CVPR, short for the Conference on Computer Vision and Pattern Recognition, is held once a year. It is one of the premier academic conferences in computer vision worldwide, focusing on frontier research related to image processing, pattern recognition and computer vision. CVPR 2025 was held from June 11 to 15, 2025 in Nashville, USA. A total of ten papers by faculty and students of the School of Artificial Intelligence, Jilin University have been accepted by the conference.
1. OmniStyle: Filtering High Quality Style Transfer Data at ScaleFirst author: Ye Wang (PhD student, 2022 cohort) Supervising faculty: Rui Ma
2. FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free PromptsFirst author: Tongyuan Bai (PhD student, 2023 cohort) Supervising faculty: Rui Ma
3. BOOTPLACE: Bootstrapped Object Placement with Detection TransformersAuthors: Hang Zhou, Xinxin Zuo, Rui Ma (corresponding author), Li Cheng
4. DecoupledGaussian: Object-Scene Decoupling for Physics-Based InteractionAuthors: Miaowei Wang, Yibo Zhang, Rui Ma, Weiwei Xu, Changqing Zou, Daniel Morris
5. FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client VectorsFirst author: Changlong Shi (Master's student, 2022 cohort) Supervising faculty: Dandan Guo, Yi Chang
6. Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt LearningFirst author: Hairui Ren (PhD student, 2022 cohort) Supervising faculty: Dandan Guo, Yi Chang
7. Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationFirst author: Jiani Ni (Master's student, 2023 cohort) Supervising faculty: Dandan Guo
8. LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion ModelFirst author: Qian Wang (Master's student, 2023 cohort) Supervising faculty: Xi Yang, Chuntao Li
9. CGMatch: A Different Perspective of Semi-supervised LearningFirst author: Bo Cheng (PhD student, 2021 cohort) Supervising faculty: Lan Du, Yuan Tian, Yi Chang
10. Query Efficient Black-Box Visual Prompting with Subspace LearningCo-first authors: Zhaogeng Liu (PhD student, 2020 cohort), Haozhen Zhang (Master's student, 2023 cohort) Co-supervising faculty: Bin Gu, Yi Chang
