Computer Vision and Machine Learning Researcher

  Disney+Hotstar Ltd, Beijing, China

Hello, I'm Haifang. I am currently working at Disney+, focusing mainly on Computer Vision area. I completed my Bachelor's degree at Peking University in 2016, and later pursued my Master's degree under the guidance of Prof. Yuru Pei, which I obtained in 2019. Following that, I worked at Sensetime Ltd for around 2 years, where I specialized in autonomous driving with a primary focus on perception research. My research interests are diverse and encompass two areas: object detection and instance segmentation of common objects, as well as medical image analysis involving registration and segmentation. I am deeply committed to making a meaningful impact in these fields and actively seek opportunities for collaboration.

Deformable registration of lateral cephalogram and cone‑beam computed tomography image
Yungeng Zhang, Haifang Qin, Peixin Li, Yuru Pei, Yuke Guo, Tianmin Xu, and Hongbin Zha
Medical Physics, 2021
Paper

Image hashing via linear discriminant learning
Weixiang Hong, Yu-Ting Chang, Haifang Qin, Wei-Chih Hung, Yi-Hsuan Tsai, and Ming-Hsuan Yang
Proceedings of the IEEE/CVF winter conference on applications of computer vision(WACV), 2020
Paper

Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network
Yungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma,Tianmin Xu and Hongbin Zha
International Symposium on Biomedical Imaging(ISBI), 2019
Paper

A Top-Down Unified Framework for Instance-level Human Parsing
HaifangQin*, Weixiang Hong*, Wei-Chih Hung, Yi-Hsuan Tsai, and Ming-Hsuan Yang
British Machine Vision Conference (BMVC), 2019
Paper

Masseter segmentation from computed tomography using feature-enhanced nested residual neural network
Haifang Qin, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, and Hongbin Zha
Machine Learning in Medical Imaging (MLMI), 2018
Paper

Path Aggregation Network for Instance Segmentation
Shu Liu*, Lu Qi*, Haifang Qin*, Jianping Shi^†, and Jiaya Jia^†
Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight)
Paper   code

Temporal consistent 2D-3D registration of lateral cephalograms and cone-beam computed tomography images
Yungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, and Hongbin Zha
Machine Learning in Medical Imaging (MLMI), 2018
Paper

Multi-scale volumetric ConvNet with nested residual connections for segmentation of anterior cranial base
Yuru Pei, Haifang Qin, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, and Hongbin Zha
Machine Learning in Medical Imaging (MLMI), 2017
Paper

Non-rigid craniofacial 2D-3D registration using CNN-based regression
Yuru Pei, Yungeng Zhang, Haifang Qin*, Gengyu Ma Yuke Guo, Tianmin Xu, and Hongbin Zha*
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop (DLMIA), 2017
Paper