Sumith Kulal
Computer Vision and Pattern Recognition · 2017–2025
A researcher in the Science corpus: 5 papers; trusts 180 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 148 citations into it
- Artificial Intelligence — 91 citations into it
- Generative Models — 66 citations into it
- Natural Language Processing — 48 citations into it
- Statistical and Nonlinear Physics — 25 citations into it
- Biophysics — 13 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Optimization & Training — 6 citations into it
Whom Sumith Kulal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Jonathan Ho
- Oriol Vinyals
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Alex Graves
Who trusts Sumith Kulal overall
- Michihiro Yasunaga
- Angelica Chen
- Naman Jain
- Ruiqi Zhong
- Frank F. Xu
- Mingjie Liu
- Marc Szafraniec
- Xingyu Xie
- Percy Liang
- Ferran Alet
Papers from Sumith Kulal's perspective
Ordered by how strongly the researchers Sumith Kulal 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets (2023) — 2,748 citations
- SymPy: Symbolic computing in Python (2017) — 1,980 citations
- Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (2024) — 4,349 citations
- FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space (2025) — 917 citations
- SPoC: Search-based Pseudocode to Code (2019) — 329 citations