108 citations · 361 across the 15 of their papers we have counts for
15 papers · 1 filter
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Yi Wang, Kunchang Li, Yizhuo Li +14
The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on…
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
Kunchang Li, Yali Wang, Yinan He +4
Learning discriminative spatiotemporal representation is the key problem of video understanding. Recently, Vision Transformers (ViTs) have shown their power in learning long-term v…
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
Guo Chen, Sen Xing, Zhe Chen +18
In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, includin…
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Yi Liu, Xuan Zhang, Ying Li +9
Video understanding is an important problem in computer vision. Currently, the well-studied task in this research is human action recognition, where the clips are manually trimmed…
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
Mengzhe He, Yali Wang, Jiaxi Wu +6
Cross domain object detection is a realistic and challenging task in the wild. It suffers from performance degradation due to large shift of data distributions and lack of instance…
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
Mingfei Han, David Junhao Zhang, Yali Wang +4
Learning spatial-temporal relation among multiple actors is crucial for group activity recognition. Different group activities often show the diversified interactions between actor…