Soumyadip Sengupta
Computer Vision and Pattern Recognition · 2016–2023
A researcher in the Science corpus: 5 papers; trusts 381 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 120 citations into it; #10,621 of 21,575 by trust here, #6,206 by citations
- Signal Processing — 24 citations into it; #6,846 of 7,572 by trust here, #2,400 by citations
- Artificial Intelligence — 19 citations into it
- Generative Models — 18 citations into it
- Computer Graphics and Computer-Aided Design — 16 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Soumyadip Sengupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Soumyadip Sengupta overall
- Zhengqin Li
- Anh Tuan Tran
- Xi Yin
- Shangzhe Wu
- Ning Yu
- Yao Feng
- Hao Zhou
- Minchul Kim
- Anil K. Jain
- Yichun Shi
Papers from Soumyadip Sengupta's perspective
Ordered by how strongly the researchers Soumyadip Sengupta trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Frontal to profile face verification in the wild (2016) — 842 citations
- SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild' (2017) — 343 citations
- Universal Guidance for Diffusion Models (2023) — 495 citations
- Neural Inverse Rendering of an Indoor Scene From a Single Image (2019) — 178 citations
- Real-Time High-Resolution Background Matting (2020) — 306 citations