Shoubhik Debnath
Computer Vision and Pattern Recognition · 2023–2025
A researcher in the Science corpus: 2 papers; trusts 189 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it
- Artificial Intelligence — 46 citations into it
- Model Architectures — 21 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Shoubhik Debnath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Yann LeCun
- Yoshua Bengio
- Sergey Ioffe
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Shoubhik Debnath overall
Papers from Shoubhik Debnath's perspective
Ordered by how strongly the researchers Shoubhik Debnath 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders (2023) — 1,840 citations
- SAM 3: Segment Anything with Concepts (2025) — 636 citations