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researcher

Yinda Zhang

65 papers hereh-index 3812.6k citations70 works total

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

author position
  • first author5
  • middle author43
  • last author17

Across the 65 of 65 papers where every author was matched, so the position is known.

fields
  • cs.CV63
  • cs.HC1
  • eess.IV1
same name
  • Yinda Zhang — 6 papers, h 10
  • Yinda Zhang — 2 papers, h 5
  • Yinda Zhang — 1 paper
  • Yinda Zhang — 1 paper, h 0
  • Yinda Zhang — 1 paper, h 9

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
20152026
most citedLSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

1.3k citations · 2.6k across the 63 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 4 cited

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Xingkui Wei, Yinda Zhang, Zhuwen Li +2

Structure from motion (SfM) is an essential computer vision problem which has not been well handled by deep learning. One of the promising trends is to apply explicit structural co…

cs.CV2019★ 8 cited

Neural Point Cloud Rendering via Multi-Plane Projection

Peng Dai, Yinda Zhang, Zhuwen Li +2

We present a new deep point cloud rendering pipeline through multi-plane projections. The input to the network is the raw point cloud of a scene and the output are image or image s…

cs.CV2019★ 19 cited

DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

Shaohui Liu, Yinda Zhang, Songyou Peng +3

We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance funct…

cs.CV2019★ 9 cited

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

Chao Wen, Yinda Zhang, Zhuwen Li +1

We study the problem of shape generation in 3D mesh representation from a few color images with known camera poses. While many previous works learn to hallucinate the shape directl…

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