I am currently an associate professor at the State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University. I obtained my Ph.D degree from Beihang University in November 2021, supervised by Prof. Jia Li. From November 2021 to January 2024, he engaged in Boya postdoctoral researcher at the National Engineering Research Center of Visual Technology at Peking University, working with Prof. Yonghong Tian.

My research interests include multi-modal visual understanding, fine-grained visual object analysis, and AR/VR content generation. I have published 28 CCF-A papers such as TPAMI, IJCV, CVPR/ICCV, and NeurIPS, and was awarded the Outstanding Reviewer of ICCV2021 and NeurIPS2023 and the Champion of FGVC8-iMET Challenge of the CVPR2021 Conference.

He is a member of CVTEAM. Lab Page: Github Page:

Email: zhaoyf@buaa.edu.cn

🔥 News

• 2024.02:  🎉🎉 I joined the School of Computer Science and Engineering, at Beihang University.

📝 Publications

• Parsing Objects at a Finer Granularity: A Survey, Yifan Zhao Jia Li^*, Yonghong Tian^* Machine Intelligence Research (MIR) 2024 [Survey Paper]

• Sensitivity Decouple Learning for Image Compression Artifacts Reduction, Li Ma^#, Yifan Zhao^#, Peixi Peng, Yonghong Tian, IEEE Transactions on Image Processing (TIP) 2024

• SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream, Lin Zhu, Kangmin Jia, Yifan Zhao, Yunshan Qi, Lizhi Wang, Hua Huang, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

• DR2: Disentangled Recurrent Representation Learning for Data-Efficient Speech Video Synthesis, Chenxu Zhang, Chao Wang, Yifan Zhao, Shuo Cheng, Linjie Luo, Xiaohu Guo, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024

• Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning, Yifan Zhao^#, Zhang Tong^#, Li Jia^*, Tian Yonghong^*, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2023

• Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition, Cheng Chen^#, Yifan Zhao^#, Li Jia^*, International Journal of Computer Vision (IJCV) 2023

• Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning, Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian, Advances in Neural Information Processing Systems (NeurIPS) 2023

• Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning, Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian, IEEE International Conference on Computer Vision (ICCV) 2023

• Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation, Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian, IEEE International Conference on Computer Vision (ICCV) 2023

• Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning, Zeyin Song^#, Yifan Zhao^#, Yujun Shi, Peixi Peng^*, Li Yuan, Yonghong Tian^*, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023

• Invariant and consistent: Unsupervised representation learning for few-shot visual recognition, Heng Wu,Yifan Zhao, Jia Li^*, Neurocomputing 2023

• 局部关系泛化表征的小样本增量学习, 赵一凡， 李甲^*， 田永鸿^*, 中国科学：信息科学 2023 (CCF-A中文期刊)

• From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation, Yifan Zhao, Yu Zhang, Li Jia^*, Tian Yonghong, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2022

• Joint self-supervised and reference-guided learning for depth inpainting , Heng Wu, Kui Fu, Yifan Zhao, Haokun Song, Jia Li, Computational Visual Media (CVMJ) 2022

• Picking Up Quantization Steps for Compressed Image Classification , Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2022

• Revisiting stochastic learning for generalizable person re-identification , Jiajian Zhao^#, Yifan Zhao^#,Xiaowu Chen, Jia Li, ACM International Conference on Multimedia (MM) 2022

• Spectrum Random Masking for Generalization in Image-based Reinforcement Learning, Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian, Advances in Neural Information Processing Systems (NeurIPS) 2022

• Part-guided relational transformers for fine-grained visual recognition, Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian, IEEE Transactions on Image Processing (TIP) 2021

• M3tr: Multi-modal multi-label recognition with transformer, Jiawei Zhao, Yifan Zhao, Jia Li, ACM International Conference on Multimedia (MM) 2021

• Pose-guided inter-and intra-part relational transformer for occluded person re-identification, Zhongxing Ma, Yifan Zhao, Jia Li, ACM International Conference on Multimedia (MM) 2021

• RGB-D salient object detection with ubiquitous target awareness, Yifan Zhao, Jiawei Zhao, Jia Li, Xiaowu Chen, IEEE Transactions on Image Processing (TIP) 2021

