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Jian Zhao

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV4
ORCID 0000-0002-3508-756X
same name
  • Jian Zhao — 12 papers, h 31
  • Jian Zhao — 9 papers
  • Jian Zhao — 8 papers
  • Jian Zhao — 7 papers
  • Jian Zhao — 6 papers
  • Jian Zhao — 6 papers

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
20162024
most citedRobust LSTM-Autoencoders for Face De-Occlusion in the Wild

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation

Haoyu Xie, Changqi Wang, Jian Zhao +4

Tremendous breakthroughs have been developed in Semi-Supervised Semantic Segmentation (S4) through contrastive learning. However, due to limited annotations, the guidance on unlabe…

cs.CV2023

Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning

Zhuo Zhou, Wenxuan Liu, Danni Xu +2

This paper introduces a new and challenging Hidden Intention Discovery (HID) task. Unlike existing intention recognition tasks, which are based on obvious visual representations to…

cs.CV2023

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking

Jianqiang Xia, DianXi Shi, Ke Song +11

Most existing RGB-T tracking networks extract modality features in a separate manner, which lacks interaction and mutual guidance between modalities. This limits the network's abil…

cs.CV2016★ 6 cited

Robust LSTM-Autoencoders for Face De-Occlusion in the Wild

Fang Zhao, Jiashi Feng, Jian Zhao +2

Face recognition techniques have been developed significantly in recent years. However, recognizing faces with partial occlusion is still challenging for existing face recognizers…

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