Srimat T. Chakradhar

Computer Vision and Pattern Recognition · 1994–2013

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #14,124 of 21,575 by trust here, #8,952 by citations
• Hardware and Architecture — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Srimat T. Chakradhar trusts overall

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

1. Yann LeCun
2. Navneet Dalal
3. Jim Mutch
4. David G. Lowe
5. Honglak Lee
6. Thomas Serre
7. Rajat Raina
8. Yoshua Bengio
9. Clément Farabet
10. Andrew Y. Ng

Who trusts Srimat T. Chakradhar overall

1. Yongming Shen
2. Michael Ferdman
3. Ahmad Shawahna
4. Peter Milder
5. Manoj Alwani
6. Swagath Venkataramani
7. Qianru Zhang
8. Huimin Li
9. Clément Farabet
10. Hardik Sharma

Papers from Srimat T. Chakradhar's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Histograms of oriented gradients for human detection
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A dynamically configurable coprocessor for convolutional neural networks (2010) — 387 citations
• Analysis and characterization of inherent application resilience for approximate computing (2013) — 532 citations
• Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission (2012) — 59 citations
• First-order versus second-order single-layer recurrent neural networks (1994)