Whaaat the hack?

Why do we need a Workshop on Computer Vision Challenges in Industry?

Over the last years, the world-wide computer vision and machine learning community has grown significantly. Within this growing field, the academic research institutions of German-speaking countries play a substantial and still increasing role, which can be easily seen in the number of international collaborations and the number of papers in highest-ranked venues. Despite this strong competence, the participation of industrial computer vision researchers from German-speaking countries on *the* local conference in the field, the German Conference on Pattern Recognition (GCPR), is scant.

As one consequence, the exchange between academia and industry in German-speaking countries is substantially weaker than in other countries, e.g., compared to the US. This lack of exchange happens both on the level of content (i.e., comparably few joint research projects) and on the level of personal exchange (e.g., rarely happening internships during PhDs). However, both sides would greatly benefit from an improved exchange, e.g., by having joint research projects with real-world impact, by enabling reliable career paths for students, or by drawing inspiration from regular discussions on the boundary of fundamental and applied research. This workshop tries to bridge the gap between results of basic research on computer vision and their real-world applicability with a joint exchange forum.

Program

The workshop will be comprised of invited talks from well-known scientists from the German industry sector and a lively discussion on recently challenging topics from an industry perspective. Thereby, the workshop aims at reaching the following goals:

  • Bring together researchers from industry and academia working on pattern recognition, machine learning, and computer vision and its applications
  • Highlighting recent challenges in industrial research to demonstrate the potential impact of upcoming fundamental research
  • Exchange best-practices, brave new ideas, and shortcomings when transferring academic research results into industry projects
  • Fostering collaborations among PIs from academia and industry
The detailed program will follow soon!

Participation

The following topics will be covered in the workshop:

  • Presentation of recent industrial challenges in established computer vision fields, such as classification, segmentation, novelty detection, or 3D object detection
  • An overview on most pressing problems from an application perspective
  • Problems and solutions for dealing with small amounts of data in real-world applications
  • Discussing future trends in industry and where the community can contribute
No matter if you're a student, PhD student, PostDoc, group leader, PI, industrial researcher, or project team lead - we invite you to participate!