Sumanth Chennupati
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 4 papers; trusts 396 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 148 citations into it
- Artificial Intelligence — 58 citations into it
- Evaluation & Benchmarks — 35 citations into it
- Aerospace Engineering — 32 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 10 citations into it
- Efficiency & Compression — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Sumanth Chennupati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Shaoqing Ren
- Evan Shelhamer
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
Papers from Sumanth Chennupati's perspective
Ordered by how strongly the researchers Sumanth Chennupati 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving (2019) — 341 citations
- AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving (2019) — 47 citations
- NeurAll: Towards a Unified Model for Visual Perception in Automated Driving (2019) — 15 citations
- NeurAll: Towards a Unified Visual Perception Model for Automated Driving (2019) — 29 citations