Trisha Mittal

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 5 citations into it

Whom Trisha Mittal trusts overall

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

1. Huy Hoang Le Nguyen
2. Yuezun Li
3. Theodoros Giannakopoulos
4. Tadas Baltrusaitis
5. Pavel Korshunov
6. David Guera
7. Sumit Chopra
8. Junichi Yamagishi
9. Amir Zadeh
10. Xin Yang

Who trusts Trisha Mittal overall

1. Sohail Ahmed Khan
2. Hasam Khalid
3. Hang Dai
4. Shahroz Tariq

Papers from Trisha Mittal's perspective

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

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

Their papers

• Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues (2020) — 363 citations