Gul Varol
Computer Vision and Pattern Recognition · 2016–2022
A researcher in the Science corpus: 9 papers; trusts 1,073 researchers and is trusted by 2,307 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 362 citations into it; #813 of 21,575 by trust here, #1,338 by citations
- Artificial Intelligence — 108 citations into it; #3,744 of 35,345 by trust here, #3,859 by citations
- Control and Systems Engineering — 85 citations into it; #810 of 8,257 by trust here, #354 by citations
- Human-Computer Interaction — 67 citations into it
- 3D Vision & Pose — 54 citations into it
- Evaluation & Benchmarks — 49 citations into it
- Computational Mechanics — 47 citations into it; #8,560 of 10,001 by trust here, #3,463 by citations
- Multimodal Learning — 43 citations into it; #491 of 1,211 by trust here, #488 by citations
Whom Gul Varol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Kaiming He
- Andrew Zisserman
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
Who trusts Gul Varol overall
- Limin Wang
- Rohit Girdhar
- Christoph Feichtenhofer
- Thiemo Alldieck
- Gyeongsik Moon
- Deva Ramanan
- Chen Sun
- Zerong Zheng
- Cordelia Schmid
- Georgios Pavlakos
Papers from Gul Varol's perspective
Ordered by how strongly the researchers Gul Varol 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding (2016) — 1,422 citations
- Long-Term Temporal Convolutions for Action Recognition (2016) — 951 citations
- Learning from Synthetic Humans (2017) — 1,053 citations
- Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval (2021) — 1,620 citations
- Learning Joint Reconstruction of Hands and Manipulated Objects (2019) — 658 citations
- BodyNet: Volumetric Inference of 3D Human Body Shapes (2018) — 456 citations
- Action-Conditioned 3D Human Motion Synthesis with Transformer VAE (2021) — 716 citations
- TEMOS: Generating diverse human motions from textual descriptions (2022) — 627 citations
- Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos (2021) — 84 citations