George Retsinas
Intelligent Robotics and Automation Laboratory, National Technical University of Athens
I am George Retsinas, first and foremost a problem solver and machine learning enthusiast, currently working as a Research Scientist at NVIDIA, focusing on sparsity and model compression. I received my Ph.D. from the School of Electrical and Computer Engineering of the National Technical University of Athens, where my research was focused on machine learning and computer vision. I have also been a Postdoctoral Researcher at NTUA and a research associate at Athena Research Center and National Center for Scientific Research “Demokritos”, where my work spanned Document Analysis, 3D Vision, and Robotic Perception
news
| Apr 4, 2024 | SMIRK has been accepted at CVPR 2024 ! |
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selected publications
- 3D Facial Expressions through Analysis-by-Neural-SynthesisIn Conference on Computer Vision and Pattern Recognition (CVPR), 2024
- Feather: An Elegant Solution to Effective DNN SparsificationIn British Machine Vision Conference (BMVC), 2023
- Neural Network Approximation based on Hausdorff distance of Tropical ZonotopesIn International Conference on Learning Representations (ICLR), 2022
- From Seq2Seq Recognition to Handwritten Word EmbeddingsIn British Machine Vision Conference (BMVC), 2021
- An Alternative Deep Feature Approach to Line Level Keyword SpottingIn IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
- RecNets: Depthwise-Recurrent Convolutional Neural NetworksIn British Machine Vision Conference (BMVC), 2019
- Efficient Learning-Free Keyword SpottingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018