Bosch Research at the Conference on Computer Vision and Pattern Recognition

The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) will take place from June 11-15, 2025 in Nashville, USA.

It is the most important annual event on AI and computer vision and includes the main conference as well as several workshops and courses.

CVPR attendees come from a wide range of backgrounds, from students to academics and researchers from industry.

At CVPR 2025, Bosch Research (BCAI) will showcase its latest advancements in AI and computer vision through impactful talks and papers.

Dr. Liu Ren, Vice President & Chief Scientist of Scalable and Assistive AI from Bosch Research and BCAI, will deliver a keynote on ADAS AI at the Workshop on Distillation of Foundation Models for Autonomous Driving, alongside thought leaders and researchers from Waabi, Nvidia, Waymo, Wayve, and the University of Hong Kong.

Bosch Research (BCAI) will also present several cutting-edge papers addressing complex challenges in AI and computer vision. Selected highlights include:

• Xin Ye, Burhaneddin Yaman, Sheng Cheng, Feng Tao, Abhirup Mallik, Liu Ren, “BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance”, CVPR 2025 Highlight
• Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh, Xinyu Huang, Liu Ren, “Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera”, CVPR 2025
• Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren, “Open Ad-hoc Categorization with Contextualized Feature Learning”, CVPR 2025
• David T. Hoffmann, Syed Haseeb Raza, Hanqiu Jiang, Steffen Klingenhoefer, Denis Tananaev, Martin Meinke, “Floxels: Fast Unsupervised Voxel-Based Scene Flow Estimation”, CVPR 2025
• Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg, “EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory”, CVPR 2025
• Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad, “LUMINET: Image-based Indoor Scene Relighting via Latent Intrinsics”, CVPR 2025