Mike Zheng Shou

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 169

Top Venues

Publications

Hai Ci, Pei Yang, Yiren Song, Mike Zheng Shou
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification. CoRR (2024)
Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces. CoRR (2024)
Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels. Int. J. Comput. Vis. 132 (3) (2024)
Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
VideoGUI: A Benchmark for GUI Automation from Instructional Videos. CoRR (2024)
Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou
Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious? CoRR (2024)
Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training. CoRR (2024)
Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
Hallucination of Multimodal Large Language Models: A Survey. CoRR (2024)
Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang
DragAnything: Motion Control for Anything using Entity Representation. CoRR (2024)
Yang Wang, Haiyang Mei, Qirui Bao, Ziqi Wei, Mike Zheng Shou, Haizhou Li, Bo Dong, Xin Yang
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition. CoRR (2024)
Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models. CoRR (2024)
Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP (2024)
Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, Mike Zheng Shou
WMAdapter: Adding WaterMark Control to Latent Diffusion Models. CoRR (2024)
Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan
Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou
Learning Long-form Video Prior via Generative Pre-Training. CoRR (2024)
Feipeng Ma, Hongwei Xue, Guangting Wang, Yizhou Zhou, Fengyun Rao, Shilin Yan, Yueyi Zhang, Siying Wu, Mike Zheng Shou, Xiaoyan Sun
Visual Perception by Large Language Model's Weights. CoRR (2024)
Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. ICLR (2024)
Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. CoRR (2024)
Ming Li, Huazhu Fu, Shengfeng He, Hehe Fan, Jun Liu, Jussi Keppo, Mike Zheng Shou
DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition. IEEE Trans. Multim. 26 (2024)
Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou
Continual Learning for Image Segmentation With Dynamic Query. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Yiren Song, Shijie Huang, Chen Yao, Xiaojun Ye, Hai Ci, Jiaming Liu, Yuxuan Zhang, Mike Zheng Shou
ProcessPainter: Learn Painting Process from Sequence Data. CoRR (2024)
Qinchen Wu, Difei Gao, Kevin Qinghong Lin, Zhuoyu Wu, Xiangwu Guo, Peiran Li, Weichen Zhang, Hengxu Wang, Mike Zheng Shou
GUI Action Narrator: Where and When Did That Action Take Place? CoRR (2024)
Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Mike Zheng Shou
LOVA3: Learning to Visual Question Answering, Asking and Assessment. CoRR (2024)
Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou
Learning Video Context as Interleaved Multimodal Sequences. CoRR (2024)
Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning. CoRR (2024)
Jay Zhangjie Wu, Guian Fang, Haoning Wu, Xintao Wang, Yixiao Ge, Xiaodong Cun, David Junhao Zhang, Jia-Wei Liu, Yuchao Gu, Rui Zhao, Weisi Lin, Wynne Hsu, Ying Shan, Mike Zheng Shou
Towards A Better Metric for Text-to-Video Generation. CoRR (2024)
Zechen Bai, Peng Chen, Xiaolan Peng, Lu Liu, Hui Chen, Mike Zheng Shou, Feng Tian
Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters. CoRR (2024)
Jingtao Sun, Yaonan Wang, Mingtao Feng, Chao Ding, Mike Zheng Shou, Ajmal Saeed Mian
Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation. CoRR (2024)
Feipeng Ma, Hongwei Xue, Guangting Wang, Yizhou Zhou, Fengyun Rao, Shilin Yan, Yueyi Zhang, Siying Wu, Mike Zheng Shou, Xiaoyan Sun
Multi-Modal Generative Embedding Model. CoRR (2024)
Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou
VideoLLM-online: Online Video Large Language Model for Streaming Video. CoRR (2024)
David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR (2024)
Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou
Making Vision Transformers Efficient from A Token Sparsification View. CoRR (2023)
Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou
UniVTG: Towards Unified Video-Language Temporal Grounding. CoRR (2023)
Binqian Xu, Xiangbo Shu, Rui Yan, Guo-Sen Xie, Yixiao Ge, Mike Zheng Shou
Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning. CoRR (2023)
Muhammet Ilaslan, Chenan Song, Joya Chen, Difei Gao, Weixian Lei, Qianli Xu, Joo Lim, Mike Zheng Shou
GazeVQA: A Video Question Answering Dataset for Multiview Eye-Gaze Task-Oriented Collaborations. EMNLP (2023)
Wenqian Wang, Faliang Chang, Junhao Zhang, Rui Yan, Chunsheng Liu, Bin Wang, Mike Zheng Shou
Magi-Net: Meta Negative Network for Early Activity Prediction. IEEE Trans. Image Process. 32 (2023)
Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn. CoRR (2023)
Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. CoRR (2023)
Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou
Revisiting Vision Transformer from the View of Path Ensemble. CoRR (2023)
Weixian Lei, Yixiao Ge, Jianfeng Zhang, Dylan Sun, Kun Yi, Ying Shan, Mike Zheng Shou
ViT-Lens: Towards Omni-modal Representations. CoRR (2023)
Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
Unsupervised Open-Vocabulary Object Localization in Videos. ICCV (2023)
Weijia Wu, Yuzhong Zhao, Zhuang Li, Jiahong Li, Mike Zheng Shou, Umapada Pal, Dimosthenis Karatzas, Xiang Bai
ICDAR 2023 Video Text Reading Competition for Dense and Small Text. CoRR (2023)
Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou
ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation. CoRR (2023)
Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
Learning Visual Prior via Generative Pre-Training. NeurIPS (2023)
Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou, Mike Zheng Shou
Integrating View Conditions for Image Synthesis. CoRR (2023)
Joya Chen, Difei Gao, Kevin Qinghong Lin, Mike Zheng Shou
Affordance Grounding from Demonstration Video to Target Image. CoRR (2023)
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. CoRR (2023)
Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan
Position-Guided Text Prompt for Vision-Language Pre-Training. CVPR (2023)
