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Qiang Zhou

8 papers hereh-index 5140 citations9 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
  • cs.CY1
  • cs.LG1
  • cs.RO1
same name
  • Qiang Zhou — 18 papers, h 23
  • Qiang Zhou — 11 papers, h 7
  • Qiang Zhou — 7 papers, h 3
  • Qiang Zhou — 6 papers
  • Qiang Zhou — 6 papers, h 30
  • Qiang Zhou — 5 papers, h 10

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
20232026
most citedPAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

5 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data

Jianing Deng, Qiang Zhou, Jingtong Hu

Facial expression recognition (FER) is crucial for social interaction in mixed reality environments that employ head-mounted displays (HMD). However, collecting FER data from head-…

cs.CV2025

MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs

Junpeng Ma, Qizhe Zhang, Ming Lu +4

Video Large Language Models (VLLMs) excel in video understanding, but their excessive visual tokens pose a significant computational challenge for real-world applications. Current…

cs.CV2024

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Rui Ma, Qiang Zhou, Yizhu Jin +11

Copyright law confers upon creators the exclusive rights to reproduce, distribute, and monetize their creative works. However, recent progress in text-to-image generation has intro…

cs.CV2023★ 5 cited

PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

Qiang Zhou, Weize Li, Lihan Jiang +4

Object anomaly detection is an important problem in the field of machine vision and has seen remarkable progress recently. However, two significant challenges hinder its research a…

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