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C. Jiang

16 papers hereh-index 152.1k citations27 works total

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

author position
  • first author7
  • middle author7
  • last author1

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.GR2
  • cs.LG1
  • cs.RO1
  • physics.comp-ph1
same name
  • C. Jiang — 214 papers, h 29
  • C. Jiang — 92 papers, h 104
  • C. Jiang — 54 papers, h 65
  • C. Jiang — 18 papers, h 3
  • C. Jiang — 10 papers, h 11
  • C. Jiang — 7 papers, h 17

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
20172026
most citedSpherical CNNs on Unstructured Grids

66 citations · 112 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.GR2020★ 3 cited

MeshODE: A Robust and Scalable Framework for Mesh Deformation

Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng +2

We present MeshODE, a scalable and robust framework for pairwise CAD model deformation without prespecified correspondences. Given a pair of shapes, our framework provides a novel…

cs.LG2020★ 1 cited

MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli +6

We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs. Whil…

cs.CV2020

Local Implicit Grid Representations for 3D Scenes

Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia +3

Shape priors learned from data are commonly used to reconstruct 3D objects from partial or noisy data. Yet no such shape priors are available for indoor scenes, since typical 3D au…

cs.CV2020

Adversarial Texture Optimization from RGB-D Scans

Jingwei Huang, Justus Thies, Angela Dai +5

Realistic color texture generation is an important step in RGB-D surface reconstruction, but remains challenging in practice due to inaccuracies in reconstructed geometry, misalign…

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