11 Papers accepted at CVPR 2024

CAMP is happy to announce that 11 papers have been accepted for the top tier Computer Vision and Pattern Recognition (CVPR) 2024 conference

CAMP is happy to announce that 11 papers have been accepted for the top tier Computer Vision and Pattern Recognition (CVPR) 2024 conference.

The CVPR conference is globally recognized as a premier event in the field, drawing experts, researchers, and innovators from around the world. As scheduled, the upcoming CVPR conference is set to take place from Monday, June 17th, through Friday, June 21st, 2024, at the Seattle Convention Center.

The diverse range of topics covered in the 11 papers reflects the multidisciplinary approach and collaborative efforts within our department. From groundbreaking algorithms to innovative applications, each paper showcases the depth and breadth of our team's contributions to the field.

We extend our congratulations to all the researchers, faculty, and contributors who played a crucial role in this achievement.

Below, you'll find the list of accepted submissions:

01. Junwen Huang, Hao Yu, Kuan-Ting Yu, Nassir Navab, Slobodan Ilic, Benjamin Busam 
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images
Web. https://arxiv.org/abs/2403.01517

02. Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Web. https://arxiv.org/abs/2312.03678

03. Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
Web. https://arxiv.org/abs/2403.00372

04. Alexandros Delitzas, Ayça Takmaz, Federico Tombari, Robert Sumner, Marc Pollefeys, Francis Engelmann
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes

05. Rui Li, Tobias Fischer, Mattia Segu, Marc Pollefeys, Luc Van Gool, Federico Tombari
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning

06. Chenyangguang Zhang, Guanlong Jiao, Yan Di, Gu Wang, Ziqin Huang, Ruida Zhang, Fabian Manhardt, Bowen Fu, Federico Tombari, Xiangyang Ji
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision
Web. https://arxiv.org/abs/2310.11696

07. Ruida Zhang, Chenyangguang Zhang, Yan Di, Fabian Manhardt, Xingyu Liu, Federico Tombari, Xiangyang Ji
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation

08. Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag
CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models
Web. https://arxiv.org/abs/2312.06059

09. Yamei Chen, Yan Di, Guangyao Zhai, Fabian Manhardt, Chenyangguang Zhang, Ruida Zhang, Federico Tombari, Nassir Navab, Benjamin Busam
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
Web. https://arxiv.org/abs/2311.11125

10. Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricke, Jason Rambach, Yu Zhang
Hi-Pose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
Web. https://arxiv.org/abs/2311.12588

11. HyunJun Jung, Guangyao Zhai, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Sven Damian Meier, Daniel Roth, Nassir Navab, Benjamin Busam
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios
Web. https://sites.google.com/view/housecat6d/about