Rohan Chandra

Computer Vision and Pattern Recognition · with Bera · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Artificial Intelligence — 14 citations into it
• Automotive Engineering — 6 citations into it
• Generative Models — 5 citations into it
• Ocean Engineering — 5 citations into it
• Signal Processing — 5 citations into it

Whom Rohan Chandra trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Ilya Sutskever
6. Nachiket Deo
7. Yoshua Bengio
8. Alex Krizhevsky
9. Yann LeCun
10. Pete Trautman

Who trusts Rohan Chandra overall

1. Yanjun Huang
2. Yuexin Ma

Papers from Rohan Chandra's perspective

Ordered by how strongly the researchers Rohan Chandra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues (2020) — 363 citations
• TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions (2018) — 306 citations