Shengsen Wu
I am currently employed at Perception Team, Weride Inc., where I am primarily focused on computer vision and autonomous driving projects such as metric learning, object re-identification, and scene understanding. In 2022, I completed my M.S. degree at the National Engineering Research Center of Visual Technology (NELVT), Peking University under the guidance of Prof. Ling-Yu Duan. Prior to that, I earned a B.E. degree in software engineering from Xiamen University in 2019.
Publications
2023
- Switchable Representation Learning Framework With Self-CompatibilityIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2023
- Coarse-to-fine Disentangling Demoiréing Framework for Recaptured Screen ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence, Jun 2023
- Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature LearningIEEE Transactions on Multimedia, Jun 2023
2022
2021
- Neighborhood Consensus Contrastive Learning for Backward-Compatible RepresentationIn AAAI Conference on Artificial Intelligence , Jun 2021
- Person Retrieval with Conv-TransformerIn 2021 IEEE International Conference on Multimedia and Expo (ICME) , Jun 2021
2020
- Extending Hashing Towards Fast Re-IdentificationIn 2020 IEEE International Conference on Image Processing (ICIP) , Jun 2020
Honors
Outstanding Graduate of Peking University, 2022
Awards
Silver Medal, China Collegiate Programming Contest (Qinghuangdao), 2017
Silver Medal, The ACM International Collegiate Programming Contest Asia Regional Contest (Nanning), 2017