Wei-Chiu Ma
Computer Vision and Pattern Recognition · 2016–2024
A researcher in the Science corpus: 8 papers; trusts 780 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 279 citations into it; #15,904 of 21,575 by trust here, #4,690 by citations
- Artificial Intelligence — 89 citations into it; #31,474 of 35,345 by trust here, #16,471 by citations
- Aerospace Engineering — 52 citations into it
- Computer Graphics and Computer-Aided Design — 49 citations into it
- Computational Mechanics — 46 citations into it
- Evaluation & Benchmarks — 33 citations into it
- 3D Vision & Pose — 25 citations into it
- Model Architectures — 23 citations into it
Whom Wei-Chiu Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- David G. Lowe
- Karen Simonyan
Who trusts Wei-Chiu Ma overall
- Nicholas Rhinehart
- Yuning Chai
- Andrey Rudenko
- Kris M. Kitani
- Matthew Tancik
- Benjamin Sapp
- Ben Mildenhall
- Wenjing Bian
Papers from Wei-Chiu Ma's perspective
Ordered by how strongly the researchers Wei-Chiu Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep Parametric Continuous Convolutional Neural Networks (2018) — 494 citations
- BARF: Bundle-Adjusting Neural Radiance Fields (2021) — 894 citations
- PolyTransform: Deep Polygon Transformer for Instance Segmentation (2019) — 205 citations
- Forecasting Interactive Dynamics of Pedestrians with Fictitious Play (2016) — 166 citations
- LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World (2020) — 300 citations
- DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (2019) — 310 citations
- BLINK: Multimodal Large Language Models Can See but Not Perceive (2024) — 543 citations
- UniSim: A Neural Closed-Loop Sensor Simulator (2023) — 372 citations