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Namhoon Lee
Namhoon Lee
POSTECH; Google
Verified email at postech.ac.kr - Homepage
Title
Cited by
Cited by
Year
SNIP: Single-shot network pruning based on connection sensitivity
N Lee, T Ajanthan, PHS Torr
ICLR 2019, 2018
14172018
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker
CVPR 2017, 2017
12452017
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
ECCV 2018 Workshop on the Visual Object Tracking Challenge, 2018
10162018
Learn to pay attention
S Jetley, NA Lord, N Lee, PHS Torr
ICLR 2018, 2018
5722018
Forecasting interactive dynamics of pedestrians with fictitious play
WC Ma, DA Huang, N Lee, KM Kitani
CVPR 2017, 2017
2072017
A signal propagation perspective for pruning neural networks at initialization
N Lee, T Ajanthan, S Gould, PHS Torr
ICLR 2020, 2019
1902019
Predicting wide receiver trajectories in american football
N Lee, KM Kitani
WACV 2016, 2016
742016
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
482018
Meta-Learning Sparse Implicit Neural Representations
J Lee, J Tack, N Lee, J Shin
NeurIPS 2021, 2021
412021
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
S Shin, Y Jo, S Ahn, N Lee
ICML 2023, 2023
292023
A gametheoretic approach to multi-pedestrian activity forecasting
WC Ma, DA Huang, N Lee, KM Kitani
arXiv preprint arXiv:1604.01431 2, 2016
122016
Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training
N Lee, T Ajanthan, PHS Torr, M Jaggi
ICLR 2021, 2021
10*2021
JaxPruner: A concise library for sparsity research
JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ...
Conference on Parsimony and Learning, 515-528, 2024
62024
Critical Influence of Overparameterization on Sharpness-aware Minimization
S Shin, D Lee, M Andriushchenko, N Lee
arXiv preprint arXiv:2311.17539, 2023
6*2023
Fedfwd: Federated learning without backpropagation
S Park, D Shin, J Chung, N Lee
arXiv preprint arXiv:2309.01150, 2023
62023
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
S Son, J Ryu, N Lee, J Lee
ECCV 2024, 2023
4*2023
Modeling of Dynamic Environments for Visual Forecasting of American Football Plays
N Lee
Master's thesis, Carnegie Mellon University Pittsburgh, PA, 2015. 1, 2015
32015
Spreme: Sparse regression for multi-environment dynamic systems
MJ Park, Y Choi, N Lee, D Kim
arXiv preprint arXiv:2302.05942, 2023
12023
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
S Shin, W Park, J Lee, N Lee
EMNLP 2024, 2024
2024
Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization
K Nam, J Chung, N Lee
2023
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Articles 1–20