Aggregating Frame-level Features for Large-Scale Video Classification. - Shaoxiang Chen 001; Xi Wang 008; Yongyi Tang; Xinpeng Chen; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2017)

Deep learning for video classification and captioning. - Zuxuan Wu; Ting Yao; Yanwei Fu 001; Yu-Gang Jiang 001 (Frontiers of Multimedia Research, 2018)

VITON: An Image-Based Virtual Try-On Network. - Xintong Han; Zuxuan Wu; Zhe Wu 001; Ruichi Yu; Larry S. Davis (CVPR, 2018)

BlockDrop: Dynamic Inference Paths in Residual Networks. - Zuxuan Wu; Tushar Nagarajan; Abhishek Kumar 001; Steven Rennie; Larry S. Davis; Kristen Grauman; Rogério Schmidt Feris (CVPR, 2018)

DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation. - Zuxuan Wu; Xintong Han; Yen-Liang Lin; Mustafa Gökhan Uzunbas; Tom Goldstein; Ser-Nam Lim; Larry S. Davis (ECCV (5), 2018)

Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. - Yu-Gang Jiang 001; Zuxuan Wu; Jun Wang 006; Xiangyang Xue 001; Shih-Fu Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification. - Yu-Gang Jiang 001; Zuxuan Wu; Jinhui Tang 001; Zechao Li; Xiangyang Xue 001; Shih-Fu Chang (IEEE Trans. Multim., 2018)

The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. - Chih-Yao Ma; Zuxuan Wu; Ghassan AlRegib; Caiming Xiong; Zsolt Kira (CVPR, 2019)

AdaFrame: Adaptive Frame Selection for Fast Video Recognition. - Zuxuan Wu; Caiming Xiong; Chih-Yao Ma; Richard Socher; Larry S. Davis (CVPR, 2019)

FiNet: Compatible and Diverse Fashion Image Inpainting. - Xintong Han; Zuxuan Wu; Weilin Huang; Matthew R. Scott; Larry Davis 001 (ICCV, 2019)

ACE: Adapting to Changing Environments for Semantic Segmentation. - Zuxuan Wu; Xin Wang 066; Joseph Gonzalez 001; Tom Goldstein; Larry Davis 001 (ICCV, 2019)

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. - Chih-Yao Ma; Jiasen Lu; Zuxuan Wu; Ghassan AlRegib; Zsolt Kira; Richard Socher; Caiming Xiong (ICLR (Poster), 2019)

LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. - Zuxuan Wu; Caiming Xiong; Yu-Gang Jiang 001; Larry S. Davis (NeurIPS, 2019)

Weakly-Supervised Spatial Context Networks. - Zuxuan Wu; Larry Davis 001; Leonid Sigal (WACV, 2019)

Compatible and Diverse Fashion Image Inpainting. - Xintong Han; Zuxuan Wu; Weilin Huang; Matthew R. Scott; Larry S. Davis (CoRR, 2019)

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning. - Peng Zhou 009; Long Mai; Jianming Zhang 001; Ning Xu 007; Zuxuan Wu; Larry S. Davis (CoRR, 2019)

An Analysis of Pre-Training on Object Detection. - Hengduo Li; Bharat Singh; Mahyar Najibi; Zuxuan Wu; Larry S. Davis (CoRR, 2019)

Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning. - Rui-Wei Zhao; Qi Zhang 001; Zuxuan Wu; Jianguo Li; Yu-Gang Jiang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Recognizing Instagram Filtered Images with Feature De-Stylization. - Zhe Wu 001; Zuxuan Wu; Bharat Singh; Larry S. Davis (AAAI, 2020)

M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. - Peng Zhou 009; Long Mai; Jianming Zhang 001; Ning Xu 007; Zuxuan Wu; Larry Davis 001 (BMVC, 2020)

Learning From Noisy Anchors for One-Stage Object Detection. - Hengduo Li; Zuxuan Wu; Chen Zhu 001; Caiming Xiong; Richard Socher; Larry S. Davis (CVPR, 2020)

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. - Zuxuan Wu; Ser-Nam Lim; Larry S. Davis; Tom Goldstein (ECCV (4), 2020)

Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization. - Manli Shu; Zuxuan Wu; Micah Goldblum; Tom Goldstein (CoRR, 2020)