• Selective, structural, subtle: Trilinear spatial-awareness for few-shot fine-grained visual recognition, Heng Wu, Yifan Zhao, Jia Li, IEEE International Conference on Multimedia and Expo (ICME) 2021

• DanceIt: music-inspired dancing video synthesis, Xin Guo, Yifan Zhao, Jia Li, IEEE Transactions on Image Processing (TIP) 2021

• Ordinal Multi-task Part Segmentation with Recurrent Prior Generation, Yifan Zhao, Yu Zhang, Yafei Song, Li Jia^*, Tian Yonghong, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2021

• Transformer-based dual relation graph for multi-label image recognition, Jiawei Zhao, Ke Yan, Yifan Zhao, Xiaowei Guo, Feiyue Huang, Jia Li, IEEE International Conference on Computer Vision (ICCV) 2021

• Heterogeneous relational complement for vehicle re-identification, Jiajian Zhao^#, Yifan Zhao^#, Jia Li, Ke Yan, Yonghong Tian, IEEE International Conference on Computer Vision (ICCV) 2021

• Facial: Synthesizing dynamic talking face with implicit attribute learning, Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo, IEEE International Conference on Computer Vision (ICCV) 2021

• Graph-based high-order relation discovery for fine-grained recognition, Yifan Zhao, Ke Yan, Feiyue Huang, Jia Li, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

• Cooperative bi-path metric for few-shot learning, Zeyuan Wang, Yifan Zhao, Jia Li, Tian Yonghong, ACM International Conference on Multimedia (MM) 2020

• Cartoon Face Recognition: A Benchmark Dataset, Yi Zheng, Yifan Zhao, Mengyuan Ren, He Yan, Xiangju Lu, Junhui Liu, Jia Li, ACM International Conference on Multimedia (MM) 2020

• Is Depth Really Necessary for Salient Object Detection?, Jiawei Zhao^#, Yifan Zhao^#, Jia Li, Xiaowu Chen, ACM International Conference on Multimedia (MM) 2020

• Reconstructing part-level 3D models from a single image, Dingfeng Shi, Yifan Zhao, Jia Li, Xiaowu Chen, IEEE International Conference on Multimedia and Expo (ICME) 2020

• Cross-reference stitching quality assessment for 360 omnidirectional images, Jia Li, Kaiwen Yu, Yifan Zhao, Yu Zhang, Long Xu, ACM International Conference on Multimedia (MM) 2019

• Multi-class part parsing with joint boundary-semantic awareness, Yifan Zhao, Jia Li, Yu Zhang, Tian Yonghong, IEEE International Conference on Computer Vision (ICCV) 2019

• Part-regularized near-duplicate vehicle re-identification, Bing He, Jia Li, Yifan Zhao, Tian Yonghong, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

💻 Research Projects

MIR 2024

Paper

Yifan Zhao, Jia Li, Tian Yonghong, Parsing Objects at a Finer Granularity: A Survey, Machine Intelligence Research (MIR) 2024.

Project

• Fine-grained Recognition and Segmentation: A Survey.

ICCV 2019

Paper

Yifan Zhao, Jia Li, Yu Zhang, Tian Yonghong, Multi-class part parsing with joint boundary-semantic awareness, IEEE International Conference on Computer Vision (ICCV) 2019.

Project

• First Multi-class Part Segmentation Dataset, Oral (Top 4.3%).

📖 Education and Experiences

• 2024.02 - Now, Associate Professor, Beihang University.
• 2021.11 - 2024.01, Boya Postdoctoral Researcher, Peking University.
• 2016.09 - 2021.10, Ph.D., Beihang University.
• 2012.09 - 2016.06, B.Eng, Harbin Institute of Technology.

🎖 Honors and Awards

• 2023.10 CSIG Excellent Doctoral Dissertation Award Nomination.
• 2022.06 Excellent Doctoral Dissertation Award of Beihang University.
• 2021.06 Champion of FGVC8-iMET CVPR2021 Challenge.
• ICCV 2021 Outstanding Reviewer, NeurIPS 2023 Outstanding Reviewer.