Due to requests at #ECCV2022 and to make our #MapFreeReloc dataset useful for more tasks, we make the SfM reconstructions of our train set publicly available.

🔥460 SfM models of outdoor scenes all around the world 🔥
https://research.nianticlabs.com/mapfree-reloc-benchmark/dataset

Want to train 460 NeRFs? Go ahead.

The most impactful paper that I was (co)first author on was “VQGAN-CLIP: Open domain image generation and editing with natural language guidance.” This paper was about a methodology that @rivershavewings @Adverb and others developed in the summer of 2021, but a paper never got written up about it. I performed the systematic experiments that never happened when it came out and wrote most of the text itself. I had a blast presenting it at #ECCV2022 this October

https://arxiv.org/abs/2204.08583

Slides and videos from our #eccv2022 tutorial "Self-Supervision on Wheels: Advances in Self-Supervised Learning from Autonomous Driving Data" are now available:
- video: https://www.youtube.com/watch?v=RhNZUyOubfE
- webpage: https://gidariss.github.io/ssl-on-wheels-eccv2022/

Missed #ECCV2022 ?

Don’t worry: first author Iuliia Pliushch will present our work

“When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics”

in the upcoming #ContinualAI seminar!

Tune in on Thursday 24th 15:30 UTC:
https://www.youtube.com/watch?v=cuoGtsO1pKk

Abstract in image/alt-text ⬇️