Jinpeng Wang - PHD, National University of Singaoire

[Alex] Jinpeng Wang (王金鹏)

PHD
National University of Singapore (NUS)
Singapore

jinpengwang at u.nus.edu
[GitHub] [Google Scholar]
[Semantic Scholar]
[Twitter] [Bio]

My research interests are in Multi-modality Learning and Data-centric AI. Now I mainly focus on very large-scale efficient vision-language pre-training (VLP). I obtained my bachelor degree and master degree in Sun Yat-Sen University (SYSU). I obtained my PHD degree in National University of Singapore (NUS) and supervised by Prof. Mike Zheng Shou.

News

[Aug 2024] Congratulation!! Our paper "Parrot Captions Teach CLIP to Spot Text" selected as an oral presentation in ECCV24.
[June 2024] We release VisInContext, an efficient Interleaved vision-language pre-training framework for increasing the in-context text length.
[Jan 2024] We release CosMo, an efficient Interleaved vision-language pre-training framework for both Image and Video! We also release the first interleaved video-text dataset Howto-Interlink7M. See Website for more details.
[Dec 2023] We release "Parrot Captions Teach CLIP to Spot Text", an work focus on explore one simple bug in CLIP model. See Website for more details.
[Dec 2023] Our extension of "Position-guided Text Prompt for Vision Language Pre-training" is accepted by TPAMI.
[April 2023] Our image2paragraph toolbox for fun, Code.
[Feb 2023] Our PTP and All-in-one are all accepted by CVPR2023.
[Dec 2022] The work "Position-guided Text Prompt for Vision-language Pretraining" has been released in arxiv. Code and pretrained models available here: Code.
[Sep 2022] Our first work for large-scale ego-centric pretrained method "Egocentric Video-Language Pretraining" (second-author) has been accepted by NeurIPS 2022.
[July 2022] One co-author work has been accepted by ECCV2022.
[June 2022] We won first place in CVPR's EPIC-Kitchens Challenge 2022 and OSCC of Ego4D Challenge. Looking kevin's website for details.
[Mar 2022] We release the first and simplest e2e one-stream video-language pre-training method: "All in One: Exploring Unified Video-Language Pre-training" in arix! Code and pretrained models are available here: Code.
[Mar 2022] Congratulation!! Our paper "Object-aware Video-language Pre-training for Retrieval" has been accepted by CVPR2022! Code.
[Mar 2022] Two previous co-author papers has been accepted by ICME.
[Feb 2022] One previous co-author paper "Hierarchical Feature Disentangling Network for Universal Domain Adaptation" has been accepted by Pattern Recognition (PR) (IF: 7.2). URL
[Nov 2021] Congratulation! Our paper "Suppressing Static Visual Cues via Normalizing Flows for Self-supervised Video Representation Learning" has been accepted by AAAI2022. It will be released in Arxiv soon.
[July 2021] Congratulation! Our paper "Learning Spatio-temporal Representation by Channel Aliasing Video Perception" has been accepted by ACM MM.
[July 2021] I was awarded the excellent master graduation thesis (1/224).
[June 2021] Our paper "Multi-level Temporal Dilated Dense Prediction for Action Recognition" has been published in IEEE Transactions on MultiMedia (TMM) (IF: 6.1). URL
[Apr 2021] Congratulation!!! I will take part in Show Lab at the August of this year.
[Mar 2021] I was invited to give a talk in VALSE-semanir in 3.28. Weclome to take part in us! Link!
[Mar 2021] Our BE was recommended to CVer! Link!>
[Mar 2021] I will serve as a reviewer for ICCV2021!
[Mar 2021] Our works on video self-supervised learning were accepted to CVPR!
[Mar 2021] Our work on self-supervised mutual learning was accepted to ICME!
[Jan 2021] I will serve as a reviewer for CVPR2021!
[Oct 2020] Our work on using contrastive learning for video action recognition was accepted to AAAI!
[Aug 2020] The code for our 3D Net Visualization has been relased in My Github, support no-label visualization.
[Apr 2020] Our work on action recognition with dense prediction network was accepted to TCSVT!
[Feb 2018] The code for our real time action recognition has been relased in My Github,

Publications （First/Co-first Author）

2023.1.1 - Now

	Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning Alex Jinpeng Wang , Linjie Li, Yiqi Lin, Min Li, Lijuan Wang and Mike Zheng Shou To appear in NeurIPS, 2024. [Paper] [GitHub] [Website]
	COSMO: Contrastive Streamlined Multimodal Model With Interleaved Pre-Training. Alex Jinpeng Wang , Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang and Mike Zheng Shou Arxiv, 2024. [Paper] [GitHub] [COSMO Website] [COSMOE Website]
	Parrot Captions Teach CLIP to Spot Text. Yiqi Lin, Conghui He, Alex Jinpeng Wang (equal contribution) , Bin Wang, Weijia Li, Mike Zheng Shou To appear in ECCV, 2024. (Oral) [Paper] [GitHub]
	Too Large; Data Reduction for Vision-Language Pre-Training. Alex Jinpeng Wang , Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei and Mike Zheng Shou To appear in ICCV, 2023. [Paper] [GitHub]

2022.1.1 - 2022.12.31

	Position-guided Text Prompt for Vision Language Pre-training. Alex Jinpeng Wang , Pan Zhou , Mike Zheng Shou, Shuicheng Yan To appear in CVPR, 2023. [Paper] [GitHub] [Bibtex]
	All in One: Exploring Unified Video-Language Pre-training. Alex Jinpeng Wang , Yixiao Ge , Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou To appear in CVPR, 2023. [Paper] [GitHub] [Bibtex]
	Object-aware Video-language Pre-training for Retrieval. Alex Jinpeng Wang , Yixiao Ge , Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou To appear in CVPR, 2022. [Paper] [Webpage] [GitHub] [Bibtex]
	Suppressing Static Visual Cues in Probability via Normalizing Flows for Self-Supervised Video Representation Learning. Manlin Zhang, Jinpeng Wang (equal contribution), Andy J. Ma To appear in AAAI, 2022. Oral. [Paper] [Bibtex]

2021.1.1 - 2021.12.31

	Learning Spatio-temporal Representation by Channel Aliasing video Perception. Yiqi Lin, Jinpeng Wang (equal contribution), Manlin Zhang, Andy J. Ma To appear in ACM MM, 2021. [Paper] [Bibtex]
	Multi-level Temporal Dilated Dense Prediction for Action Recognition Jinpeng Wang, Yiqi Lin, Manlin Zhang, Yuan Gao, Andy J. Ma To appear in TMM, 2021. [Paper] [Bibtex]
	Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Rongrong Ji, Xing Sun To appear in CVPR, 2021. [Paper] [Webpage] [Video] [GitHub] [Bibtex]
	Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion Jinpeng Wang , Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun In AAAI, 2021. [Paper] [Webpage] [Video] [GitHub] [Bibtex]

2020 & before

	Revisiting Hard Example for Action Recognition Jinpeng Wang, Jianguo Hu, Shiren Li, Zhihao Yuan In TCSVT, 2020. [Paper] [GitHub] [Bibtex]
	Rethinking Temporal-Related Sample for Human Action Recognition Jinpeng Wang, Shiren Li, Zhikui Duan, Zhihao Yuan In ICASSP, 2020. [Paper] [Bibtex]
	Spatio-Temporal Bottom-Up Top-Down Attention Model for Action Recognition Jinpeng Wang, Andy J. Ma In ICIG, 2019. [Paper] [Bibtex]

Awards

2022 Showlab Annual Award. ($1,000)
The champion of CVPR'22 Epic-kinetics challenge (2022).
The 1st place in Ego4D challenge (2022).
The final awarded list of AI SINGAPORE PhD FELLOWSHIP PROGRAMME ($$240,000).
2021 Excellent Graduation Thesis (1/224).
Reviewer recognitions, CVPR 2021, ICCV 2021, AAAI 2021, TCSVT.
The First Prize Scholarship (2020).
Second Prize of College Students Innovation and Entrepreneurship Competition (2018).
Excellent undergraduate thesis (2017).