Srikumar Ramalingam
Computer Vision and Pattern Recognition · 2010–2023
A researcher in the Science corpus: 6 papers; trusts 445 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 97 citations into it; #13,051 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 48 citations into it
- Model Architectures — 23 citations into it
- Optimization & Training — 19 citations into it
- Aerospace Engineering — 16 citations into it; #5,945 of 6,421 by trust here, #4,945 by citations
- Efficiency & Compression — 14 citations into it
- Scaling & Learning Theory — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Srikumar Ramalingam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Jana Kosecka
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- David G. Lowe
- Diederik P. Kingma
- Christian Szegedy
Who trusts Srikumar Ramalingam overall
- Tobias Weyand
- Matteo Fischetti
- Ilya Kostrikov
- Holger R. Roth
- Jason Jo
- Oncel Tuzel
- Radhakrishna Achanta
- Zhile Ren
Papers from Srikumar Ramalingam's perspective
Ordered by how strongly the researchers Srikumar Ramalingam 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Entropy rate superpixel segmentation (2011) — 1,046 citations
- SKYLINE2GPS: Localization in urban canyons using omni-skylines (2010) — 89 citations
- Voting-based pose estimation for robotic assembly using a 3D sensor (2012) — 174 citations
- Rethinking FID: Towards a Better Evaluation Metric for Image Generation (2023) — 396 citations
- Learning Strict Identity Mappings in Deep Residual Networks (2018) — 48 citations
- Bounding and Counting Linear Regions of Deep Neural Networks (2017) — 303 citations