FLAG: Adversarial Data Augmentation for Graph Neural Networks. - Kezhi Kong; Guohao Li 001; Mucong Ding; Zuxuan Wu; Chen Zhu 001; Bernard Ghanem; Gavin Taylor; Tom Goldstein (CoRR, 2020)

Image and video Understanding with constrained Resources. - Zuxuan Wu (2020)

Deep Video Inpainting Detection. - Peng Zhou 009; Ning Yu 006; Zuxuan Wu; Larry Davis 001; Abhinav Shrivastava; Ser-Nam Lim (BMVC, 2021)

GTA: Global Temporal Attention for Video Action Understanding. - Bo He 004; Xitong Yang; Zuxuan Wu; Hao Chen 066; Ser-Nam Lim; Abhinav Shrivastava (BMVC, 2021)

Efficient Object Embedding for Spliced Image Retrieval. - Bor-Chun Chen; Zuxuan Wu; Larry S. Davis; Ser-Nam Lim (CVPR, 2021)

Intentonomy: A Dataset and Study Towards Human Intent Understanding. - Menglin Jia; Zuxuan Wu; Austin Reiter; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (CVPR, 2021)

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (CVPR, 2021)

Exploring Visual Engagement Signals for Representation Learning. - Menglin Jia; Zuxuan Wu; Austin Reiter; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (ICCV, 2021)

VideoLT: Large-scale Long-tailed Video Recognition. - Xing Zhang 013; Zuxuan Wu; Zejia Weng; Huazhu Fu; Jingjing Chen 001; Yu-Gang Jiang 001; Larry Davis 001 (ICCV, 2021)

A Multimodal Framework for Video Ads Understanding. - Zejia Weng; Lingchen Meng; Rui Wang 095; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 2021)

Encoding Robustness to Image Style via Adversarial Feature Perturbations. - Manli Shu; Zuxuan Wu; Micah Goldblum; Tom Goldstein (NeurIPS, 2021)

THAT: Two Head Adversarial Training for Improving Robustness at Scale. - Zuxuan Wu; Tom Goldstein; Larry S. Davis; Ser-Nam Lim (CoRR, 2021)

HMS: Hierarchical Modality Selection for Efficient Video Recognition. - Zejia Weng; Zuxuan Wu; Hengduo Li; Yu-Gang Jiang 001 (CoRR, 2021)

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. - Junke Wang; Zuxuan Wu; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2021)

Efficient Video Transformers with Spatial-Temporal Token Selection. - Junke Wang; Xitong Yang; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2021)

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. - Tianyi Liu; Zuxuan Wu; Wenhan Xiong; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2021)

Rethinking Nearest Neighbors for Visual Classification. - Menglin Jia; Bor-Chun Chen; Zuxuan Wu; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (CoRR, 2021)

A Coarse-to-Fine Framework for Resource Efficient Video Recognition. - Zuxuan Wu; Hengduo Li; Yingbin Zheng; Caiming Xiong; Yu-Gang Jiang 001; Larry S. Davis (Int. J. Comput. Vis., 2021)

Attacking Video Recognition Models with Bullet-Screen Comments. - Kai Chen 027; Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (AAAI, 2022)

Rethinking Pseudo Labels for Semi-supervised Object Detection. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (AAAI, 2022)

Towards Transferable Adversarial Attacks on Vision Transformers. - Zhipeng Wei; Jingjing Chen 001; Micah Goldblum; Zuxuan Wu; Tom Goldstein; Yu-Gang Jiang 001 (AAAI, 2022)

Boosting the Transferability of Video Adversarial Examples via Temporal Translation. - Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (AAAI, 2022)

Robust Optimization as Data Augmentation for Large-scale Graphs. - Kezhi Kong; Guohao Li 001; Mucong Ding; Zuxuan Wu; Chen Zhu 001; Bernard Ghanem; Gavin Taylor; Tom Goldstein (CVPR, 2022)

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. - Lingchen Meng; Hengduo Li; Bor-Chun Chen; Shiyi Lan; Zuxuan Wu; Yu-Gang Jiang 001; Ser-Nam Lim (CVPR, 2022)

BEVT: BERT Pretraining of Video Transformers. - Rui Wang 095; Dongdong Chen 001; Zuxuan Wu; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Yu-Gang Jiang 001; Luowei Zhou; Lu Yuan (CVPR, 2022)

ObjectFormer for Image Manipulation Detection and Localization. - Junke Wang; Zuxuan Wu; Jingjing Chen 001; Xintong Han; Abhinav Shrivastava; Ser-Nam Lim; Yu-Gang Jiang 001 (CVPR, 2022)

Cross-Modal Transferable Adversarial Attacks from Images to Videos. - Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2022)

Efficient Video Transformers with Spatial-Temporal Token Selection. - Junke Wang; Xitong Yang; Hengduo Li; Li Liu; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (35), 2022)

Semi-supervised Vision Transformers. - Zejia Weng; Xitong Yang; Ang Li 001; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (30), 2022)

Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors. - Zhen Xing; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (1), 2022)

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. - Junke Wang; Zuxuan Wu; Wenhao Ouyang; Xintong Han; Jingjing Chen 001; Yu-Gang Jiang 001; Ser-Nam Lim (ICMR, 2022)

OmniVL: One Foundation Model for Image-Language and Video-Language Tasks. - Junke Wang; Dongdong Chen 001; Zuxuan Wu; Chong Luo; Luowei Zhou; Yucheng Zhao; Yujia Xie; Ce Liu 001; Yu-Gang Jiang 001; Lu Yuan (NeurIPS, 2022)

M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. - Tianrui Guan; Jun Wang 090; Shiyi Lan; Rohan Chandra; Zuxuan Wu; Larry Davis 001; Dinesh Manocha (WACV, 2022)

Deeper Insights into ViTs Robustness towards Common Corruptions. - Rui Tian; Zuxuan Wu; Qi Dai 001; Han Hu 001; Yu-Gang Jiang 001 (CoRR, 2022)

Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling. - Rui Wang 095; Zuxuan Wu; Dongdong Chen 001; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Luowei Zhou; Lu Yuan; Yu-Gang Jiang 001 (CoRR, 2022)

Incorporating Locality of Images to Generate Targeted Transferable Adversarial Examples. - Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2022)

Multi-Prompt Alignment for Multi-source Unsupervised Domain Adaptation. - Haoran Chen; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2022)

A Dynamic Frame Selection Framework for Fast Video Recognition. - Zuxuan Wu; Hengduo Li; Caiming Xiong; Yu-Gang Jiang 001; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Spatial-Temporal Graphs for Cross-Modal Text2Video Retrieval. - Xue Song; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2022)

SAM: Modeling Scene, Object and Action With Semantics Attention Modules for Video Recognition. - Xing Zhang 013; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2022)

Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. - Bingchen Huang; Zhineng Chen; Peng Zhou 009; Jiayin Chen; Zuxuan Wu (AAAI, 2023)

Towards Scalable Neural Representation for Diverse Videos. - Bo He 004; Xitong Yang; Hanyu Wang 002; Zuxuan Wu; Hao Chen 066; Shuaiyi Huang; Yixuan Ren; Ser-Nam Lim; Abhinav Shrivastava (CVPR, 2023)

Prototypical Residual Networks for Anomaly Detection and Localization. - Hui Zhang 090; Zuxuan Wu; Zheng Wang 059; Zhineng Chen; Yu-Gang Jiang 001 (CVPR, 2023)

Vision Transformers are Good Mask Auto-Labelers. - Shiyi Lan; Xitong Yang; Zhiding Yu; Zuxuan Wu; José M. Álvarez 004; Anima Anandkumar (CVPR, 2023)

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. - Lingchen Meng; Xiyang Dai; Yinpeng Chen; Pengchuan Zhang; Dongdong Chen 001; Mengchen Liu; Jianfeng Wang; Zuxuan Wu; Lu Yuan; Yu-Gang Jiang 001 (CVPR, 2023)

ResFormer: Scaling ViTs with Multi-Resolution Training. - Rui Tian; Zuxuan Wu; Qi Dai 001; Han Hu 001; Yu Qiao 001; Yu-Gang Jiang 001 (CVPR, 2023)

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning. - Rui Wang 095; Dongdong Chen 001; Zuxuan Wu; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Lu Yuan; Yu-Gang Jiang 001 (CVPR, 2023)

