Sharath Pankanti
Computer Vision and Pattern Recognition · 2000–2019
A researcher in the Science corpus: 17 papers; trusts 286 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 129 citations into it; #4,803 of 21,575 by trust here, #4,658 by citations
- Artificial Intelligence — 74 citations into it
- Signal Processing — 67 citations into it; #661 of 7,572 by trust here, #699 by citations
- Information Systems — 49 citations into it; #721 of 8,771 by trust here, #1,086 by citations
- Representation & Self-Supervised Learning — 24 citations into it
- Aerospace Engineering — 9 citations into it
- Privacy & Security — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Sharath Pankanti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Salil Prabhakar
- Dario Maio
- David G. Lowe
- Ari Juels
- Umut Uludag
- Davide Maltoni
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
Who trusts Sharath Pankanti overall
- Anil K. Jain
- Jianjiang Feng
- Arun A. Ross
- Jinwei Gu
- Walter J. Scheirer
- Karthik Nandakumar
- Christian Rathgeb
- Umut Uludag
- Debnath Bhattacharyya
- Abhishek Nagar
Papers from Sharath Pankanti's perspective
Ordered by how strongly the researchers Sharath Pankanti 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection (2018) — 355 citations
- Deep learning ensembles for melanoma recognition in dermoscopy images (2016) — 600 citations
- Towards Deep Neural Network Training on Encrypted Data (2019) — 149 citations
- RepMet: Representative-based metric learning for classification and one-shot object detection (2018) — 39 citations
- Adaptive as-natural-as-possible image stitching (2015) — 364 citations
- Biometrics: Personal Identification in Networked Society (2013) — 1,238 citations
- Fingerprint-Based Fuzzy Vault: Implementation and Performance (2007) — 631 citations
- Appearance models for occlusion handling (2006) — 346 citations
- Biometrics: a tool for information security (2006) — 1,245 citations
- Enabling video privacy through computer vision (2005) — 234 citations
- Fuzzy Vault for Fingerprints (2005) — 413 citations
- Biometric cryptosystems: issues and challenges (2004) — 1,026 citations
- Biometrics: a grand challenge (2004) — 374 citations
- Biometric Recognition: Security and Privacy Concerns (2003) — 608 citations
- Guide to Biometrics (2003) — 714 citations
- On the individuality fingerprints (2001) — 713 citations
- Filterbank-based fingerprint matching (2000) — 1,249 citations