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researcher

Jiahao Li

37 papers hereh-index 162.5k citations58 works total

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

author position
  • sole author1
  • first author7
  • middle author29

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • cs.CV28
  • eess.IV6
  • cs.AI1
  • cs.CL1
  • cs.LG1
same name
  • Jiahao Li — 11 papers, h 6
  • Jiahao Li — 10 papers, h 5
  • Jiahao Li — 9 papers, h 32
  • Jiahao Li — 9 papers, h 6
  • Jiahao Li — 9 papers, h 3
  • Jiahao Li — 5 papers, 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

activity
20212026
most citedTemporal Context Mining for Learned Video Compression

224 citations · 360 across the 36 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 3 cited

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

Jiahao Li, Zongxin Yang, Xiaohan Wang +3

In this study, we focus on the problem of 3D human mesh recovery from a single image under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment technologi…

cs.CV2023

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking

Yuanyou Xu, Jiahao Li, Zongxin Yang +2

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object tracking and segmentation. In…

cs.CV2023

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation

Jiahao Li, Yuanyou Xu, Zongxin Yang +2

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object segmentation. In this study, w…

eess.IV2023★ 1 cited

Neural Video Compression with Diverse Contexts

Jiahao Li, Bin Li, Yan Lu

For any video codecs, the coding efficiency highly relies on whether the current signal to be encoded can find the relevant contexts from the previous reconstructed signals. Tradit…

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