Balazs Kovacs

Computer Vision and Pattern Recognition · with Bala · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 127 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it; #15,277 of 21,575 by trust here, #13,542 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Balazs Kovacs trusts overall

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

1. Sean Bell
2. Rob Fergus
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Yangqing Jia
7. David Eigen
8. Ross B. Girshick
9. Kaiming He
10. Yoshua Bengio

Who trusts Balazs Kovacs overall

1. Zhengqi Li
2. Noah Snavely
3. Xintong Han
4. Mike Roberts
5. Flavian Vasile

Papers from Balazs Kovacs's perspective

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

Their papers

• Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences (2015) — 333 citations
• Intrinsic Decompositions for Image Editing (2017) — 101 citations
• Shading Annotations in the Wild (2017) — 71 citations