Harshit Gupta

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #13,414 of 21,575 by trust here, #8,205 by citations
• Computational Mechanics — 18 citations into it
• Computer Networks and Communications — 15 citations into it; #6,152 of 9,886 by trust here, #2,539 by citations
• Information Systems — 8 citations into it; #5,398 of 8,771 by trust here, #3,540 by citations
• Signal Processing — 5 citations into it

Whom Harshit Gupta trusts overall

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

1. Yann LeCun
2. Joel A. Tropp
3. Karol Gregor
4. Patrick L. Combettes
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Heinz H. Bauschke
8. Rodrigo Neves Calheiros
9. Idris A. Elbakri
10. Patrick Putzky

Who trusts Harshit Gupta overall

1. Cheol-Ho Hong
2. Mohit Taneja
3. Jun Shu
4. Enzo Baccarelli
5. Shreshth Tuli
6. Yan Yang
7. Pawani Porambage
8. Blesson Varghese
9. Greg Ongie
10. Ashkan Yousefpour

Papers from Harshit Gupta's perspective

Ordered by how strongly the researchers Harshit Gupta 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction (2017) — 397 citations
• iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments (2016) — 1,559 citations
• Fog Computing: Principles, Architectures, and Applications (2016) — 478 citations