Tat-Jen Cham

Computer Vision and Pattern Recognition · 2015–2024

A researcher in the Science corpus: 8 papers; trusts 845 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 260 citations into it; #12,971 of 21,575 by trust here, #7,340 by citations
• Generative Models — 76 citations into it
• Artificial Intelligence — 54 citations into it
• Computer Graphics and Computer-Aided Design — 34 citations into it
• Computational Mechanics — 24 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Aerospace Engineering — 21 citations into it
• Media Technology — 20 citations into it

Whom Tat-Jen Cham trusts overall

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

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

Who trusts Tat-Jen Cham overall

1. Håkon Hukkelås
2. Ziyu Wan
3. Lisai Zhang
4. Tong Zhou
5. Avisek Lahiri
6. Jingyuan Li
7. Zongyu Guo
8. Yuheng Li

Papers from Tat-Jen Cham's perspective

Ordered by how strongly the researchers Tat-Jen Cham 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Pluralistic Image Completion (2019) — 503 citations
• Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks (2019) — 520 citations
• Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition (2015) — 145 citations
• TFill: Image Completion via a Transformer-Based Architecture (2021) — 31 citations
• AgileGAN (2021) — 60 citations
• A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data (2015) — 35 citations
• MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images (2024) — 571 citations
• Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling (2015) — 26 citations