Joonsang Yu
According to our database1,
Joonsang Yu
authored at least 21 papers
between 2016 and 2024.
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Bibliography
2024
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting.
CoRR, 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning.
CoRR, 2024
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
CoRR, 2022
NN-LUT: neural approximation of non-linear operations for efficient transformer inference.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Enabling hard constraints in differentiable neural network and accelerator co-exploration.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the International SoC Design Conference, 2018
2017
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept.
J. Signal Process. Syst., 2017
Proceedings of the 2017 International Symposium on VLSI Design, Automation and Test, 2017
Proceedings of the International SoC Design Conference, 2017
Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017
2016
Proceedings of the International SoC Design Conference, 2016
Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks.
Proceedings of the 53rd Annual Design Automation Conference, 2016