Look Before You Match: Instance Understanding Matters in Video Object Segmentation. - Junke Wang; Dongdong Chen 001; Zuxuan Wu; Chong Luo; Chuanxin Tang; Xiyang Dai; Yucheng Zhao; Yujia Xie; Lu Yuan; Yu-Gang Jiang 001 (CVPR, 2023)

Enhancing the Self-Universality for Transferable Targeted Attacks. - Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2023)

SVFormer: Semi-supervised Video Transformer for Action Recognition. - Zhen Xing; Qi Dai 001; Han Hu 001; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2023)

Implicit Temporal Modeling with Learnable Alignment for Video Recognition. - Shuyuan Tu; Qi Dai 001; Zuxuan Wu; Zhi-Qi Cheng; Han Hu 001; Yu-Gang Jiang 001 (ICCV, 2023)

Downstream Task-agnostic Transferable Attacks on Language-Image Pre-training Models. - Yiqiang Lv; Jingjing Chen 001; Zhipeng Wei; Kai Chen 027; Zuxuan Wu; Yu-Gang Jiang 001 (ICME, 2023)

Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. - Zejia Weng; Xitong Yang; Ang Li 001; Zuxuan Wu; Yu-Gang Jiang 001 (ICML, 2023)

GCMA: Generative Cross-Modal Transferable Adversarial Attacks from Images to Videos. - Kai Chen 027; Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 2023)

On the Importance of Spatial Relations for Few-shot Action Recognition. - Yilun Zhang; Yuqian Fu; Xingjun Ma; Lizhe Qi; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 2023)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation. - Haoran Chen; Xintong Han; Zuxuan Wu; Yu-Gang Jiang 001 (NeurIPS, 2023)

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection. - Lingchen Meng; Xiyang Dai; Jianwei Yang; Dongdong Chen 001; Yinpeng Chen; Mengchen Liu; Yi-Ling Chen; Zuxuan Wu; Lu Yuan; Yu-Gang Jiang 001 (NeurIPS, 2023)

Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. - Zejia Weng; Xitong Yang; Ang Li 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

DiffusionAD: Denoising Diffusion for Anomaly Detection. - Hui Zhang 090; Zheng Wang 059; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

OmniTracker: Unifying Object Tracking by Tracking-with-Detection. - Junke Wang; Dongdong Chen 001; Zuxuan Wu; Chong Luo; Xiyang Dai; Lu Yuan; Yu-Gang Jiang 001 (CoRR, 2023)

ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System. - Junke Wang; Dongdong Chen 001; Chong Luo; Xiyang Dai; Lu Yuan; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning. - Wujian Peng; Zejia Weng; Hengduo Li; Zuxuan Wu (CoRR, 2023)

Prompting Large Language Models to Reformulate Queries for Moment Localization. - Wenfeng Yan; Shaoxiang Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation. - Jiaxi Gu; Shicong Wang; Haoyu Zhao; Tianyi Lu; Xing Zhang 013; Zuxuan Wu; Songcen Xu; Wei Zhang 196; Yu-Gang Jiang 001; Hang Xu 004 (CoRR, 2023)

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models. - Tianyi Lu; Xing Zhang 013; Jiaxi Gu; Hang Xu 004; Renjing Pei; Songcen Xu; Zuxuan Wu (CoRR, 2023)

To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning. - Junke Wang; Lingchen Meng; Zejia Weng; Bo He 004; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

AdaDiff: Adaptive Step Selection for Fast Diffusion. - Hui Zhang 090; Zuxuan Wu; Zhen Xing; Jie Shao; Yu-Gang Jiang 001 (CoRR, 2023)

VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model. - Haoyu Zhao; Tianyi Lu; Jiaxi Gu; Xing Zhang 013; Zuxuan Wu; Hang Xu 004; Yu-Gang Jiang 001 (CoRR, 2023)

VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models. - Zhen Xing; Qi Dai 001; Zihao Zhang; Hui Zhang 090; Han Hu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

Multimodal Pre-training Method for Vision-language Understanding and Generation. - Tianyi Liu; Zuxuan Wu; Jingjing Chen 001; Yu-Gang Jiang 001 (Int. J. Softw. Informatics, 2023)

