Venugopal Govindaraju
Computer Vision and Pattern Recognition · 2005–2016
A researcher in the Science corpus: 9 papers; trusts 202 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #6,874 of 21,575 by trust here, #11,498 by citations
- Artificial Intelligence — 33 citations into it; #10,501 of 35,345 by trust here, #13,163 by citations
- Signal Processing — 33 citations into it; #1,288 of 7,572 by trust here, #1,904 by citations
- Information Systems — 18 citations into it; #1,433 of 8,771 by trust here, #2,406 by citations
- Computer Networks and Communications — 10 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 5 citations into it; #1,233 of 2,601 by trust here, #1,419 by citations
Whom Venugopal Govindaraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Geoffrey E. Hinton
- Kaiming He
- Ivan Laptev
- Yoshua Bengio
- Alex Krizhevsky
- Karthik Nandakumar
- Yann LeCun
- Maja Pusara
- Davide Maltoni
Who trusts Venugopal Govindaraju overall
- Jianjiang Feng
- Battista Biggio
- Zahid Akhtar
- Ricardo Nagel Rodrigues
- Giorgio Fumera
- Ivana Chingovska
- Jamshed Memon
- Sitao Xiang
- Emanuela Marasco
- Gian Luca Marcialis
Papers from Venugopal Govindaraju's perspective
Ordered by how strongly the researchers Venugopal Govindaraju 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks (2016) — 131 citations
- A minutia-based partial fingerprint recognition system (2005) — 313 citations
- A temporal Bayesian model for classifying, detecting and localizing activities in video sequences (2012) — 58 citations
- Evaluation of biometric spoofing in a multimodal system (2010) — 64 citations
- Synthetic handwritten CAPTCHAs (2009) — 57 citations
- Robustness of multimodal biometric fusion methods against spoof attacks (2009) — 83 citations
- Behavioural biometrics: a survey and classification (2008) — 354 citations
- Fingerprint enhancement using STFT analysis (2007) — 446 citations
- Offline Arabic handwriting recognition: a survey (2006) — 561 citations