| Seqhand: Rgb-sequence-based 3d hand pose and shape estimation J Yang, HJ Chang, S Lee, N Kwak Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 55 | 2020 |
| Broadcasting convolutional network for visual relational reasoning S Chang, J Yang, SU Park, N Kwak Proceedings of the European Conference on Computer Vision (ECCV), 754-769, 2018 | 24 | 2018 |
| Genetic-gated networks for deep reinforcement learning S Chang, J Yang, J Choi, N Kwak Advances in neural information processing systems 31, 2018 | 18 | 2018 |
| Depth estimation with simplified transformer J Yang, L An, A Dixit, J Koo, SI Park arXiv preprint arXiv:2204.13791, 2022 | 14 | 2022 |
| Sym-parameterized dynamic inference for mixed-domain image translation S Chang, SU Park, J Yang, N Kwak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Exploring rare pose in human pose estimation J Hwang, J Yang, N Kwak IEEE Access 8, 194964-194977, 2020 | 9 | 2020 |
| Dynamic iterative refinement for efficient 3d hand pose estimation J Yang, Y Bhalgat, S Chang, F Porikli, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| Towards Governing Agent’s Efficacy: Action-Conditional -VAE for Deep Transparent Reinforcement Learning J Yang, G Lee, S Chang, N Kwak Asian conference on machine learning, 32-47, 2019 | 5 | 2019 |
| Kernel parameter selection by gap maximization between intra and inter-class samples J Yang, H Lee, N Kwak 2016 International Conference on Big Data and Smart Computing (BigComp), 349-352, 2016 | 1 | 2016 |
