| Advances in molecular quantum chemistry contained in the Q-Chem 4 program package Y Shao, Z Gan, E Epifanovsky, ATB Gilbert, M Wormit, J Kussmann, ... Molecular Physics 113 (2), 184-215, 2015 | 3211 | 2015 |
| Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package E Epifanovsky, ATB Gilbert, X Feng, J Lee, Y Mao, N Mardirossian, ... The Journal of chemical physics 155 (8), 2021 | 851 | 2021 |
| Learning spherical convolution for fast features from 360 imagery YC Su, K Grauman Advances in neural information processing systems 30, 2017 | 327 | 2017 |
| Pano2vid: Automatic cinematography for watching 360 videos YC Su, D Jayaraman, K Grauman Asian Conference on Computer Vision, 154-171, 2016 | 167 | 2016 |
| Kernel transformer networks for compact spherical convolution YC Su, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 142 | 2019 |
| Making 360deg video watchable in 2d: Learning videography for click free viewing YC Su, K Grauman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 136* | 2017 |
| Taming encoder for zero fine-tuning image customization with text-to-image diffusion models X Jia, Y Zhao, KCK Chan, Y Li, H Zhang, B Gong, T Hou, H Wang, YC Su arXiv preprint arXiv:2304.02642, 2023 | 90 | 2023 |
| Detecting engagement in egocentric video YC Su, K Grauman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 72 | 2016 |
| Assessment of density functional methods with correct asymptotic behavior CW Tsai, YC Su, JD Chai Physical Chemistry Chemical Physics 15 (21), 8352-8361, 2013 | 57 | 2013 |
| 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 | 44 | 2013 |
| Leaving some stones unturned: dynamic feature prioritization for activity detection in streaming video YC Su, K Grauman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 40 | 2016 |
| Transfer learning for video recognition with scarce training data for deep convolutional neural network YC Su, TH Chiu, CY Yeh, HF Huang, WH Hsu arXiv preprint arXiv:1409.4127, 2014 | 34 | 2014 |
| 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 | 34* | 2013 |
| Learning compressible 360 video isomers YC Su, K Grauman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 29 | 2018 |
| Instruct-Imagen: Image generation with multi-modal instruction H Hu, KCK Chan, YC Su, W Chen, Y Li, K Sohn, Y Zhao, X Ben, B Gong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| Rethinking deep face restoration Y Zhao, YC Su, CT Chu, Y Li, M Renn, Y Zhu, C Chen, X Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Towards authentic face restoration with iterative diffusion models and beyond Y Zhao, T Hou, YC Su, X Jia, Y Li, M Grundmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| Learning Spherical Convolution for Recognition YC Su, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8371 …, 2021 | 12 | 2021 |
| Enabling low bitrate mobile visual recognition: a performance versus bandwidth evaluation YC Su, TH Chiu, YY Chen, CY Yeh, WH Hsu Proceedings of the 21st ACM international conference on Multimedia, 73-82, 2013 | 12 | 2013 |
| Scalable mobile visual classification by kernel preserving projection over high-dimensional features YC Su, TH Chiu, YH Kuo, CY Yeh, WH Hsu IEEE Transactions on Multimedia 16 (6), 1645-1653, 2014 | 11 | 2014 |
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
