Pannag R. Sanketi
Computer Vision and Pattern Recognition · 2022–2025
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 233 citations into it
- Artificial Intelligence — 232 citations into it
- Reinforcement Learning — 106 citations into it
- Control and Systems Engineering — 102 citations into it
Whom Pannag R. Sanketi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine (in Artificial Intelligence)
- Chelsea Finn (in Artificial Intelligence)
- Pieter Abbeel (in Artificial Intelligence)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
Papers from Pannag R. Sanketi's perspective
Ordered by how strongly the researchers Pannag R. Sanketi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- End-to-End Training of Deep Visuomotor Policies
- Decoupled Weight Decay Regularization
- FiLM: Visual Reasoning with a General Conditioning Layer
- Zero-Shot Text-to-Image Generation
Their papers
- RT-1: Robotics Transformer for Real-World Control at Scale (2022) — 2,545 citations
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- OpenVLA: An Open-Source Vision-Language-Action Model (2024) — 2,794 citations
- Octo: An Open-Source Generalist Robot Policy (2024) — 1,572 citations
- Gemini Robotics: Bringing AI into the Physical World (2025) — 385 citations
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control (2023) — 3,674 citations