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Yuxiao Wang

5 papers hereh-index 4163 citations5 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 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Yuxiao Wang — 10 papers, h 6
  • Yuxiao Wang — 7 papers, h 6
  • Yuxiao Wang — 2 papers, h 2
  • Yuxiao Wang — 2 papers, h 1
  • Yuxiao Wang — 1 paper
  • Yuxiao Wang — 1 paper, 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
20202026
most citedView-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

19 citations · 21 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Video Encoders Built on Image Representations

Jusheng Zhang, Wenhao Wang, Longqi Cai +3

The design of a video encoder determines when frames begin to interact and which frame-specific visual evidence remains accessible to the language model. Native video pathways coup…

cs.CV2022

Improving Zero-shot Generalization and Robustness of Multi-modal Models

Yunhao Ge, Jie Ren, Andrew Gallagher +6

Multi-modal image-text models such as CLIP and LiT have demonstrated impressive performance on image classification benchmarks and their zero-shot generalization ability is particu…

cs.CV2020★ 2 cited

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

Long Zhao, Yuxiao Wang, Jiaping Zhao +7

We introduce a novel representation learning method to disentangle pose-dependent as well as view-dependent factors from 2D human poses. The method trains a network using cross-vie…

cs.CV2020★ 19 cited

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

Ting Liu, Jennifer J. Sun, Long Zhao +6

Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people. However, cameras generally capture human poses in 2D as images and videos…

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