Towards Transferable Adversarial Attacks on Image and Video Transformers. - Zhipeng Wei; Jingjing Chen 001; Micah Goldblum; Zuxuan Wu; Tom Goldstein; Yu-Gang Jiang 001; Larry S. Davis (IEEE Trans. Image Process., 2023)

Self-Supervised Learning for Semi-Supervised Temporal Language Grounding. - Fan Luo; Shaoxiang Chen 001; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

FT-TDR: Frequency-Guided Transformer and Top-Down Refinement Network for Blind Face Inpainting. - Junke Wang; Shaoxiang Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation. - Rui Wang 095; Zuxuan Wu; Zejia Weng; Jingjing Chen 001; Guo-Jun Qi; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. - Zhenxin Li; Shiyi Lan; José M. Álvarez 004; Zuxuan Wu (CVPR, 2024)

Learning to Rank Patches for Unbiased Image Redundancy Reduction. - Yang Luo; Zhineng Chen; Peng Zhou 009; Zuxuan Wu; Xieping Gao; Yu-Gang Jiang 001 (CVPR, 2024)

Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding. - Wujian Peng; Sicheng Xie; Zuyao You; Shiyi Lan; Zuxuan Wu (CVPR, 2024)

MotionEditor: Editing Video Motion via Content-Aware Diffusion. - Shuyuan Tu; Qi Dai 001; Zhi-Qi Cheng; Han Hu 001; Xintong Han; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2024)

OmniViD: A Generative Framework for Universal Video Understanding. - Junke Wang; Dongdong Chen 001; Chong Luo; Bo He 004; Lu Yuan; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2024)

SimDA: Simple Diffusion Adapter for Efficient Video Generation. - Zhen Xing; Qi Dai 001; Han Hu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2024)

PromptFusion: Decoupling Stability and Plasticity for Continual Learning. - Haoran Chen; Zuxuan Wu; Xintong Han; Menglin Jia; Yu-Gang Jiang 001 (ECCV (87), 2024)

SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation. - Lingchen Meng; Shiyi Lan; Hengduo Li; José M. Álvarez 004; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (38), 2024)

DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation. - Haibo Yang 002; Yang Chen 048; Yingwei Pan; Ting Yao; Zhineng Chen; Zuxuan Wu; Yu-Gang Jiang 001; Tao Mei 001 (ECCV (59), 2024)

MagDiff: Multi-alignment Diffusion for High-Fidelity Video Generation and Editing. - Haoyu Zhao; Tianyi Lu; Jiaxi Gu; Xing Zhang 013; Qingping Zheng; Zuxuan Wu; Hang Xu 004; Yu-Gang Jiang 001 (ECCV (18), 2024)

Zero-shot High-fidelity and Pose-controllable Character Animation. - Bingwen Zhu; Fanyi Wang; Tianyi Lu; Peng Liu; Jingwen Su; Jinxiu Liu; Yanhao Zhang; Zuxuan Wu; Guo-Jun Qi; Yu-Gang Jiang 001 (IJCAI, 2024)

ModelLock: Locking Your Model With a Spell. - Yifeng Gao; Yuhua Sun; Xingjun Ma; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 2024)

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models. - Tianyi Lu; Xing Zhang 013; Jiaxi Gu; Renjing Pei; Songcen Xu; Xingjun Ma; Hang Xu 004; Zuxuan Wu (ACM Multimedia, 2024)

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs. - Lingchen Meng; Jianwei Yang; Rui Tian; Xiyang Dai; Zuxuan Wu; Jianfeng Gao 001; Yu-Gang Jiang 001 (NeurIPS, 2024)

OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation. - Junke Wang; Yi Jiang; Zehuan Yuan; Bingyue Peng; Zuxuan Wu; Yu-Gang Jiang 001 (NeurIPS, 2024)

GenRec: Unifying Video Generation and Recognition with Diffusion Models. - Zejia Weng; Xitong Yang; Zhen Xing; Zuxuan Wu; Yu-Gang Jiang 001 (NeurIPS, 2024)

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. - Miaosen Zhang; Yixuan Wei; Zhen Xing; Yifei Ma; Zuxuan Wu; Ji Li 006; Zheng Zhang 022; Qi Dai 001; Chong Luo; Xin Geng 001; Baining Guo (NeurIPS, 2024)

