Xiaolong Wang
Juil Koo
Description: Multimodalities for 3D Scenes, CVPR 2024 Workshop
workshop (5446) machine learning (3689) computer vision (833) computer graphics (392) visual learning (30) audio processing (22)
Human sensory experiences such as vision, audio, touch, and smell are the natural interfaces to perceive the world around us and reason about our environments. Understanding the 3D environments around us is important for many applications such as video processing, robotics, or augmented reality. While there have been a lot of efforts in understanding 3D scenes in recent years, most works (workshops) focus on mainly using vision to understand 3D scenes. However, vision alone does not fully capture the proper
Call for papers: We invite non-archival papers of up to 8 pages (in CVPR format) for work on tasks related to the intersection of multimodalities and 3D object understanding in real-world scenes. Paper topics may include but are not limited to:
Submission: We encourage submissions of up to 8 pages, excluding references and acknowledgements. The submission should be in the CVPR format. Reviewing will be single-blind. Accepted papers will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. We welcome already published papers that are within the scope of the workshop (without re-formatting), including papers from the main CVPR conference. Please submit your paper to the following addres
Xiaolong Wang
Juil Koo