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Great Success at the International Conference on Computer Vision Conference, ICCV 2023

| Press release | Health & Medicine | Industry 4.0 | Farming & Agricultural Technology | Mobility | Environment & Energy | Human-Machine Interaction | Robotics | Virtual & Augmented Reality | Augmented Vision | Kaiserslautern

The IEEE/CVF International Conference in Computer Vision (ICCV) is the most important international event on computer vision.


With no less than four accepted papers, the DFKI research area Augmented Vision was represented at the ICCV 2023 conference from October 2 to 6 in Paris, France.

The 4 accepted papers are:

  1. U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
    Yan Di, Chenyangguang Zhang, Ruida Zhang, Fabian Manhardt, Yongzhi SuJason Raphael RambachDidier Stricker, Xiangyang Ji, Federico Tombari
  2. FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. 
    Khurram Azeem Hashmi, Goutham Kallempudi, Didier StrickerMuhammad Zeshan Afzal
  3. Introducing Language Guidance in Prompt-based Continual Learning 
    Muhammad Gulzain Ali Khan, Muhammad Ferjad Naeem; Luc Van Gool; Federico  Tombari;  Didier Stricker, Muhammad Zeshan Afzal
  4. DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport 
    ICCV Workshop
    Sk Aziz Ali, Djamila Aouada, Gerd Reis, Didier Stricker

In addition, the scientists from the research area won no less than three first prizes at the conference.

DFKI's VPraveen Nathan, Sandeep Inuganti, Yongzhi Su and Jason Rambach, all from the Augmented Vision research department, won three first-place awards in the prestigious 2023 BOP Object Pose Estimation Challenge in the categories of

  • Overall Best RGB Method, 
  • Overall Best Segmentation Method and 
  • The Best BlenderProc-Trained Segmentation Method.

The BOP benchmark and challenge address the problem of 6-degree-of-freedom object pose estimation, which is of great importance for many applications such as robot grasping or augmented reality.

The awards were accepted by Yongzhi Su and Dr. Jason Rambach on behalf of the DFKI team and were followed by a short presentation of the method. The award-winning method was based on the CVPR 2022 paper "ZebraPose".

The winning approach was developed by a team led by DFKI's Augmented Vision research unit, which also included researchers from Zhejiang University.

Further information:
Website of the ICCV