Mike Z. SHOU

Mike Z. SHOU

Columbia University in the City of New York

H-index: 26

North America-United States

About Mike Z. SHOU

Mike Z. SHOU, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Computer Vision, AR/VR, Multimedia.

His recent articles reflect a diverse array of research interests and contributions to the field:

Datasetdm: Synthesizing data with perception annotations using diffusion models

DragAnything: Motion Control for Anything using Entity Representation

Towards A Better Metric for Text-to-Video Generation

RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification

Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

Sct: A simple baseline for parameter-efficient fine-tuning via salient channels

Moonshot: Towards controllable video generation and editing with multimodal conditions

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks

Mike Z. SHOU Information

University

Position

Facebook AI;

Citations(all)

5747

Citations(since 2020)

5319

Cited By

1828

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

44

i10Index(since 2020)

44

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Mike Z. SHOU Skills & Research Interests

Computer Vision

AR/VR

Multimedia

Top articles of Mike Z. SHOU

Title

Journal

Author(s)

Publication Date

Datasetdm: Synthesizing data with perception annotations using diffusion models

Advances in Neural Information Processing Systems

Weijia Wu

Yuzhong Zhao

Hao Chen

Yuchao Gu

Rui Zhao

...

2024/2/13

DragAnything: Motion Control for Anything using Entity Representation

arXiv preprint arXiv:2403.07420

Wejia Wu

Zhuang Li

Yuchao Gu

Rui Zhao

Yefei He

...

2024/3/12

Towards A Better Metric for Text-to-Video Generation

arXiv preprint arXiv:2401.07781

Jay Zhangjie Wu

Guian Fang

Haoning Wu

Xintao Wang

Yixiao Ge

...

2024/1/15

RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification

arXiv preprint arXiv:2404.14055

Hai Ci

Pei Yang

Yiren Song

Mike Zheng Shou

2024/4/22

Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

Advances in Neural Information Processing Systems

Yuchao Gu

Xintao Wang

Jay Zhangjie Wu

Yujun Shi

Yunpeng Chen

...

2024/2/13

Sct: A simple baseline for parameter-efficient fine-tuning via salient channels

International Journal of Computer Vision

Henry Hengyuan Zhao

Pichao Wang

Yuyang Zhao

Hao Luo

Fan Wang

...

2024/3

Moonshot: Towards controllable video generation and editing with multimodal conditions

arXiv preprint arXiv:2401.01827

David Junhao Zhang

Dongxu Li

Hung Le

Mike Zheng Shou

Caiming Xiong

...

2024/1/3

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks

ICASSP-24

Zeyang Song

Jibin Wu

Malu Zhang

Mike Zheng Shou

Haizhou Li

2023/9/18

Object-centric learning with cyclic walks between parts and whole

Ziyu Wang

Mike Zheng Shou

Mengmi Zhang

2023/2/16

Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters

arXiv preprint arXiv:2402.13724

Zechen Bai

Peng Chen

Xiaolan Peng

Lu Liu

Hui Chen

...

2024/2/21

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

arXiv preprint arXiv:2401.00849

Alex Jinpeng Wang

Linjie Li

Kevin Qinghong Lin

Jianfeng Wang

Kevin Lin

...

2024/1/1

Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Technical Report

Wentian Zhang

Haozhe Liu#

Jinheng Xie

Francesco Faccio

Mike Zheng Shou

...

2024/4/3

Skip $\textbackslash n $: A simple method to reduce hallucination in Large Vision-Language Models

arXiv preprint arXiv:2402.01345

Zongbo Han

Zechen Bai

Haiyang Mei

Qianli Xu

Changqing Zhang

...

2024/2/2

Xagen: 3d expressive human avatars generation

Advances in Neural Information Processing Systems

Zhongcong Xu

Jianfeng Zhang

Jun Hao Liew

Jiashi Feng

Mike Zheng Shou

2024/2/13

Hallucination of Multimodal Large Language Models: A Survey

arXiv preprint arXiv:2404.18930

Zechen Bai

Pichao Wang

Tianjun Xiao

Tong He

Zongbo Han

...

2024/4/29

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces

arXiv preprint arXiv:2401.13516

Juan Hu

Xin Liao

Difei Gao

Satoshi Tsutsui

Qian Wang

...

2024/1/24

Learning Visual Prior via Generative Pre-Training

Advances in Neural Information Processing Systems

Jinheng Xie

Kai Ye

Yudong Li

Yuexiang Li

Kevin Qinghong Lin

...

2024/2/13

Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation

arXiv preprint arXiv:2403.12728

Jingtao Sun

Yaonan Wang

Mingtao Feng

Chao Ding

Mike Zheng Shou

...

2024/3/19

Managing Metaverse Data Tsunami: Actionable Insights

IEEE Transactions on Knowledge and Data Engineering

Bingxue Zhang

Gang Chen

Beng Chin Ooi

Mike Zheng Shou

Kian-Lee Tan

...

2024/1/16

Learning Long-form Video Prior via Generative Pre-Training

arXiv preprint arXiv:2404.15909

Jinheng Xie

Jiajun Feng

Zhaoxu Tian

Kevin Qinghong Lin

Yawen Huang

...

2024/4/24

See List of Professors in Mike Z. SHOU University(Columbia University in the City of New York)

Co-Authors

H-index: 134
Shih-Fu Chang

Shih-Fu Chang

Columbia University in the City of New York

H-index: 39
Linchao Zhu (朱霖潮)

Linchao Zhu (朱霖潮)

University of Technology Sydney

H-index: 21
Jussi Keppo

Jussi Keppo

National University of Singapore

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