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Kexin Zhang

4 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.HC1
ORCID 0009-0009-0472-6013
same name
  • Kexin Zhang — 4 papers, h 7
  • Kexin Zhang — 3 papers
  • Kexin Zhang — 3 papers
  • Kexin Zhang — 2 papers
  • Kexin Zhang — 1 paper
  • Kexin Zhang — 1 paper

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

most citedExploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS

Xinyu Liu, Jing Zhang, Kexin Zhang +2

Video Object Segmentation (VOS) presents several challenges, including object occlusion and fragmentation, the dis-appearance and re-appearance of objects, and tracking specific ob…

cs.CV2024

3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation

Xinyu Liu, Jing Zhang, Kexin Zhang +3

Video Object Segmentation (VOS) is a vital task in computer vision, focusing on distinguishing foreground objects from the background across video frames. Our work draws inspiratio…

cs.HC2024★ 1 cited

Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

Kexin Zhang, Brianna Cochran, Ruijia Chen +6

First responders (FRs) navigate hazardous, unfamiliar environments in the field (e.g., mass-casualty incidents), making life-changing decisions in a split second. AR head-mounted d…

cs.CV2023

The Robust Semantic Segmentation UNCV2023 Challenge Results

Xuanlong Yu, Yi Zuo, Zitao Wang +34

This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segment…

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