State-of-the-art performance across datasets (KITTI, nuScenes, Argoverse, and a newly introduced GTA dataset)

Project page: zvocvpr.github.io

1) We show a geometry-guided, cross-attention architecture enables robust VO generalization, including under noisy estimated camera parameters.

(2) We develop a novel multimodal semi-supervised training framework that facilitates further generalization.

JP Williams – Blind singer, songwriter, and accessibility tech professional

And yes… there will be live music (we are in Nashville, after all)

accessibility-cv.github.io

Kristen Grauman – UT Austin - Video Understanding for Accessible Skill Learning

Gül Varol – École des Ponts ParisTech - Towards Open-Vocabulary Sign Language Translation

Bolei Zhou – UCLA - AI-assisted Micro-mobility through Large-scale Real2Sim Simulation

👇

I do hope more companies will join - we really could use more participants... But hard for me to see that happening currently - I think we may need one more research cycle of generalist AI agents, then things can democratize a bit and companies can productize more easily.

Maybe LLM response?

Lidar is great for self-supervision, but tesla can get very similar data (with pseudo-lidar/dense monodepth maturing), and using offline video with past/future temporal consistency to resolve remaining ambiguities.

Unless openreview crashes 😀

Amazing work - continual learning could help scale further infdriver.github.io

Musicals are definitely worst on the list😀