Sicheng Zhao

Cituota

	Visi	Nuo 2020
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Hongxun YaoHarbin Institute of TechnologyPatvirtintas el. paštas hit.edu.cn
Ding GuiguangTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Pengfei XuDidi ChuxingPatvirtintas el. paštas didiglobal.com
Yue GaoTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Jungong HanChair Professor in Computer Vision, University of Sheffield, UK, FIAPR, FAAIAPatvirtintas el. paštas sheffield.ac.uk
Jufeng YangNankai UniversityPatvirtintas el. paštas nankai.edu.cn
Tat-Seng ChuaNational University of SingaporePatvirtintas el. paštas comp.nus.edu.sg
Bichen WuStealth Startup. ex GenAI at Meta, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Qingming HuangUniversity of the Chinese Academy of SciencesPatvirtintas el. paštas ucas.ac.cn
Weizhi NieTianjin UniversityPatvirtintas el. paštas tju.edu.cn
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGPatvirtintas el. paštas tum.de
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Qiang JiProfessor of Electrical Eng., RPIPatvirtintas el. paštas ecse.rpi.edu
James Z. WangDistinguished Professor, Informatics, Data Sciences, and HCI, Penn StatePatvirtintas el. paštas ist.psu.edu
Jianhua TAOTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Qionghai DaiTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Binsheng ZhaoProfessor of Radiology (Medical Physics), Columbia University Medical CenterPatvirtintas el. paštas cumc.columbia.edu
Shanghang ZhangPeking University

Stebėti

Sicheng Zhao

Tsinghua University

Patvirtintas el. paštas tsinghua.edu.cn - Pagrindinis puslapis

Affective Computing Multimedia Domain Adaptation Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	2297	2018
Auto-encoder based dimensionality reduction Y Wang, H Yao, S Zhao Neurocomputing 184, 232-242, 2016	1137	2016
Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud B Wu, X Zhou, S Zhao, X Yue, K Keutzer 2019 International Conference on Robotics and Automation (ICRA), 4376-4382, 2019	817	2019
Shift: A zero flop, zero parameter alternative to spatial convolutions B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	475	2018
Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data X Yue, Y Zhang, S Zhao, A Sangiovanni-Vincentelli, K Keutzer, B Gong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	465	2019
Exploring principles-of-art features for image emotion recognition S Zhao, Y Gao, X Jiang, H Yao, TS Chua, X Sun Proceedings of the 22nd ACM international conference on Multimedia, 47-56, 2014	408	2014
Squeezenext: Hardware-aware neural network design A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	400	2018
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ... IEEE Transactions on Neural Networks and Learning Systems 33 (2), 473-493, 2022	326	2022
Multi-source distilling domain adaptation S Zhao, G Wang, S Zhang, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12975 …, 2020	246	2020
Multi-source domain adaptation for semantic segmentation S Zhao, B Li, X Yue, Y Gu, P Xu, R Hu, H Chai, K Keutzer Advances in Neural Information Processing Systems, 7287-7300, 2019	199	2019
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression S Zhao, H Yao, Y Gao, R Ji, G Ding IEEE Transactions on Multimedia 19 (3), 632-645, 2017	199	2017
Predicting personalized image emotion perceptions in social networks S Zhao, H Yao, Y Gao, G Ding, TS Chua IEEE Transactions on Affective Computing 9 (4), 526-540, 2018	166	2018
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey S Zhao, B Li, C Reed, P Xu, K Keutzer arXiv preprint arXiv:2002.12169, 2020	147	2020
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment L Li, H Zhu, S Zhao, G Ding, W Lin IEEE Transactions on Image Processing 29, 3898-3910, 2020	143	2020
Multimodal Sentiment Analysis With Image-Text Interaction Network T Zhu, L Li, J Yang, S Zhao, H Liu, J Qian IEEE Transactions on Multimedia 25, 3375-3385, 2023	142	2023
A neural multi-task learning framework to jointly model medical named entity recognition and normalization S Zhao, T Liu, S Zhao, F Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 817-824, 2019	137	2019
Affective Image Content Analysis: Two Decades Review and New Perspectives S Zhao, X Yao, J Yang, G Jia, G Ding, TS Chua, BW Schuller, K Keutzer IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6729 …, 2022	129	2022
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies S Zhao, G Jia, J Yang, G Ding, K Keutzer IEEE Signal Processing Magazine 38 (6), 59-73, 2021	127	2021
Affective image retrieval via multi-graph learning S Zhao, H Yao, Y Yang, Y Zhang Proceedings of the 22nd ACM international conference on Multimedia, 1025-1028, 2014	126	2014
Predicting personalized emotion perceptions of social images S Zhao, H Yao, Y Gao, R Ji, W Xie, X Jiang, TS Chua Proceedings of the 24th ACM international conference on Multimedia, 1385-1394, 2016	124	2016

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