Hema Swetha Koppula
Computer Vision and Pattern Recognition · 2008–2013
A researcher in the Science corpus: 9 papers; trusts 917 researchers and is trusted by 1,384 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 205 citations into it; #1,110 of 21,575 by trust here, #2,177 by citations
- Artificial Intelligence — 98 citations into it; #12,519 of 35,345 by trust here, #9,092 by citations
- Aerospace Engineering — 37 citations into it; #3,531 of 6,421 by trust here, #2,193 by citations
- Control and Systems Engineering — 29 citations into it; #262 of 8,257 by trust here, #289 by citations
- Biomedical Engineering — 24 citations into it
- 3D Vision & Pose — 23 citations into it; #208 of 689 by trust here, #211 by citations
- Optimization & Training — 12 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Hema Swetha Koppula trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Ashutosh Saxena
- Thomas Finley
- Pedro F. Felzenszwalb
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- David G. Lowe
- B. Taskar
- Daphne Koller
Who trusts Hema Swetha Koppula overall
- Ashutosh Saxena
- Ashesh Jain
- Jaeyong Sung
- Silvio Savarese
- Jacob Walker
- Amir Zamir
- Abhinav Kumar Gupta
- Yun Jiang
- Kristen Grauman
- Keze Wang
Papers from Hema Swetha Koppula's perspective
Ordered by how strongly the researchers Hema Swetha 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)
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Semantic Labeling of 3D Point Clouds for Indoor Scenes (2011) — 424 citations
- Anticipating Human Activities Using Object Affordances for Reactive Robotic Response (2013) — 769 citations
- Learning human activities and object affordances from RGB-D videos (2012) — 756 citations
- Hallucinated Humans as the Hidden Context for Labeling 3D Scenes (2013) — 139 citations
- Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation (2013) — 223 citations
- Contextually guided semantic labeling and search for three-dimensional point clouds (2013) — 200 citations
- Contextually Guided Semantic Labeling and Search for 3D Point Clouds (2011) — 79 citations
- Human Activity Learning using Object Affordances from RGB-D Videos (2012) — 19 citations
- Growth of the flickr social network (2008) — 473 citations