Abhishek Anand
Computer Vision and Pattern Recognition · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 168 researchers and is trusted by 134 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it; #2,975 of 21,575 by trust here, #5,205 by citations
- Artificial Intelligence — 24 citations into it
- Aerospace Engineering — 16 citations into it; #3,017 of 6,421 by trust here, #2,193 by citations
- 3D Vision & Pose — 6 citations into it; #231 of 689 by trust here, #268 by citations
- Natural Language Processing — 6 citations into it
- Optimization & Training — 6 citations into it
- Media Technology — 5 citations into it
Whom Abhishek Anand trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ashutosh Saxena
- Thorsten Joachims
- B. Taskar
- Thomas Finley
- Derek Hoiem
- Andrew Y. Ng
- Antonio Torralba
- John D. Lafferty
- Daphne Koller
- Carsten Rother
Who trusts Abhishek Anand overall
- Hema Swetha Koppula
- Ashutosh Saxena
- Yun Jiang
- Loic Landrieu
- Jaeyong Sung
- Shuran Song
- Liefeng Bo
- Jianxiong Xiao
- Áron Monszpart
- Kevin Lai
Papers from Abhishek Anand's perspective
Ordered by how strongly the researchers Abhishek Anand trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Semantic Labeling of 3D Point Clouds for Indoor Scenes (2011) — 424 citations
- Contextually guided semantic labeling and search for three-dimensional point clouds (2013) — 200 citations
- Contextually Guided Semantic Labeling and Search for 3D Point Clouds (2011) — 79 citations