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Hao Fang

7 papers hereh-index 574 citations11 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL1
same name
  • Hao Fang — 31 papers, h 10
  • Hao Fang — 13 papers, h 17
  • Hao Fang — 13 papers, h 4
  • Hao Fang — 5 papers, h 2
  • Hao Fang — 4 papers, h 4
  • Hao Fang — 4 papers, h 3

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
20242026
most citedVideo Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track

1 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track

Hao Fang, Feiyu Pan, Xiankai Lu +2

Referring video object segmentation (RVOS) relies on natural language expressions to segment target objects in video. In this year, LSVOS Challenge RVOS Track replaced the origin Y…

cs.CV2024★ 1 cited

Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track

Feiyu Pan, Hao Fang, Runmin Cong +2

Video Object Segmentation (VOS) task aims to segmenting a particular object instance throughout the entire video sequence given only the object mask of the first frame. Recently, S…

cs.CV2024

Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation

Hao Fang, Peng Wu, Yawei Li +2

Open-Vocabulary Video Instance Segmentation (VIS) is attracting increasing attention due to its ability to segment and track arbitrary objects. However, the recent Open-Vocabulary…

cs.CV2024★ 1 cited

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results

Henghui Ding, Chang Liu, Yunchao Wei +34

Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentat…

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