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Feng Yan

4 papers hereh-index 492 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Feng Yan — 16 papers, h 9
  • Feng Yan — 13 papers, h 6
  • Feng Yan — 9 papers, h 42
  • Feng Yan — 6 papers, h 3
  • Feng Yan — 5 papers, h 11
  • Feng Yan — 4 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedSoccerNet 2023 Challenges Results

28 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis

Lei Chen, Feng Yan, Yujie Zhong +3

Multimodal Large Language Models (MLLM) have made significant progress in the field of document analysis. Despite this, existing benchmarks typically focus only on extracting text…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2023★ 11 cited

Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking

Feng Yan, Weixin Luo, Yujie Zhong +2

Existing end-to-end Multi-Object Tracking (e2e-MOT) methods have not surpassed non-end-to-end tracking-by-detection methods. One potential reason is its label assignment strategy d…

cs.CV2022★ 3 cited

Multiple Object Tracking Challenge Technical Report for Team MT_IoT

Feng Yan, Zhiheng Li, Weixin Luo +4

This is a brief technical report of our proposed method for Multiple-Object Tracking (MOT) Challenge in Complex Environments. In this paper, we treat the MOT task as a two-stage ta…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.