Namhoon Lee
Namhoon Lee
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DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker
Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
Learn to pay attention
S Jetley, NA Lord, N Lee, PHS Torr
arXiv preprint arXiv:1804.02391, 2018
SNIP: Single-shot network pruning based on connection sensitivity
N Lee, T Ajanthan, PHS Torr
arXiv preprint arXiv:1810.02340, 2018
Forecasting interactive dynamics of pedestrians with fictitious play
WC Ma, DA Huang, N Lee, KM Kitani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Predicting wide receiver trajectories in american football
N Lee, KM Kitani
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
Synthesizing a scene-specific pedestrian detector and pose estimator for static video surveillance
H Hattori, N Lee, VN Boddeti, F Beainy, KM Kitani, T Kanade
International Journal of Computer Vision 126 (9), 1027-1044, 2018
A gametheoretic approach to multi-pedestrian activity forecasting
WC Ma, DA Huang, N Lee, KM Kitani
arXiv preprint arXiv:1604.01431 2, 2016
A signal propagation perspective for pruning neural networks at initialization
N Lee, T Ajanthan, S Gould, PHS Torr
arXiv preprint arXiv:1906.06307, 2019
Modeling of Dynamic Environments for Visual Forecasting of American Football Plays
N Lee
Master's thesis, Carnegie Mellon University Pittsburgh, PA, 2015. 1, 2015
Data Parallelism in Training Sparse Neural Networks
N Lee, PHS Torr, M Jaggi
arXiv preprint arXiv:2003.11316, 2020
Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training
N Lee, T Ajanthan, PHS Torr, M Jaggi
arXiv preprint arXiv:2003.11316, 2020
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