Ignas Budvytis

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #8,619 of 21,575 by trust here, #12,992 by citations

Whom Ignas Budvytis trusts overall

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

1. Christoph Lassner
2. Ross B. Girshick
3. Federica Bogo
4. Karen Simonyan

Who trusts Ignas Budvytis overall

1. Angjoo Kanazawa
2. Georgios Pavlakos
3. Michael J. Black
4. Nikos Kolotouros
5. Muhammed Kocabas
6. Yucheng Chen
7. Dominik Kulon
8. Zerong Zheng
9. Liuhao Ge

Papers from Ignas Budvytis's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Indirect deep structured learning for 3D human body shape and pose prediction (2017) — 156 citations