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Wenbin Chen

4 papers hereh-index 463 citations13 works total

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

author position
  • middle author4

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

fields
  • cs.CV2
  • eess.IV2
same name
  • Wenbin Chen — 18 papers, h 29
  • Wenbin Chen — 3 papers, h 4
  • Wenbin Chen — 2 papers, h 8
  • Wenbin Chen — 2 papers, h 2
  • Wenbin Chen — 2 papers, h 4
  • Wenbin Chen — 1 paper

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 citedUnified Batch All Triplet Loss for Visible-Infrared Person Re-identification

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization

Wenkang Li, Qi Ke, Wenbin Chen +1

Visible-infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image…

cs.CV2021★ 1 cited

Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification

Wenkang Li, Ke Qi, Wenbin Chen +1

Visible-Infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image…

eess.IV2021

Multi-Grid Back-Projection Networks

Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu +2

Multi-Grid Back-Projection (MGBP) is a fully-convolutional network architecture that can learn to restore images and videos with upscaling artifacts. Using the same strategy of mul…

eess.IV2019

MGBPv2: Scaling Up Multi-Grid Back-Projection Networks

Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu +1

Here, we describe our solution for the AIM-2019 Extreme Super-Resolution Challenge, where we won the 1st place in terms of perceptual quality (MOS) similar to the ground truth and…

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