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Chunhui Zhao

4 papers hereh-index 18998 citations39 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Chunhui Zhao — 4 papers, h 16
  • Chunhui Zhao — 3 papers, h 1
  • Chunhui Zhao — 2 papers, h 13
  • Chunhui Zhao — 1 paper, h 1
  • Chunhui Zhao — 1 paper, h 8
  • Chunhui Zhao — 1 paper, h 1

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 citedBias-Eliminated Semantic Refinement for Any-Shot Learning

22 citations · 30 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization

Songchun Zhang, Chunhui Zhao

Weakly supervised temporal action localization (WSTAL) aims to localize actions in untrimmed videos using video-level labels. Despite recent advances, existing approaches mainly fo…

cs.CV2023★ 2 cited

Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes

Songchun Zhang, Chunhui Zhao

Self-supervised methods have showed promising results on depth estimation task. However, previous methods estimate the target depth map and camera ego-motion simultaneously, underu…

cs.CV2022★ 22 cited

Bias-Eliminated Semantic Refinement for Any-Shot Learning

Liangjun Feng, Chunhui Zhao, Xi Li

When training samples are scarce, the semantic embedding technique, ie, describing class labels with attributes, provides a condition to generate visual features for unseen objects…

eess.IV2022★ 5 cited

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training

Zihang Liu, Chunhui Zhao

The performance of supervised deep learning methods for medical image segmentation is often limited by the scarcity of labeled data. As a promising research direction, semi-supervi…

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