Our Visit at International Conference on Computer Vision (ICCV) 2023

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Our Visit at International Conference on Computer Vision (ICCV) 2023

PARADOX CAT at #ICCV2023 🥐

Dr. Johan von Forstner

AI R&D Architect @ PARADOX CAT GmbH

International Conference on Computer Vision Oral Session
One of the oral sessions, Photo: ICCV

In October 2023, I attended the ICCV in Paris—one of the top global conferences in Computer Vision. Representing Paradox Cat’s AI division, which focuses on interior sensing and HMI systems for vehicles, I explored the latest research trends and innovations in the field. A particularly insightful tutorial covered the In-Camera rendering pipeline, highlighting how raw sensor data is transformed into images using modern AI techniques. The conference showcased a wide range of interdisciplinary work, underlining how rapidly the field is evolving and blending into other domains.

Overview

Attending ICCV 2023 in Paris

Johan standing infront of a ICCV23 banner
Finally arrived at the entrance to ICCV

In October 2023, I had the great opportunity to join the International Conference on Computer Vision (ICCV), one of the top scientific conferences in the Computer Vision field, which was held in Paris this year. Our AI division at Paradox Cat is working on new technologies for interior sensing and HMI interaction in vehicles, so joining ICCV was a perfect way to learn about the latest research in the field using my Paradox Cat training budget.

Kicking Off with Cameras and Algorithms

After getting off the train on which I had been speeding through the French countryside at 320 km/h, I headed directly to the conference venue at Paris Expo Porte de Versailles, where the workshops and tutorial sessions were already ongoing. I joined the tutorial on Understanding the In-Camera Rendering Pipeline and the Role of AI/Deep Learning, which gave an extensive background on how modern cameras perceive the world and which algorithms are needed to turn the raw sensor output into beautiful images.

Main Conference Highlights

The following three days constituted the main conference, with two tracks of oral sessions, as well as poster sessions in between. Certainly by now, it became clear that the field of Computer Vision and AI is really exploding — with many poster sessions rivaling the Paris Métro in terms of crowding, it was not always easy to push one’s way through towards the poster one wanted to see. Especially presentations from the well-known Big Tech companies and the award-winning papers like Tracking Everything Everywhere All at Once, Segment Anything and ControlNet received their well-deserved attention.

many people looking at the poster session at ICCV23
Packed poster session at ICCV 2023

Interdisciplinary Trends and Insights

It was also interesting to see that Computer Vision is becoming very interdisciplinary, in the sense that many methods are not just bound to specific problems, but are often applied all across the field and combined in new creative ways. This also meant that it probably became pretty hard for the conference organizers to group the papers into distinct sessions, and there really was something interesting in almost every session.

Inspiring Keynotes and Takeaways

Besides the oral and poster sessions, the final two days also incorporated two invited keynote sessions. Especially the talk from Pushmeet Kohli (Google DeepMind) was very inspiring, giving an insight to how DeepMind is using AI to help solve hard problems in science, such as their recent success predicting protein structures with AlphaFold.

HuggingFace 🤗 Open Source AI community event at STATION F
HuggingFace 🤗 Open Source AI community event at STATION F
johan and a llama infant of iccv
Trying to talk to the LLaMAs at the entrance

Merci, Paris!

Au revoir, et merci beaucoup, Paris 🥐🇫🇷!
Thanks a lot to the ICCV 2023 organizers for this great event, and thank you to Paradox Cat for letting me participate! I hope that we can also present some of our own work at a future conference.

Related articles

As a company that specializes in in-cabin AI applications, we hosted a World Café session on the topic of architecting robust machine learning systems for HMI interaction within autonomous vehicles, moderated by Johan von Forstner (Principal Machine Learning Engineer) and Alexander Schaub (Director Development).

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