Bharat Lal Bhatnagar
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 266 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 131 citations into it; #6,176 of 21,575 by trust here, #10,154 by citations
- Computational Mechanics — 72 citations into it; #1,961 of 10,001 by trust here, #3,029 by citations
- 3D Vision & Pose — 29 citations into it
- Control and Systems Engineering — 29 citations into it
- Computer Graphics and Computer-Aided Design — 19 citations into it; #1,154 of 1,584 by trust here, #1,116 by citations
- Aerospace Engineering — 15 citations into it
- Geology — 9 citations into it
Whom Bharat Lal Bhatnagar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thiemo Alldieck
- Gerard Pons-Moll
- Michael J. Black
- Julian Chibane
- Marcus A. Magnor
- Christian Theobalt
- Chao Zhang
- Olga Sorkine-Hornung
- Hanbyul Joo
- Geoffrey E. Hinton
Who trusts Bharat Lal Bhatnagar overall
- Julian Chibane
- Gerard Pons-Moll
- Yuliang Xiu
- Zerong Zheng
- Shunsuke Saito
- Jinlong Yang
- Sida Peng
- Thiemo Alldieck
- Qianli Ma
- Cristian Sminchisescu
Papers from Bharat Lal Bhatnagar's perspective
Ordered by how strongly the researchers Bharat Lal Bhatnagar 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Et al
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning to Reconstruct People in Clothing From a Single RGB Camera (2019) — 356 citations
- Multi-Garment Net: Learning to Dress 3D People From Images (2019) — 465 citations
- Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction (2020) — 220 citations
- BEHAVE: Dataset and Method for Tracking Human Object Interactions (2022) — 317 citations