Secrets of RLHF in Large Language Models Part II: Reward Modeling. - Binghai Wang; Rui Zheng; Lu Chen; Yan Liu 002; Shihan Dou; Caishuang Huang; Wei Shen; Senjie Jin; Enyu Zhou; Chenyu Shi; Songyang Gao; Nuo Xu; et al. (CoRR, 2024)

MouSi: Poly-Visual-Expert Vision-Language Models. - Xiaoran Fan; Tao Ji; Changhao Jiang; Shuo Li; Senjie Jin; Sirui Song; Junke Wang; Boyang Hong; Lu Chen; Guodong Zheng; Ming Zhang 030; Caishuang Huang; et al. (CoRR, 2024)

FDGaussian: Fast Gaussian Splatting from Single Image via Geometric-aware Diffusion Model. - Qijun Feng; Zhen Xing; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

PoseAnimate: Zero-shot high fidelity pose controllable character animation. - Bingwen Zhu; Fanyi Wang; Tianyi Lu; Peng Liu; Jingwen Su; Jinxiu Liu; Yanhao Zhang; Zuxuan Wu; Yu-Gang Jiang 001; Guo-Jun Qi (CoRR, 2024)

Adaptive Rentention & Correction for Continual Learning. - Haoran Chen; Micah Goldblum; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion. - Shuyuan Tu; Qi Dai 001; Zihao Zhang; Sicheng Xie; Zhi-Qi Cheng; Chong Luo; Xintong Han; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Dingwen Yang; Chenyang Liao; Xin Guo; Wei He 024; Songyang Gao; Lu Chen; et al. (CoRR, 2024)

AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction. - Zhen Xing; Qi Dai 001; Zejia Weng; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation. - Zhenxin Li; Kailin Li 004; Shihao Wang; Shiyi Lan; Zhiding Yu; Yishen Ji; Zhiqi Li; Ziyue Zhu; Jan Kautz; Zuxuan Wu; Yu-Gang Jiang 001; José M. Álvarez 004 (CoRR, 2024)

AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding. - Xing Zhang 013; Jiaxi Gu; Haoyu Zhao; Shicong Wang; Hang Xu 004; Renjing Pei; Songcen Xu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results. - Jiaqi Wang 003; Yuhang Zang; Pan Zhang 001; Tao Chu; Yuhang Cao; Zeyi Sun 002; Ziyu Liu; Xiaoyi Dong; Tong Wu; Dahua Lin; Zeming Chen 002; Zhi Wang; et al. (CoRR, 2024)

Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers. - Weijie Zheng; Xingjun Ma; Hanxun Huang; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders. - Zhengfu He; Wentao Shu; Xuyang Ge; Lingjie Chen; Junxuan Wang; Yunhua Zhou; Frances Liu; Qipeng Guo; Xuanjing Huang 001; Zuxuan Wu; Yu-Gang Jiang 001; Xipeng Qiu (CoRR, 2024)

REDUCIO! Generating 1024⨉1024 Video within 16 Seconds using Extremely Compressed Motion Latents. - Rui Tian; Qi Dai 001; Jianmin Bao; Kai Qiu; Yifan Yang 005; Chong Luo; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. - Zhiheng Xi; Dingwen Yang; Jixuan Huang; Jiafu Tang; Guanyu Li; Yiwen Ding; Wei He 024; Boyang Hong; Shihan Dou; Wenyu Zhan; Xiao Wang 001; Rui Zheng; et al. (CoRR, 2024)

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection. - Zhihao Sun; Haoran Jiang; Haoran Chen; Yixin Cao 002; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning. - Wujian Peng; Lingchen Meng; Yitong Chen; Yiweng Xie; Yang Liu; Tao Gui; Hang Xu 004; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation. - Hui Zhang 090; Dexiang Hong; Tingwei Gao; Yitong Wang; Jie Shao; Xinglong Wu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks. - Shiduo Zhang; Zhe Xu; Peiju Liu; Xiaopeng Yu; Yuan Li; Qinghui Gao; Zhaoye Fei; Zhangyue Yin; Zuxuan Wu; Yu-Gang Jiang 001; Xipeng Qiu (CoRR, 2024)

Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data. - Zuxuan Wu; Zejia Weng; Wujian Peng; Xitong Yang; Ang Li 001; Larry S. Davis; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition. - Zejia Weng; Zuxuan Wu; Hengduo Li; Jingjing Chen 001; Yu-Gang Jiang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Adaptive Cross-Modal Transferable Adversarial Attacks From Images to Videos. - Zhipeng Wei; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection. - Yitong Chen; Wenhao Yao; Lingchen Meng; Sihong Wu; Zuxuan Wu; Yu-Gang Jiang 001 (AAAI, 2025)

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients. - Jiaqi Leng; Yakun Ju; Yuanxu Duan; Jiangnan Zhang; Qingxuan Lv; Zuxuan Wu; Hao Fan 004 (AAAI, 2025)

FOCUS: Towards Universal Foreground Segmentation. - Zuyao You; Lingyu Kong; Lingchen Meng; Zuxuan Wu (AAAI, 2025)

AdaDiff: Adaptive Step Selection for Fast Diffusion Models. - Hui Zhang 090; Zuxuan Wu; Zhen Xing; Jie Shao; Yu-Gang Jiang 001 (AAAI, 2025)

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Xin Guo; Dingwen Yang; Chenyang Liao; Wei He 024; Songyang Gao; Lu Chen; et al. (ACL (1), 2025)

StableAnimator: High-Quality Identity-Preserving Human Image Animation. - Shuyuan Tu; Zhen Xing; Xintong Han; Zhi-Qi Cheng; Qi Dai 001; Chong Luo; Zuxuan Wu (CVPR, 2025)

EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation. - Zihao Zhang; Haoran Chen; Haoyu Zhao; Guansong Lu; Yanwei Fu 001; Hang Xu 004; Zuxuan Wu (CVPR, 2025)

BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers. - Hui Zhang 090; Tingwei Gao; Jie Shao; Zuxuan Wu (CVPR, 2025)

Advancing Dark Action Recognition via Modality Fusion and Dark-to-Light Diffusion Model. - Yuxuan Wang; Zhen Xing; Zuxuan Wu (ICASSP, 2025)

Adaptive Retention & Correction: Test-Time Training for Continual Learning. - Haoran Chen; Micah Goldblum; Zuxuan Wu; Yu-Gang Jiang 001 (ICLR, 2025)

BMB: Balanced Memory Bank for Long-Tailed Semi-Supervised Learning. - Wujian Peng; Zejia Weng; Hengduo Li; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2025)

The Role of ViT Design and Training in Robustness to Common Corruptions. - Rui Tian; Zuxuan Wu; Qi Dai 001; Micah Goldblum; Han Hu 001; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2025)

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients. - Jiaqi Leng; Yakun Ju; Yuanxu Duan; Jiangnan Zhang; Qingxuan Lv; Zuxuan Wu; Hao Fan 004 (CoRR, 2025)

Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning. - Zuyao You; Junke Wang; Lingyu Kong; Bo He 004; Zuxuan Wu (CoRR, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

Human2Robot: Learning Robot Actions from Paired Human-Robot Videos. - Sicheng Xie; Haidong Cao; Zejia Weng; Zhen Xing; Shiwei Shen; Jiaqi Leng; Xipeng Qiu; Yanwei Fu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

A Survey on Video Diffusion Models. - Zhen Xing; Qijun Feng; Haoran Chen; Qi Dai 001; Han Hu 001; Hang Xu 004; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Comput. Surv., 2025)

Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning. - Haoran Chen; Ping Wang; Zihan Zhou; Xu Zhang; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training. - Zhenxin Li; Shihao Wang; Shiyi Lan; Zhiding Yu; Zuxuan Wu; José M. Álvarez 004 (CoRR, 2025)

Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation. - Kailin Li 004; Zhenxin Li; Shiyi Lan; Yuan Xie; Zhizhong Zhang; Jiayi Liu; Zuxuan Wu; Zhiding Yu; José M. Álvarez 004 (CoRR, 2025)

MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance. - Quanhao Li; Zhen Xing; Rui Wang 095; Hui Zhang 090; Qi Dai 001; Zuxuan Wu (CoRR, 2025)

