activity
20152022
most citedTowards Good Practices for Very Deep Two-Stream ConvNets

385 citations · 1.5k across the 33 of their papers we have counts for

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Showing cs.CVShow all

42 papers · 1 filter

cs.CV202293 cited

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…

cs.CV2022

VLG: General Video Recognition with Web Textual Knowledge

Jintao Lin, Zhaoyang Liu, Wenhai Wang +2

Video recognition in an open and dynamic world is quite challenging, as we need to handle different settings such as close-set, long-tail, few-shot and open-set. By leveraging sema…

cs.CV202259 cited

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…

cs.CV20225 cited

AdaMixer: A Fast-Converging Query-Based Object Detector

Ziteng Gao, Limin Wang, Bing Han +1

Traditional object detectors employ the dense paradigm of scanning over locations and scales in an image. The recent query-based object detectors break this convention by decoding…

cs.CV20229 cited

Task-specific Inconsistency Alignment for Domain Adaptive Object Detection

Liang Zhao, Limin Wang

Detectors trained with massive labeled data often exhibit dramatic performance degradation in some particular scenarios with data distribution gap. To alleviate this problem of dom…

cs.CV202230 cited

MixFormer: End-to-End Tracking with Iterative Mixed Attention

Yutao Cui, Cheng Jiang, Limin Wang +1

Tracking often uses a multi-stage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify the process of fe…