PARADOX CAT at #ICCV2023 š„
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.
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.
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 ā with many poster sessions rivaling the Paris MĆ©tro in terms of crowding, it was not always easy to push oneās 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.
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.
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.
Au revoir, et merci beaucoup, Paris š„š«š·!
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.
