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March 2024

6 papers accepted at the CVPR conference in department Augmented Vision!

We are proud to announce that the researchers of the department Augmented Vision will present 6 papers at the upcoming CVPR conference taking place Mon Jun 17th through Fri Jun 21st, 2024 at the Seattle Convention Center, Seattle, USA.

The CVPR conference is the premier international conference in computer vision and pattern recognition.

The 6 papers are:

MiKASA: Multi-Key-Anchor Scene-Aware Transformer for 3D Visual Grounding
Chun-Peng Chang, Shaoxiang Wang, Alain Pagani, Didier Stricker

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricker, Jason Rambach, Yu Zhang

SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker

Sparse Semi-Detr: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal

CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
Mohammad Sadil Khan, Elona Dupont, Sk Aziz Ali, Kseniya Cherenkova, Anis Kacem, Djamila Aouada

EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang, Diogo Luvizon, Christian Theobalt, Vladislav Golyanik

Congratulations to the authors for this great achievement!

Best Industrial Paper Award at ICPRAM 2024

DFKI Augmented Vision researcher Mahdi Chamseddine received the Best Industrial Paper award at International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2024 for the paper:

CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization. Mahdi Chamseddine, Jason Rambach, Didier Stricker, ICPRAM 2024

The paper introduces a simplified and improved extrinisic calibration approach for camera-radar systems without the need for external sensing and with additional optimization constraints for added robustness.

DFKI Augmented Vision presented 3 other papers at ICPRAM 2024.

Contact: Mahdi Chamseddine, Dr. Jason Rambach