Jing Yang

According to our database, Jing Yang authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward Robust Facial Action Units' Detection.

Jing Yang, Yordan Hristov, Jie Shen, Yiming Lin, Maja Pantic

Proc. IEEE, October, 2023

FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection.

Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unicom: Universal and Compact Representation Learning for Image Retrieval.

Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ALIP: Adaptive Language-Image Pre-training with Synthetic Caption.

Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Knowledge Distillation Meets Open-Set Semi-Supervised Learning.

Jing Yang, Xiatian Zhu, Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos

CoRR, 2022

Pre-training Strategies and Datasets for Facial Representation Learning.

Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sánchez-Lozano, Georgios Tzimiropoulos

Proceedings of the Computer Vision - ECCV 2022, 2022

Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC.

Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Pre-training strategies and datasets for facial representation learning.

Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos

CoRR, 2021

Knowledge distillation via softmax regression representation learning.

Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos

Proceedings of the 9th International Conference on Learning Representations, 2021

Variational Prototype Learning for Deep Face Recognition.

Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Knowledge distillation via adaptive instance normalization.

Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos

CoRR, 2020

Training binary neural networks with real-to-binary convolutions.

Brais Martínez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos

Proceedings of the 8th International Conference on Learning Representations, 2020

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition.

Jing Yang, Adrian Bulat, Georgios Tzimiropoulos

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First.

Adrian Bulat, Jing Yang, Georgios Tzimiropoulos

Proceedings of the Computer Vision - ECCV 2018, 2018