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researcher

Hao Li

13 papers hereh-index 225.2k citations25 works total

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

author position
  • middle author2
  • last author9

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.GR2
  • cs.LG1
same name
  • Hao Li — 61 papers, h 61
  • Hao Li — 54 papers, h 89
  • Hao Li — 34 papers, h 37
  • Hao Li — 29 papers, h 10
  • Hao Li — 25 papers, h 10
  • Hao Li — 17 papers, h 5

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
20182020
most citedLearning to Infer Implicit Surfaces without 3D Supervision

88 citations · 291 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 88 cited

Learning to Infer Implicit Surfaces without 3D Supervision

Shichen Liu, Shunsuke Saito, Weikai Chen +1

Recent advances in 3D deep learning have shown that it is possible to train highly effective deep models for 3D shape generation, directly from 2D images. This is particularly inte…

cs.CV2019★ 6 cited

Learning Perspective Undistortion of Portraits

Yajie Zhao, Zeng Huang, Tianye Li +6

Near-range portrait photographs often contain perspective distortion artifacts that bias human perception and challenge both facial recognition and reconstruction techniques. We pr…

cs.CV2019★ 78 cited

Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

Shichen Liu, Weikai Chen, Tianye Li +1

Rendering is the process of generating 2D images from 3D assets, simulated in a virtual environment, typically with a graphics pipeline. By inverting such renderer, one can think o…

cs.CV2019★ 7 cited

SiCloPe: Silhouette-Based Clothed People

Ryota Natsume, Shunsuke Saito, Zeng Huang +4

We introduce a new silhouette-based representation for modeling clothed human bodies using deep generative models. Our method can reconstruct a complete and textured 3D model of a…

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