Jing Yang

According to our database, Jing Yang authored at least 28 papers between 2015 and 2025.

Collaborative distances:

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

2025

Knowledge Distillation Meets Open-Set Semi-supervised Learning.

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

Int. J. Comput. Vis., January, 2025

2024

Graph in Graph Neural Network.

Jiongshu Wang, Jing Yang, Jiankang Deng, Hatice Gunes, Siyang Song

CoRR, 2024

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

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

Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection.

Hui Shuai, Qingshan Liu, Kaihua Zhang, Jing Yang, Jiankang Deng

IEEE Access, 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

2017

Adaptive Cascade Regression Model For Robust Face Alignment.

Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao

IEEE Trans. Image Process., 2017

Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.

Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu

IEEE Trans. Cybern., 2017

Robust facial landmark tracking via cascade regression.

Qingshan Liu, Jing Yang, Jiankang Deng, Kaihua Zhang

Pattern Recognit., 2017

Face image retrieval based on shape and texture feature fusion.

Zongguang Lu, Jing Yang, Qingshan Liu

Comput. Vis. Media, 2017

Stacked Hourglass Network for Robust Facial Landmark Localisation.

Jing Yang, Qingshan Liu, Kaihua Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

FaceHunter: A multi-task convolutional neural network based face detector.

Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu

Signal Process. Image Commun., 2016

M³ CSR: Multi-view, multi-scale and multi-component cascade shape regression.

Jiankang Deng, Qingshan Liu, Jing Yang, Dacheng Tao

Image Vis. Comput., 2016

Robust object tracking by online Fisher discrimination boosting feature selection.

Jing Yang, Kaihua Zhang, Qingshan Liu

Comput. Vis. Image Underst., 2016

2015

基于稀疏级联回归的快速人脸配准方法及其在移动设备上的应用 (Fast Face Alignment Method Based on Sparse Cascade Regression and its Application on Mobile Devices).

Jiankang Deng, Jing Yang, Yubao Sun, Qingshan Liu

计算机科学, 2015

Hierarchical Convolutional Neural Network for Face Detection.

Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu

Proceedings of the Image and Graphics - 8th International Conference, 2015

Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression.

Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015