Balakrishnan Varadarajan
Computer Vision and Pattern Recognition · 2008–2021
A researcher in the Science corpus: 6 papers; trusts 87 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #16,014 of 21,575 by trust here, #3,875 by citations
- Artificial Intelligence — 53 citations into it; #8,038 of 35,345 by trust here, #3,957 by citations
Whom Balakrishnan Varadarajan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- X. Zhang
Who trusts Balakrishnan Varadarajan overall
- Chia-ying Lee
- Emmanuel Dupoux
- Aren Jansen
- Herman Kamper
- Leonardo Badino
- Benjamin van Niekerk
- James R. Glass
- Alexei Baevski
- T. Ansari
- David F. Harwath
Papers from Balakrishnan Varadarajan's perspective
Ordered by how strongly the researchers Balakrishnan Varadarajan 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- YouTube-8M: A Large-Scale Video Classification Benchmark (2016) — 1,406 citations
- TNT: Target-driveN Trajectory Prediction (2020) — 722 citations
- MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction (2021) — 440 citations
- A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition (2013) — 113 citations
- Unsupervised Learning of Acoustic Sub-word Units (2008) — 106 citations
- JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling (2014)