Robert W. Sumner

Computer Vision and Pattern Recognition · 2005–2023

A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it; #8,751 of 21,575 by trust here, #7,750 by citations
• Computational Mechanics — 38 citations into it; #1,469 of 10,001 by trust here, #1,651 by citations
• Aerospace Engineering — 18 citations into it; #1,908 of 6,421 by trust here, #2,921 by citations
• Computer Graphics and Computer-Aided Design — 15 citations into it; #404 of 1,584 by trust here, #329 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Robert W. Sumner trusts overall

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

1. Michael E. Tipping
2. Mario Botsch
3. Olga Sorkine-Hornung
4. Marc Alexa
5. Charles M. Bishop
6. Daniel Cohen-Or
7. Yaron Lipman
8. Richard M. Murray
9. Li Zhang
10. Leif Kobbelt

Who trusts Robert W. Sumner overall

1. Olga Sorkine-Hornung
2. Thomas Whelan
3. Hao Li
4. Nathan Hughes
5. Zerong Zheng
6. Yun Chang
7. Qi-Xing Huang
8. Richard A. Newcombe
9. Dongping Li
10. Karthik Raveendran

Papers from Robert W. Sumner's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• High-quality passive facial performance capture using anchor frames (2011) — 370 citations
• Global Correspondence Optimization for Non‐Rigid Registration of Depth Scans (2008) — 511 citations
• OpenMask3D: Open-Vocabulary 3D Instance Segmentation (2023) — 344 citations
• Embedded deformation for shape manipulation (2007) — 690 citations
• Mesh-based inverse kinematics (2005) — 326 citations