Aniket Bera

Computer Vision and Pattern Recognition · 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 Aniket Bera trusts overall

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

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

Papers from Aniket Bera's perspective

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

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

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