Jing Yang

I am a Research Associate at Core LAB at University of Cambridge, where I work on GenAI with Prof. Cengiz Öztireli.

Before that, I received a PHD from the University of Nottingham under the supervision of Prof. Georgios (Yorgos) Tzimiropoulos.

Email  /  Google Scholar  /  Github /  Linkedin

GFG

Selected Publications

I am interested in many areas of Computer Vision - my research focuses on deep face analysis and model compression. Recently, I have been exploring the intersection of 3D Computer Vision, Computer Graphics and Generative Models.

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
ICCV, 2023
paper / code

Toward Robust Facial Action Units’ Detection
Jing Yang, Yordan Hristov, Jie Shen, Yiming Lin, Maja Pantic
Proceedings of the IEEE, 2023
paper / code

FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic
WACV, 2023
paper / code

Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An, Jiankang Deng, Kaicheng Yang, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
ICLR, 2023
paper / code

Pre-training strategies and datasets for facial representation learning
Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
ECCV, 2022
paper / code

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
CVPR, 2022
paper / code

Knowledge distillation via softmax regression representation learning
Jing Yang, Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
ICLR, 2021
paper / code /extention

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition learning
Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
AAAI, 2020
paper

Training binary neural networks with real-to-binary convolutions
Brais Martinez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
ICLR, 2020
paper / code

To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat*, Jing Yang*, Georgios Tzimiropoulos
ECCV, 2018,*Equal contribution
paper / code

Website inspired by Jon Barron.