Naveen Kumar
Computer Vision and Pattern Recognition · with Wang · 2017–2025
A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it
- Artificial Intelligence — 63 citations into it
- Reinforcement Learning — 8 citations into it
Whom Naveen Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Naveen Kumar's perspective
Ordered by how strongly the researchers Naveen Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Device Placement Optimization with Reinforcement Learning (2017) — 492 citations
- MLPerf Training Benchmark (2019) — 388 citations
- In-datacenter performance analysis of a tensor processing unit (2017) — 5,323 citations
- Scale MLPerf-0.6 models on Google TPU-v3 Pods (2019) — 43 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations