Ankan Bansal
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 398 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 79 citations into it; #9,167 of 21,575 by trust here, #7,176 by citations
- Artificial Intelligence — 35 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Signal Processing — 15 citations into it
- Natural Language Processing — 6 citations into it
Whom Ankan Bansal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Andrew Zisserman
Who trusts Ankan Bansal overall
- Shafin Rahman
- Xiuye Gu
- Pengkai Zhu
- Salman Hameed Khan
- Weicheng Kuo
- Eli Schwartz
- Xingyi Zhou
- S. Gadre
- Jiankang Deng
- Tsung-Yi Lin
Papers from Ankan Bansal's perspective
Ordered by how strongly the researchers Ankan Bansal 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Zero-Shot Object Detection (2018) — 418 citations
- UMDFaces: An annotated face dataset for training deep networks (2016) — 232 citations