Nirmalya Roy
Computer Vision and Pattern Recognition · 2007–2018
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #15,539 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 20 citations into it; #25,341 of 35,345 by trust here, #25,809 by citations
- Biomedical Engineering — 12 citations into it
- Computer Networks and Communications — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Signal Processing — 6 citations into it; #5,345 of 7,572 by trust here, #6,591 by citations
- Transportation — 6 citations into it
Whom Nirmalya Roy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Matthew D. Zeiler
- Billur Barshan
- Mi Zhang
- Attila Reiss
- Piyush Kumar Gupta
- Geoffrey E. Hinton
- Sinno Jialin Pan
- Alex Krizhevsky
- Jennifer R. Kwapisz
Who trusts Nirmalya Roy overall
Papers from Nirmalya Roy's perspective
Ordered by how strongly the researchers Nirmalya Roy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Recent trends in machine learning for human activity recognition—A survey (2018) — 300 citations
- Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation (2018) — 138 citations
- Precision: Privacy Enhanced Context-Aware Information Fusion in Ubiquitous Healthcare (2007) — 13 citations