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ORCIDJing Yang 0038
Person information
- affiliation: InsightFace
- affiliation: University of Nottingham, Computer Vision Laboratory, UK
Other persons with the same name
- Jing Yang — disambiguation page
- Jing Yang 0001 — University of North Carolina at Charlotte (UNCC), Department of Computer Science, NC, USA (and 1 more)
- Jing Yang 0002
![[0000-0002-6009-864X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6009-864X")
— Pennsylvania State University, University Park, PA, USA (and 3 more) - Jing Yang 0003 — University of Virginia, Charlottesville, VA, USA
- Jing Yang 0004 — University of California at Berkeley, CA, USA
- Jing Yang 0005 — Yale University
- Jing Yang 0006 — The University of Sheffield, UK
- Jing Yang 0007 — Samsung Advanced Institute of Technology
- Jing Yang 0008 — Hefei University of Technology, School of Computer and Information, China
- Jing Yang 0009 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, China (and 1 more)
- Jing Yang 0010 — Harbin Engineering University, College of Computer Science and Technology, China
- Jing Yang 0011 — Nanjing University of Information Science and Technology, School of Information and Control, China
- Jing Yang 0012 — Chongqing Institute of Technology, Department of Electrical Information Engineering, China
- Jing Yang 0013 — Taiyuan University of Technology, College of Information Engineering / Information Center, China
- Jing Yang 0014 — Xi'an Jiaotong University, Institute of Control Engineering, China
- Jing Yang 0015 — Yangzhou University, School of Information Engineering, China (and 2 more)
- Jing Yang 0016 — École Polytechnique, Palaiseau, France
- Jing Yang 0017 — Guizhou University, MoE Key Laboratory of Advanced Manufacturing Technology, Guiyang, China
- Jing Yang 0018 — Harbin Institute of Technology, Experimental and Innovation Practice Center, Shenzhen, China (and 1 more)
- Jing Yang 0019 — Henan University of Technology, College of Information Science and Engineering, Zhengzhou, China (and 1 more)
- Jing Yang 0020 — Central South University, School of Information Science and Engineering, Changsha, China
- Jing Yang 0021 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China
- Jing Yang 0022 — ETH Zurich, Institute for Pervasive Computing, Switzerland
- Jing Yang 0023 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jing Yang 0024 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Jing Yang 0025 — Lund University, Department of Electrical and Information Technology, Sweden
- Jing Yang 0026 — Northwestern Polytechnical University, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Xi'an, China (and 1 more)
- Jing Yang 0027 — China University of Mining and Technology, Xuzhou, China
- Jing Yang 0028 — Beijing Normal University, School of Management, Zhuhai Campus, China (and 1 more)
- Jing Yang 0029 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Jing Yang 0030 — Northwestern Polytechnical University, School of Power and Energy, Xi'an, China
- Jing Yang 0031 — State University of Campinas, Institute of Computing, SP, Brazil (and 1 more)
- Jing Yang 0032 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China (and 1 more)
- Jing Yang 0033 — Zhengzhou University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Yang 0034 — Nanjing Normal University, School of Geography, Key Laboratory of Virtual Geographic Environment, China
- Jing Yang 0035 — Nankai University, Chern Institute of Mathematics and LPMC / Tianjin Key Laboratory of Network and Data Security Technology, Tianjin, China
- Jing Yang 0036 — Wuhan University, Electronic Information School, Radar and Signal Processing Laboratory, China
- Jing Yang 0037 — Anhui University of Science and Technology, School of Mathematics and Big Data, Huainan, China
- Jing Yang 0039 — Guangxi University for Nationalities, College of Information Science and Engineering, Nanning, China (and 2 more)
- Jing Yang 0040 (aka: Jing (Roy) Yang) — Queensland University of Technology, Australia
- Jing Yang 0041 — Hefei University, School of Artificial Intelligence and Big Data, China (and 2 more)
- Jing Yang 0042 — Guizhou University, Department of Electrical Engineering, Guiyang, China
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Journal Articles
- 2023
[j2]Jing Yang, Yordan Hristov, Jie Shen, Yiming Lin, Maja Pantic:
Toward Robust Facial Action Units' Detection. Proc. IEEE 111(10): 1198-1214 (2023)- 2022
- [j1]Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou:
ArcFace: Additive Angular Margin Loss for Deep Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5962-5979 (2022)
Conference and Workshop Papers
- 2023
- [c10]Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. ICCV 2023: 2910-2919 - [c9]Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
Unicom: Universal and Compact Representation Learning for Image Retrieval. ICLR 2023 - [c8]Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic:
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection. WACV 2023: 6008-6016 - 2022
- [c7]Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu:
Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC. CVPR 2022: 4032-4041 - [c6]Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sánchez-Lozano, Georgios Tzimiropoulos:
Pre-training Strategies and Datasets for Facial Representation Learning. ECCV (13) 2022: 107-125 - 2021
- [c5]Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou:
Variational Prototype Learning for Deep Face Recognition. CVPR 2021: 11906-11915 - [c4]Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos:
Knowledge distillation via softmax regression representation learning. ICLR 2021 - 2020
- [c3]Jing Yang, Adrian Bulat, Georgios Tzimiropoulos:
FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition. AAAI 2020: 12621-12628 - [c2]Brais Martínez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos:
Training binary neural networks with real-to-binary convolutions. ICLR 2020 - 2018
- [c1]Adrian Bulat, Jing Yang, Georgios Tzimiropoulos:
To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First. ECCV (6) 2018: 187-202
Informal and Other Publications
- 2023
- [i9]Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
Unicom: Universal and Compact Representation Learning for Image Retrieval. CoRR abs/2304.05884 (2023) - [i8]Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. CoRR abs/2308.08428 (2023) - 2022
- [i7]Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu:
Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC. CoRR abs/2203.15565 (2022) - [i6]Jing Yang, Xiatian Zhu, Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos:
Knowledge Distillation Meets Open-Set Semi-Supervised Learning. CoRR abs/2205.06701 (2022) - [i5]Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic:
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection. CoRR abs/2211.06143 (2022) - 2021
- [i4]Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos:
Pre-training strategies and datasets for facial representation learning. CoRR abs/2103.16554 (2021) - 2020
- [i3]Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos:
Knowledge distillation via adaptive instance normalization. CoRR abs/2003.04289 (2020) - [i2]Brais Martínez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos:
Training Binary Neural Networks with Real-to-Binary Convolutions. CoRR abs/2003.11535 (2020) - 2018
- [i1]Adrian Bulat, Jing Yang, Georgios Tzimiropoulos:
To learn image super-resolution, use a GAN to learn how to do image degradation first. CoRR abs/1807.11458 (2018)
Coauthor Index
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