Ruzena Bajcsy
Computer Vision and Pattern Recognition · 1973–2018
A researcher in the Science corpus: 10 papers; trusts 170 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it; #3,765 of 21,575 by trust here, #3,222 by citations
- Artificial Intelligence — 21 citations into it; #33,698 of 35,345 by trust here, #11,327 by citations
- Biomedical Engineering — 15 citations into it; #1,351 of 10,734 by trust here, #2,233 by citations
- Human-Computer Interaction — 12 citations into it; #321 of 2,253 by trust here, #187 by citations
- Computer Networks and Communications — 10 citations into it
- Control and Systems Engineering — 10 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Ruzena Bajcsy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- Ali Borji
- Geoffrey E. Hinton
- Eren Erdal Aksoy
- Laurent Itti
- Ivan Laptev
- John K. Tsotsos
- Alex Krizhevsky
- Ion Stoica
- Chieh-Yih Wan
Who trusts Ruzena Bajcsy overall
- Mircea Cimpoi
- Hideyuki Tamura
- Subhransu Maji
- Shunji Mori
- Cheng Chen
- Roozbeh Jafari
- Iasonas Kokkinos
- Liliana Lo Presti
- Yong Du
- Takashi Yamawaki
Papers from Ruzena Bajcsy's perspective
Ordered by how strongly the researchers Ruzena Bajcsy 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Berkeley MHAD: A comprehensive Multimodal Human Action Database (2013) — 515 citations
- Distributed recognition of human actions using wearable motion sensor networks (2009) — 224 citations
- Computer Description of Textured Surfaces (1973)
- Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition (2013) — 166 citations
- Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition (2012) — 404 citations
- Fully Automated Echocardiogram Interpretation in Clinical Practice (2018) — 826 citations
- Revisiting active perception (2016) — 391 citations
- Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population (2012) — 374 citations
- Congestion control and fairness for many-to-one routing in sensor networks (2004) — 605 citations
- A method for obtaining 3-dimensional facial expressions and its standardization for use in neurocognitive studies. (2002) — 652 citations