Ziyu Wang, Mike Zheng Shou, Mengmi Zhang
Object-centric Learning with Cyclic Walks between Parts and Whole. NeurIPS (2023)
Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR (2023)
Jiawei Liu, Yan-Pei Cao, Jay Zhangjie Wu, Weijia Mao, Yuchao Gu, Rui Zhao, Jussi Keppo, Ying Shan, Mike Zheng Shou
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing. CoRR (2023)
Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels. CoRR (2023)
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models. CoRR (2023)
Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou
DOAD: Decoupled One Stage Action Detection Network. CVPR Workshops (2023)
Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
All in One: Exploring Unified Video-Language Pre-Training. CVPR (2023)
Qi Mao, Lan Chen, Yuchao Gu, Zhen Fang, Mike Zheng Shou
MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance. CoRR (2023)
Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan
Darwinian Model Upgrades: Model Evolving with Selective Compatibility. AAAI (2023)
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
XAGen: 3D Expressive Human Avatars Generation. NeurIPS (2023)
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. ICCV (2023)
Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. CVPR (2023)
Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You
MLLMs-Augmented Visual-Language Representation Learning. CoRR (2023)
Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou
ViT-Lens-2: Gateway to Omni-modal Intelligence. CoRR (2023)
Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Mike Zheng Shou, Nan Duan
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding. ACL (1) (2023)
Weijia Wu, Yuzhong Zhao, Zhuang Li, Jiahong Li, Hong Zhou, Mike Zheng Shou, Xiang Bai
A Large Cross-Modal Video Retrieval Dataset with Reading Comprehension. CoRR (2023)
Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jiawei Liu, Weijia Wu, Jussi Keppo, Mike Zheng Shou
MotionDirector: Motion Customization of Text-to-Video Diffusion Models. CoRR (2023)
Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. NeurIPS (2023)
Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. CoRR (2023)
Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou
Too Large; Data Reduction for Vision-Language Pre-Training. ICCV (2023)
Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou
Bootstrapping SparseFormers from Vision Foundation Models. CoRR (2023)
Mike Zheng Shou
Large Generative Models Meet Multimodal Video Intelligence. LGM3A@MM (2023)
Jia-Wei Liu, Yan-Pei Cao, Tianyuan Yang, Zhongcong Xu, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou
HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video. ICCV (2023)
Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou
Making Vision Transformers Efficient from A Token Sparsification View. CVPR (2023)
Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator. CoRR (2023)
Hengyuan Zhao, Hao Luo, Yuyang Zhao, Pichao Wang, Fan Wang, Mike Zheng Shou
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm. CoRR (2023)
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. CoRR (2023)
Zhijian Hou, Lei Ji, Difei Gao, Wanjun Zhong, Kun Yan, Chao Li, Wing-Kwong Chan, Chong-Wah Ngo, Nan Duan, Mike Zheng Shou
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023. CoRR (2023)
Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. ICCV (2023)
Xizhe Xue, Haokui Zhang, Ying Li, Liuwei Wan, Zongwen Bai, Mike Zheng Shou
Bridging Sensor Gaps via Single-Direction Tuning for Hyperspectral Image Classification. CoRR (2023)
Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang
Video-Text Pre-training with Learned Regions for Retrieval. AAAI (2023)
Ming Li, Jun Liu, Hehe Fan, Jia-Wei Liu, Jiahe Li, Mike Zheng Shou, Jussi Keppo
STPrivacy: Spatio-Temporal Tubelet Sparsification and Anonymization for Privacy-preserving Action Recognition. CoRR (2023)
Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou
Label-Efficient Online Continual Object Detection in Streaming Video. ICCV (2023)
Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection. CoRR (2023)
Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li, Mike Zheng Shou
ColonNeRF: Neural Radiance Fields for High-Fidelity Long-Sequence Colonoscopy Reconstruction. CoRR (2023)
Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest N. Iandola
CVPR 2023 Text Guided Video Editing Competition. CoRR (2023)
Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. ICCV (2023)
Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR (2023)
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. ICCV (2023)
Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou
Revisiting Vision Transformer from the View of Path Ensemble. ICCV (2023)
Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. CoRR (2023)
Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang
Learning to Learn: How to Continuously Teach Humans and Machines. ICCV (2023)
Bardienus Pieter Duisterhof, Zhao Mandi, Yunchao Yao, Jia-Wei Liu, Mike Zheng Shou, Shuran Song, Jeffrey Ichnowski
MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes. CoRR (2023)
Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou
UniVTG: Towards Unified Video-Language Temporal Grounding. ICCV (2023)
Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces. CoRR (2023)
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR (2023)
David Junhao Zhang, Mutian Xu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks. CoRR (2023)
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. ICCV (2023)
Yiqi Lin, Conghui He, Alex Jinpeng Wang, Bin Wang, Weijia Li, Mike Zheng Shou
Parrot Captions Teach CLIP to Spot Text. CoRR (2023)
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia (2023)
David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, Mike Zheng Shou
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation. CoRR (2023)
Joya Chen, Difei Gao, Kevin Qinghong Lin, Mike Zheng Shou
Affordance Grounding from Demonstration Video to Target Image. CVPR (2023)
Binjie Zhang, Yixiao Ge, Xuyuan Xu, Ying Shan, Mike Zheng Shou
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter. CoRR (2023)

Mike Zheng Shou.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mike Zheng Shou