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Weihao Yuan

20 papers hereh-index 151.1k citations24 works total

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

author position
  • first author8
  • middle author10
  • last author2

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.RO7
  • cs.AI1
same name
  • Weihao Yuan — 26 papers, h 13
  • Weihao Yuan — 1 paper, h 0
  • Weihao Yuan — 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

activity
20182026
most citedCluster Contrast for Unsupervised Person Re-Identification

59 citations · 220 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 8 cited

MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion

Weihao Yuan, Rui Fan, Michael Yu Wang +1

We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation. Unlike multi-view stereo with images captured at unconstra…

cs.CV2021★ 3 cited

Stereo Matching by Self-supervision of Multiscopic Vision

Weihao Yuan, Yazhan Zhang, Bingkun Wu +4

Self-supervised learning for depth estimation possesses several advantages over supervised learning. The benefits of no need for ground-truth depth, online fine-tuning, and better…

cs.CV2021★ 2 cited

DRO: Deep Recurrent Optimizer for Video to Depth

Xiaodong Gu, Weihao Yuan, Zuozhuo Dai +4

There are increasing interests of studying the video-to-depth (V2D) problem with machine learning techniques. While earlier methods directly learn a mapping from images to depth ma…

cs.CV2021★ 59 cited

Cluster Contrast for Unsupervised Person Re-Identification

Zuozhuo Dai, Guangyuan Wang, Weihao Yuan +3

State-of-the-art unsupervised re-ID methods train the neural networks using a memory-based non-parametric softmax loss. Instance feature vectors stored in memory are assigned pseud…

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