Vishal Monga
Computer Vision and Pattern Recognition · 2006–2019
A researcher in the Science corpus: 4 papers; trusts 230 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 85 citations into it
- Artificial Intelligence — 35 citations into it
- Media Technology — 33 citations into it
- Computational Mechanics — 20 citations into it
- Model Architectures — 17 citations into it
- Optimization & Training — 11 citations into it
- Generative Models — 10 citations into it
- Signal Processing — 8 citations into it
Whom Vishal Monga trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yurii E. Nesterov
- L. Eon Bottou
- Ilya Sutskever
- Jimmy Ba
Who trusts Vishal Monga overall
- Khaled Ben Letaief
- Savvas Zannettou
- Weiyang Liu
- Tianlong Chen
- Fahad Shamshad
- Yuanming Shi
- Rongmei Lin
- Salman Hameed Khan
Papers from Vishal Monga's perspective
Ordered by how strongly the researchers Vishal Monga 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing (2019) — 1,382 citations
- Robust and Secure Image Hashing via Non-Negative Matrix Factorizations (2007) — 295 citations
- Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs (2006) — 377 citations