Self-supervised learning of motion capture HY Tung, HW Tung, E Yumer, K Fragkiadaki Advances in neural information processing systems 30, 2017 | 337 | 2017 |
Generative models and model criticism via optimized maximum mean discrepancy DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ... arXiv preprint arXiv:1611.04488, 2016 | 307 | 2016 |
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision HY Fish Tung, AW Harley, W Seto, K Fragkiadaki Proceedings of the IEEE International Conference on Computer Vision, 4354-4362, 2017 | 184 | 2017 |
Fast and guaranteed tensor decomposition via sketching Y Wang, HY Tung, AJ Smola, A Anandkumar Advances in neural information processing systems 28, 2015 | 149 | 2015 |
Learning spatial common sense with geometry-aware recurrent networks HYF Tung, R Cheng, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 76 | 2019 |
Physion: Evaluating physical prediction from vision in humans and machines DM Bear, E Wang, D Mrowca, FJ Binder, HYF Tung, RT Pramod, ... arXiv preprint arXiv:2106.08261, 2021 | 55 | 2021 |
Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013 | 42 | 2013 |
Reward learning from narrated demonstrations HY Tung, AW Harley, LK Huang, K Fragkiadaki Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
Learning from unlabelled videos using contrastive predictive neural 3d mapping AW Harley, SK Lakshmikanth, F Li, X Zhou, HYF Tung, K Fragkiadaki arXiv preprint arXiv:1906.03764, 2019 | 31* | 2019 |
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators HY Fish Tung, Z Xian, M Prabhudesai, S Lal, K Fragkiadaki Conference on Robot Learning (CoRL) 2020, arXiv: 2011.06464, 2020 | 26* | 2020 |
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ... Proceedings of the 2013 KDD Cup 2013 Workshop, 1-7, 2013 | 25 | 2013 |
Fluidlab: A differentiable environment for benchmarking complex fluid manipulation Z Xian, B Zhu, Z Xu, HY Tung, A Torralba, K Fragkiadaki, C Gan arXiv preprint arXiv:2303.02346, 2023 | 24 | 2023 |
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Z Xian, S Lal, HY Tung, EA Platanios, K Fragkiadaki International Conference on Learning Representations (ICLR) 2021, 2021 | 17 | 2021 |
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning M Prabhudesai, S Lal, D Patil, HY Tung, AW Harley, K Fragkiadaki International Conference on Learning Representations (ICLR) 2021, 2020 | 17 | 2020 |
Spectral methods for indian buffet process inference HY Tung, AJ Smola Advances in Neural Information Processing Systems 27, 2014 | 17 | 2014 |
Embodied language grounding with 3d visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 15 | 2020 |
Novel traffic signal timing adjustment strategy based on genetic algorithm HY Tung, WC Ma, TL Yu 2014 IEEE Congress on Evolutionary Computation (CEC), 2353-2360, 2014 | 10 | 2014 |
Embodied language grounding with implicit 3d visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki | 9 | 2019 |
Physion++: Evaluating physical scene understanding that requires online inference of different physical properties HY Tung, M Ding, Z Chen, D Bear, C Gan, J Tenenbaum, D Yamins, J Fan, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Tactile-Filter: Interactive Tactile Perception for Part Mating K Ota, DK Jha, HY Tung, JB Tenenbaum arXiv preprint arXiv:2303.06034, 2023 | 3 | 2023 |