Jiyuan Wang

According to our database, Jiyuan Wang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

RePer-360: Releasing Perspective Priors for 360^° Depth Estimation via Self-Modulation.

Cheng Guan, Chunyu Lin, Zhijie Shen, Junsong Zhang, Jiyuan Wang

CoRR, March, 2026

Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing.

Jiyuan Wang, Chunyu Lin, Lei Sun, Zhi Cao, Yuyang Yin, Lang Nie, Zhenlong Yuan, Xiangxiang Chu, Yunchao Wei, Kang Liao, Guosheng Lin

CoRR, March, 2026

Beyond Wide-Angle Images: Structure-to-Detail Video Portrait Correction via Unsupervised Spatiotemporal Adaptation.

Wenbo Nie, Lang Nie, Chunyu Lin, Jingwen Chen, Ke Xing, Jiyuan Wang, Kang Liao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Advancing Real-World Parking Slot Detection With Large-Scale Dataset and Semi-Supervised Baseline.

Zhihao Zhang, Chunyu Lin, Lang Nie, Jiyuan Wang, Yao Zhao

IEEE Trans. Intell. Transp. Syst., December, 2025

From Editor to Dense Geometry Estimator.

Jiyuan Wang, Chunyu Lin, Lei Sun, Rongying Liu, Lang Nie, Mingxing Li, Kang Liao, Xiangxiang Chu, Yao Zhao

CoRR, September, 2025

Beyond Wide-Angle Images: Unsupervised Video Portrait Correction via Spatiotemporal Diffusion Adaptation.

Wenbo Nie, Lang Nie, Chunyu Lin, Jingwen Chen, Ke Xing, Jiyuan Wang, Yao Zhao

CoRR, April, 2025

Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation.

Jiyuan Wang, Chunyu Lin, Cheng Guan, Lang Nie, Jing He, Haodong Li, Kang Liao, Yao Zhao

CoRR, March, 2025

2024

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.

Youfang Lin, Jinji Fu, Haomin Wen, Jiyuan Wang, Zhenjie Wei, Yuting Qiang, Xiaowei Mao, Lixia Wu, Haoyuan Hu, Yuxuan Liang, Huaiyu Wan

CoRR, 2024

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.

Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan

CoRR, 2024

Digging into Contrastive Learning for Robust Depth Estimation with Diffusion Models.

Jiyuan Wang, Chunyu Lin, Lang Nie, Kang Liao, Shuwei Shao, Yao Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions.

Jiyuan Wang, Chunyu Lin, Lang Nie, Shujun Huang, Yao Zhao, Xing Pan, Rui Ai

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions.

Jiyuan Wang, Chunyu Lin, Lang Nie, Shujuan Huang, Yao Zhao, Xing Pan, Rui Ai

CoRR, 2023