CoMP: Continual Multimodal Pre-training for Vision Foundation Models. - Yitong Chen; Lingchen Meng; Wujian Peng; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation. - Haoyu Zhao; Zhongang Qi; Cong Wang 018; Qingping Zheng; Guansong Lu; Fei Chen; Hang Xu 004; Zuxuan Wu (CoRR, 2025)

Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection. - Junke Wang; Zhenxin Li; Chao Zhang 001; Jingjing Chen 001; Zuxuan Wu; Larry S. Davis; Yu-Gang Jiang 001 (Proc. IEEE, 2025)

Aligning Anime Video Generation with Human Feedback. - Bingwen Zhu; Yudong Jiang; Baohan Xu; Siqian Yang; Mingyu Yin; Yidi Wu; Huyang Sun; Zuxuan Wu (CoRR, 2025)

SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL. - Junke Wang; Zhi Tian; Xun Wang; Xinyu Zhang; Weilin Huang; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection. - Junke Wang; Zuxuan Wu; Dongdong Chen 001; Chong Luo; Xiyang Dai; Lu Yuan; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation. - Rui Tian; Mingfei Gao; Mingze Xu; Jiaming Hu; Jiasen Lu; Zuxuan Wu; Yinfei Yang; Afshin Dehghan (CoRR, 2025)

ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning. - Ziqiang Xu; Qi Dai 001; Tian Xie; Yifan Yang 004; Kai Qiu; Dongdong Chen 001; Zuxuan Wu; Chong Luo (CoRR, 2025)

Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities. - Ziwei Zhou; Rui Wang 095; Zuxuan Wu (CoRR, 2025)

CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design. - Hui Zhang 090; Dexiang Hong; Maoke Yang; Yutao Cheng; Zhao Zhang; Jie Shao; Xinglong Wu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control. - Danfeng li; Hui Zhang 090; Sheng Wang; Jiacheng Li; Zuxuan Wu (CoRR, 2025)

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning. - Wenhao Yao; Zhenxin Li; Shiyi Lan; Zi Wang; Xinglong Sun; José M. Álvarez 004; Zuxuan Wu (CoRR, 2025)

Generalized Trajectory Scoring for End-to-end Multimodal Planning. - Zhenxin Li; Wenhao Yao; Zi Wang; Xinglong Sun; Joshua Chen; Nadine Chang; Maying Shen; Zuxuan Wu; Shiyi Lan; José M. Álvarez 004 (CoRR, 2025)

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning. - Zuyao You; Zuxuan Wu (CoRR, 2025)

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis. - Peng Zheng; Junke Wang; Yi Chang; Yizhou Yu; Rui Ma 011; Zuxuan Wu (CoRR, 2025)

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization. - Peng Zheng; Ye Wang; Rui Ma 011; Zuxuan Wu (CoRR, 2025)

StableAnimator++: Overcoming Pose Misalignment and Face Distortion for Human Image Animation. - Shuyuan Tu; Zhen Xing; Xintong Han; Zhi-Qi Cheng; Qi Dai 001; Chong Luo; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation. - Haoran Chen; Zexiao Wang; Haidong Cao; Zuxuan Wu; Yu-Gang Jiang (CoRR, 2025)

Multimodal Referring Segmentation: A Survey. - Henghui Ding; Song Tang; Shuting He; Chang Liu; Zuxuan Wu; Yu-Gang Jiang (CoRR, 2025)

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models. - Quan-Sheng Zeng; Yunheng Li; Qilong Wang 001; Peng-Tao Jiang; Zuxuan Wu; Ming-Ming Cheng; Qibin Hou (CoRR, 2025)

StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation. - Shuyuan Tu; Yueming Pan; Yinming Huang; Xintong Han; Zhen Xing; Qi Dai 001; Chong Luo; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

Repeating Words for Video-Language Retrieval with Coarse-to-Fine Objectives. - Haoyu Zhao; Jiaxi Gu; Shicong Wang; Xing Zhang 013; Hang Xu 004; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

DiffusionAD: Norm-Guided One-Step Denoising Diffusion for Anomaly Detection. - Hui Zhang 090; Zheng Wang 059; Dan Zeng 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)