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Di Huang

5 papers hereh-index 6356 citations6 works total

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

author position
  • first author2
  • middle author3

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

fields
  • cs.CV4
  • cs.RO1
same name
  • Di Huang — 44 papers, h 20
  • Di Huang — 28 papers, h 10
  • Di Huang — 20 papers, h 39
  • Di Huang — 16 papers, h 12
  • Di Huang — 16 papers, h 6
  • Di Huang — 14 papers, h 12

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 citedOnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models

29 citations · 48 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 29 cited

OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models

Xingyi He, Jiaming Sun, Yuang Wang +3

We propose a new method for object pose estimation without CAD models. The previous feature-matching-based method OnePose has shown promising results under a one-shot setting which…

cs.CV2023★ 4 cited

Ponder: Point Cloud Pre-training via Neural Rendering

Di Huang, Sida Peng, Tong He +3

We propose a novel approach to self-supervised learning of point cloud representations by differentiable neural rendering. Motivated by the fact that informative point cloud featur…

cs.CV2022

Reconstructing Hand-Held Objects from Monocular Video

Di Huang, Xiaopeng Ji, Xingyi He +5

This paper presents an approach that reconstructs a hand-held object from a monocular video. In contrast to many recent methods that directly predict object geometry by a trained n…

cs.CV2022★ 15 cited

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

Xiangyu Zhu, Chang Yu, Di Huang +3

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitud…

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