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T. Hu

University of Maryland, College Park

6 papers hereh-index 313.6k citations157 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • physics.ins-det1
  • stat.ME1
affiliations
  • University of Maryland, College Park
Homepage
same name
  • T. Hu — 151 papers, h 51
  • T. Hu — 133 papers, h 30
  • T. Hu — 89 papers, h 5
  • T. Hu — 74 papers
  • T. Hu — 36 papers, h 9
  • T. Hu — 33 papers

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 citedHuman-Object Interaction Detection via Disentangled Transformer

5 citations · 10 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 5 cited

Human-Object Interaction Detection via Disentangled Transformer

Desen Zhou, Zhichao Liu, Jian Wang +4

Human-Object Interaction Detection tackles the problem of joint localization and classification of human object interactions. Existing HOI transformers either adopt a single decode…

cs.CV2022

MixFormer: Mixing Features across Windows and Dimensions

Qiang Chen, Qiman Wu, Jian Wang +5

While local-window self-attention performs notably in vision tasks, it suffers from limited receptive field and weak modeling capability issues. This is mainly because it performs…

cs.CV2019★ 1 cited

Learning to Generate Dense Point Clouds with Textures on Multiple Categories

Tao Hu, Geng Lin, Zhizhong Han +1

3D reconstruction from images is a core problem in computer vision. With recent advances in deep learning, it has become possible to recover plausible 3D shapes even from single RG…

cs.CV2019

3D Shape Completion with Multi-view Consistent Inference

Tao Hu, Zhizhong Han, Matthias Zwicker

3D shape completion is important to enable machines to perceive the complete geometry of objects from partial observations. To address this problem, view-based methods have been pr…

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