Sailik Sengupta

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Generative Models — 33 citations into it
• Artificial Intelligence — 25 citations into it
• Social Psychology — 5 citations into it

Whom Sailik Sengupta trusts overall

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

1. Malte Helmert
2. Miquel Ramírez
3. Raja Parasuraman
4. Maria Fox
5. Richard Howey
6. Hector Geffner
7. Ian J. Goodfellow
8. Gary Klein
9. Navneet Dalal
10. Individualized Treat

Who trusts Sailik Sengupta overall

1. Sarath Sreedharan

Papers from Sailik Sengupta's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Histograms of oriented gradients for human detection
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses (2020) — 40 citations
• RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning (2017) — 42 citations