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
3210 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
848 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
89 2023 Detecting engagement in egocentric video YC Su, K Grauman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
70 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 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 AustinDirección de correo verificada de cs.utexas.edu
