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2020 – today
- 2024
[c18]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. AAAI 2024: 2795-2803- [c17]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR 2024: 3346-3356 - [c16]Seungchul Lee, Namje Kim, Miran Park, Kihong Yoon, Mihee Hwang, Joonsang Yu, Sangho Lee, O.-Kyun Kwon:
400G cost-effective EML for B5G/6G Fronthaul Network. OFC 2024: 1-3 - [c15]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV 2024: 977-987 - [i12]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR abs/2403.20126 (2024) - [i11]Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR abs/2404.00921 (2024) - [i10]Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeeseung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, Jinhong Kim, Jinuk Kim, Dokyeong Lee, Dong Wook Park, Jeong Min Sohn, Sujung Han, Jiae Heo, Sungju Hong, Mina Jeon, Hyunhoon Jung, Jungeun Jung, Wangkyo Jung, Chungjoon Kim, Hyeri Kim, Jonghyun Kim, Min Young Kim, Soeun Lee, Joonhee Park, Jieun Shin, Sojin Yang, Jungsoon Yoon, Hwaran Lee, Sanghwan Bae, Jeehwan Cha, Karl Gylleus, Donghoon Ham, Mihak Hong, Youngki Hong, Yunki Hong, Dahyun Jang, Hyojun Jeon, Yujin Jeon, Yeji Jeong, Myunggeun Ji, Yeguk Jin, Chansong Jo, Shinyoung Joo, Seunghwan Jung, Adrian Jungmyung Kim, Byoung Hoon Kim, Hyomin Kim, Jungwhan Kim, Minkyoung Kim, Minseung Kim, Sungdong Kim, Yonghee Kim, Youngjun Kim, Youngkwan Kim, Donghyeon Ko, Dughyun Lee, Hayoung Lee, Jaehong Lee, Jieun Lee, Jonghyun Lee, Jongjin Lee, Min Young Lee, Yehbin Lee, Taehong Min, Yuri Min, Kiyoon Moon, Hyangnam Oh, Jaesun Park, Kyuyon Park, Younghun Park, Hanbae Seo, Seunghyun Seo, Mihyun Sim, Gyubin Son, Matt Yeo, Kyung Hoon Yeom, Wonjoon Yoo:
HyperCLOVA X Technical Report. CoRR abs/2404.01954 (2024) - 2023
- [c14]Hongsun Jang, Jaewon Jung, Jaeyong Song
, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE 2023: 1-6 - [c13]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. IJCAI 2023: 911-919 - [i9]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR abs/2301.09312 (2023) - [i8]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR abs/2301.12443 (2023) - [i7]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. CoRR abs/2305.08611 (2023) - [i6]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. CoRR abs/2312.16388 (2023) - 2022
- [c12]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022: 8301-8311 - [c11]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC 2022: 577-582 - [c10]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC 2022: 589-594 - [i5]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR abs/2203.17008 (2022) - [i4]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR abs/2204.01209 (2022) - 2021
- [c9]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. DAC 2021: 337-342 - [i3]Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR abs/2112.02191 (2021) - 2020
- [i2]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. CoRR abs/2009.06237 (2020)
2010 – 2019
- 2019
- [c8]Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. AAAI 2019: 5701-5708 - [c7]Gunhee Lee, Hanmin Park, Namhyung Kim, Joonsang Yu, Sujeong Jo, Kiyoung Choi:
Acceleration of DNN Backward Propagation by Selective Computation of Gradients. DAC 2019: 85 - 2018
- [c6]Sungbum Kang, Joonsang Yu, Kiyoung Choi:
Tapered-Ratio Compression for Residual Network. ISOCC 2018: 72-73 - [i1]Joonsang Yu, Sungbum Kang, Kiyoung Choi:
Network Recasting: A Universal Method for Network Architecture Transformation. CoRR abs/1809.05262 (2018) - 2017
- [j1]Hossein Moradian, Jeong-A Lee, Joonsang Yu:
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept. J. Signal Process. Syst. 88(3): 297-309 (2017) - [c5]Joonsang Yu, Kyounghoon Kim, Jongeun Lee, Kiyoung Choi:
Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks. ICCD 2017: 105-112 - [c4]Subin Huh, Joonsang Yu, Kiyoung Choi:
A new stochastic mutiplier for deep neural networks. ISOCC 2017: 46-47 - [c3]Heesu Kim, Joonsang Yu, Kiyoung Choi:
Hybrid spiking-stochastic Deep Neural Network. VLSI-DAT 2017: 1-4 - 2016
- [c2]Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi:
Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks. DAC 2016: 124:1-124:6 - [c1]Jungwoo Seo, Joonsang Yu, Jongeun Lee, Kiyoung Choi:
A new approach to binarizing neural networks. ISOCC 2016: 77-78
Coauthor Index
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last updated on 2024-10-04 19:58 CEST by the dblp team
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