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2020 – today
- 2024
[i8]Hansol Kim, Hoyeol Choi, Youngjun Kwak:
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning. CoRR abs/2407.16289 (2024)- 2023
- [c7]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing. ICASSP 2023: 1-5 - [c6]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. ICCV 2023: 6447-6456 - [c5]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [c4]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer. ICIP 2023: 1015-1019 - [i7]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness score-based regression neural networks for face anti-spoofing. CoRR abs/2302.09461 (2023) - [i6]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. CoRR abs/2307.12450 (2023) - [i5]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust face anti-spoofing framework with Convolutional Vision Transformer. CoRR abs/2307.12459 (2023) - [i4]Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim:
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge. CoRR abs/2311.11470 (2023) - 2021
- [c3]Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han:
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation. AAAI 2021: 1496-1504
2010 – 2019
- 2019
- [c2]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi:
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. CVPR 2019: 4350-4359 - [c1]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. ICCV Workshops 2019: 1131-1139 - [i3]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. CoRR abs/1910.07331 (2019) - 2018
- [j1]ByungIn Yoo
, Youngjun Kwak, Youngsung Kim, Changkyu Choi, Junmo Kim:
Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion. IEEE Signal Process. Lett. 25(6): 808-812 (2018) - [i2]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Youngjun Kwak, Jae-Joon Han, Changkyu Choi:
Joint Training of Low-Precision Neural Network with Quantization Interval Parameters. CoRR abs/1808.05779 (2018) - 2017
- [i1]Youngsung Kim, ByungIn Yoo, Youngjun Kwak, Changkyu Choi, Junmo Kim:
Deep generative-contrastive networks for facial expression recognition. CoRR abs/1703.07140 (2017)
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