activity
20122022
most citedChannel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

52 citations · 322 across the 24 of their papers we have counts for

collaborators

25 papers

cs.CV2022

PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning

Yifan Lu, Ziqi Zhang, Yuxin Chen +3

The task of Dense Video Captioning (DVC) aims to generate captions with timestamps for multiple events in one video. Semantic information plays an important role for both localizat…

cs.CV2022★ 1 cited

Cross-Architecture Knowledge Distillation

Yufan Liu, Jiajiong Cao, Bing Li +3

Transformer attracts much attention because of its ability to learn global relations and superior performance. In order to achieve higher performance, it is natural to distill comp…

cs.CV2022★ 12 cited

Narrowing the Gap: Improved Detector Training with Noisy Location Annotations

Shaoru Wang, Jin Gao, Bing Li +1

Deep learning methods require massive of annotated data for optimizing parameters. For example, datasets attached with accurate bounding box annotations are essential for modern ob…

cs.CV2022★ 11 cited

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning

Li Yang, Yan Xu, Chunfeng Yuan +3

Visual grounding is a task to locate the target indicated by a natural language expression. Existing methods extend the generic object detection framework to this problem. They bas…

cs.CV2022★ 5 cited

CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation

Ziqi Zhang, Yuxin Chen, Zongyang Ma +5

Previous works of video captioning aim to objectively describe the video's actual content, which lacks subjective and attractive expression, limiting its practical application scen…

cs.CV2022★ 3 cited

Learning Target-aware Representation for Visual Tracking via Informative Interactions

Mingzhe Guo, Zhipeng Zhang, Heng Fan +4

We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perfo…