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Youngeun Kim
Youngeun Kim
在 yale.edu 的电子邮件经过验证 - 首页
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2022 roadmap on neuromorphic computing and engineering
DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ...
Neuromorphic Computing and Engineering 2 (2), 022501, 2022
3582022
Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification
S Choi, S Lee, Y Kim, T Kim, C Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3032020
Domain adaptation without source data
Y Kim, D Cho, K Han, P Panda, S Hong
IEEE Transactions on Artificial Intelligence 2 (6), 508-518, 2021
187*2021
Revisiting batch normalization for training low-latency deep spiking neural networks from scratch
Y Kim, P Panda
Frontiers in neuroscience, 1638, 2021
1472021
Combinational class activation maps for weakly supervised object localization
S Yang, Y Kim, Y Kim, C Kim
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
892020
Neural architecture search for spiking neural networks
Y Kim, Y Li, H Park, Y Venkatesha, P Panda
European Conference on Computer Vision (ECCV) 2022, 2022
862022
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
Y Kim, P Panda
Neural Networks, 2021
852021
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Y Li, Y Kim, H Park, T Geller, P Panda
European Conference on Computer Vision (ECCV) 2022, 2022
702022
Cnn-based semantic segmentation using level set loss
Y Kim, S Kim, T Kim, C Kim
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2019
692019
Beyond classification: directly training spiking neural networks for semantic segmentation
Y Kim, J Chough, P Panda
Neuromorphic Computing and Engineering (arXiv preprint arXiv:2110.07742), 2021
582021
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
Y Kim, H Park, A Moitra, A Bhattacharjee, Y Venkatesha, P Panda
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
522022
Visual explanations from spiking neural networks using inter-spike intervals
Y Kim, P Panda
Scientific reports 11 (1), 19037, 2021
452021
Federated Learning with Spiking Neural Networks
Y Venkatesha, Y Kim, L Tassiulas, P Panda
IEEE Transactions on Signal Processing, 2021
442021
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Y Kim, Y Li, H Park, Y Venkatesha, R Yin, P Panda
European Conference on Computer Vision (ECCV) 2022 (Oral Presentation), 102-120, 2022
42*2022
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
332022
Privatesnn: privacy-preserving spiking neural networks
Y Kim, Y Venkatesha, P Panda
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1192-1200, 2022
31*2022
Adaptive graph adversarial networks for partial domain adaptation
Y Kim, S Hong
IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 172-182, 2021
262021
Towards privacy-preserving domain adaptation
Y Kim, D Cho, S Hong
IEEE Signal Processing Letters 27, 1675-1679, 2020
202020
NEAT: Nonlinearity aware training for accurate, energy-efficient, and robust implementation of neural networks on 1T-1R crossbars
A Bhattacharjee, L Bhatnagar, Y Kim, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
192021
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
A Bhattacharjee, Y Kim, A Moitra, P Panda
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED …, 2022
162022
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