Swalpa Kumar Roy
Media Technology · 2019–2023
A researcher in the Science corpus: 5 papers; trusts 209 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 148 citations into it; #2,265 of 3,621 by trust here, #1,923 by citations
- Computer Vision and Pattern Recognition — 136 citations into it
- Atmospheric Science — 66 citations into it
- Artificial Intelligence — 65 citations into it
- Model Architectures — 39 citations into it
- Analytical Chemistry — 21 citations into it
- Ecology — 21 citations into it
- Optimization & Training — 18 citations into it
Whom Swalpa Kumar Roy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- Farid Melgani
- Ilya Sutskever
- Yann LeCun
- Mercedes Eugenia Paoletti
Who trusts Swalpa Kumar Roy overall
- Ankur Deria
- Guangrui Zhao
- Qichao Liu
- Muhammad Ahmad
- Xianping Ma
- Danfeng Hong
- Yuhui Zheng
- Antonio J. Plaza
- Suvojit Manna
- Liang Xiao
Papers from Swalpa Kumar Roy's perspective
Ordered by how strongly the researchers Swalpa Kumar Roy 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification (2023) — 371 citations
- Multimodal Fusion Transformer for Remote Sensing Image Classification (2022) — 500 citations
- Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021) — 366 citations
- Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification (2020) — 444 citations
- HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification (2019) — 1,500 citations