◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yi Yang

4 papers hereh-index 2122 citations6 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • cs.LG1
same name
  • Yi Yang — 70 papers, h 19
  • Yi Yang — 61 papers, h 52
  • Yi Yang — 50 papers, h 58
  • Yi Yang — 41 papers, h 19
  • Yi Yang — 35 papers, h 25
  • Yi Yang — 34 papers, h 40

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 citedLook, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao +3

3D-aware image synthesis aims to generate images of objects from multiple views by learning a 3D representation. However, one key challenge remains: existing approaches lack geomet…

cs.AI2021

Divide and Rule: Recurrent Partitioned Network for Dynamic Processes

Qianyu Feng, Bang Zhang, Yi Yang

In general, many dynamic processes are involved with interacting variables, from physical systems to sociological analysis. The interplay of components in the system can give rise…

cs.LG2021

OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation

Qianyu Feng, Linchao Zhu, Bang Zhang +2

Contemporary data-driven methods are typically fed with full supervision on large-scale datasets which limits their applicability. However, in the actual systems with limitations s…

cs.CV2021★ 1 cited

Look, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data

Qianyu Feng, Yawei Luo, Keyang Luo +1

Inferring the stereo structure of objects in the real world is a challenging yet practical task. To equip deep models with this ability usually requires abundant 3D supervision whi…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.