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researcher

B. Liu

8 papers hereh-index 7725.7k citations1.3k works total

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

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.MM1
  • math.AP1
  • physics.acc-ph1
  • stat.ME1
same name
  • B. Liu — 150 papers, h 6
  • B. Liu — 107 papers, h 3
  • B. Liu — 73 papers, h 5
  • B. Liu — 56 papers, h 58
  • B. Liu — 42 papers, h 10
  • B. Liu — 34 papers, h 24

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
20242026
most citedCausal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

5 citations · 7 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026★ 5 cited

Causal Clothes-Invariant Feature Learning for Cloth-Changing Person Re-ID

Xulin Li, Yan Lu, Bin Liu +6

In cloth-changing person re-identification (CCReID), it is critical to learn clothes-invariant feature, which can provide discriminative ID features that remain robust against clot…

cs.CV2026★ 2 cited

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Xulin Li, Yan Lu, Bin Liu +7

Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and…

cs.CV2025

IRNet: Iterative Refinement Network for Noisy Partial Label Learning

Zheng Lian, Mingyu Xu, Lan Chen +4

Partial label learning (PLL) is a typical weakly supervised learning, where each sample is associated with a set of candidate labels. Its basic assumption is that the ground-truth…

cs.CV2024

Multi-spectral Class Center Network for Face Manipulation Detection and Localization

Changtao Miao, Qi Chu, Zhentao Tan +7

As deepfake content proliferates online, advancing face manipulation forensics has become crucial. To combat this emerging threat, previous methods mainly focus on studying how to…

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