Skanda Koppula
Computer Vision and Pattern Recognition · 2021–2024
A researcher in the Science corpus: 4 papers; trusts 296 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 160 citations into it
- Artificial Intelligence — 115 citations into it
- Representation & Self-Supervised Learning — 47 citations into it
- Model Architectures — 37 citations into it
- Optimization & Training — 10 citations into it
Whom Skanda Koppula trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
- Andrew Zisserman
Papers from Skanda Koppula's perspective
Ordered by how strongly the researchers Skanda Koppula 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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)
- Going deeper with convolutions
Their papers
- Perceiver IO: A General Architecture for Structured Inputs & Outputs (2021) — 871 citations
- Efficient Visual Pretraining with Contrastive Detection (2021) — 190 citations
- Perception Test: A Diagnostic Benchmark for Multimodal Video Models (2023) — 350 citations
- PaliGemma: A versatile 3B VLM for transfer (2024) — 728 citations