Memory-and-Anticipation Transformer for Online Action Understanding

Jiahao Wang*, Guo Chen*, Yifei Huang, Limin Wang, Tong Lu#

International Conference on Computer Vision (ICCV), 2023

Introduction: This work presents a memory-anticipation-based method for online action understanding.

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BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection

Min Yang*, Guo Chen*, Yin-Dong Zheng, Tong Lu, Limin Wang#

Computer Vision and Image Understanding (CVIU)

Introduction: This work presents a simple yet effective end-to-end training framework for temporal action detection.

[PDF] [bibtex] [code]

DCAN: Improving Temporal Action Detection via Dual Context Aggregation

Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu#

Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022

This work explored boundary-based methods for temporal action detection and proposed a novel network, termed DCAN, to improve temporal action detection via temporal-level and proposal-level context aggregation.

[PDF] [bibtex] [code]

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao#

Arxiv, 2022

[PDF] [bibtex] [code]

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

Guo Chen*, Sen Xing*, Zhe Chen*, Yi Wang*, Kunchang Li, Yizhuo Li, Yi Liu, Jiahao Wang, Yin-Dong Zheng, Bingkun Huang, Zhiyu Zhao, Junting Pan, Yifei Huang, Zun Wang, Jiashuo Yu, Yinan He, Hongjie Zhang, Tong Lu, Yali Wang, Limin Wang, Yu Qiao#

Arxiv, 2022

Introduction: This work presents our champion solutions to five tracks at Ego4D challenge.

[PDF] [bibtex] [code]