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Kaiwen Zhang

9 papers hereh-index 273.4k citations199 works total

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

author position
  • first author4
  • middle author4
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.DC2
  • cs.RO1
  • eess.IV1
  • physics.ins-det1
same name
  • Kaiwen Zhang — 13 papers, h 19
  • Kaiwen Zhang — 7 papers, h 5
  • Kaiwen Zhang — 6 papers, h 6
  • Kaiwen Zhang — 6 papers, h 5
  • Kaiwen Zhang — 3 papers, h 8
  • Kaiwen Zhang — 3 papers, h 2

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 citedCustomized Segment Anything Model for Medical Image Segmentation

122 citations · 161 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 17 cited

Towards Interactive Image Inpainting via Sketch Refinement

Chang Liu, Shunxin Xu, Jialun Peng +2

One tough problem of image inpainting is to restore complex structures in the corrupted regions. It motivates interactive image inpainting which leverages additional hints, e.g., s…

cs.CV2023★ 122 cited

Customized Segment Anything Model for Medical Image Segmentation

Kaidong Zhang, Dong Liu

We propose SAMed, a general solution for medical image segmentation. Different from the previous methods, SAMed is built upon the large-scale image segmentation model, Segment Anyt…

cs.CV2023★ 14 cited

Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting

Kaidong Zhang, Jialun Peng, Jingjing Fu +1

Transformers have been widely used for video processing owing to the multi-head self attention (MHSA) mechanism. However, the MHSA mechanism encounters an intrinsic difficulty for…

cs.CV2022

Flow-Guided Transformer for Video Inpainting

Kaidong Zhang, Jingjing Fu, Dong Liu

We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fideli…

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