[TPAMI] A One-Stage Domain Adaptation Network with Image Alignment for Unsupervised Nighttime Semantic Segmentation[PDF][Code]
Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang.
About me
I am currently a principal engineer and researcher at HONOR. My research interests include 3D reconstruction&generation, neural rendering, and low-level vision.
Before joining HONOR, I received my Ph.D. degree from University of South Carolina under the supervision of Prof. Song Wang and Prof. Lili Ju in 2022. Before that, I received my B.S. in College of Intelligence and Computing from Tianjin University in 2018.
I'm seeking research interns on low-level vision and NeRF-based neural rendering. Feel free to send me an email if you are interested.
News
[Nov. 19, 2022] Two papers accepted at AAAI 2023.
[July 3, 2022] Four papers accepted at ECCV 2022.
[June 29, 2022] One paper accepted at ACMMM 2022.
[Dec. 21, 2021] One paper accepted at TPAMI.
Selected Publications
[AAAI 2022] Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation [PDF][Code]
Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang.
[CVPR 2021 Oral] DANNet: A One-Stage Domain Adaption Network for Unsupervised Nighttime Semantic Segmentation [PDF][Code]
Zhenyao Wu, Xinyi Wu, Hao Guo, Lili Ju, Song Wang.
[CVPR 2021] From Shadow Generation to Shadow Removal [PDF][Code]
Zhihao Liu, Hui Yin, Xinyi Wu, Zhenyao Wu, Yang Mi , Song Wang.
[AAAI 2021] Binaural Audio-Visual Localization [PDF][Data]
Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang.
[AAAI 2020] SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-based ConvLSTM [PDF]
Xinyi Wu, Zhenyao Wu, Jinglin Zhang, Lili Ju, Song Wang.
[ICCV 2019] Spatial Correspondence with Generative Adversarial Network: Learning Depth from Monocular Videos [PDF][Results]
Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju.
[ICCV 2019] Semantic Stereo Matching with Pyramid Cost Volumes [PDF][Results]
Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju.
Internships
Applied Scientist Intern, Amazon, New York, NY.
May-Nov, 2021. Work with Sonny Hu, Dr.Amit Agrawal, and Dr.Larry Davis.
Service
Program Committee/Reviewer: CVPR(2020/2021/2022/2023), ICCV(2021), ECCV(2022), AAAI(2020/2021/2022/2023), NeurIPS(2020/2021/2022/2023), ICLR(2021), IJCAI(2022), ACMMM(2022), WACV(2020/2021), ACCV(2020), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Pattern Recognition Letters, IET Computer Vision.