Yixin Zhu

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 7 papers; trusts 576 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 285 citations into it; #18,733 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 172 citations into it; #30,492 of 35,345 by trust here, #19,018 by citations
• Computational Mechanics — 54 citations into it
• Aerospace Engineering — 46 citations into it
• 3D Vision & Pose — 30 citations into it
• Developmental and Educational Psychology — 26 citations into it
• Probabilistic & Bayesian Methods — 22 citations into it
• Model Architectures — 14 citations into it

Whom Yixin Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. David G. Lowe
8. Yann LeCun
9. Ross B. Girshick
10. Andrew Zisserman

Who trusts Yixin Zhu overall

1. Tyler L. Hayes

Papers from Yixin Zhu's perspective

Ordered by how strongly the researchers Yixin Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense (2019) — 131 citations
• RAVEN: A Dataset for Relational and Analogical Visual REasoNing (2019) — 404 citations
• Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars (2017) — 86 citations
• Diffusion-based Generation, Optimization, and Planning in 3D Scenes (2023) — 334 citations
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020) — 152 citations
• LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities (2020) — 77 citations
• A moving least squares material point method with displacement discontinuity and two-way rigid body coupling (2018) — 401 citations