3 papers
cs.CV2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
Mehar Khurana, Neehar Peri, James Hays +1
State-of-the-art 3D object detectors are often trained on massive labeled datasets. However, annotating 3D bounding boxes remains prohibitively expensive and time-consuming, partic…
cs.CV2024
I Can't Believe It's Not Scene Flow!
Ishan Khatri, Kyle Vedder, Neehar Peri +2
Current scene flow methods broadly fail to describe motion on small objects, and current scene flow evaluation protocols hide this failure by averaging over many points, with most…
cs.CV2023
Lidar Panoptic Segmentation and Tracking without Bells and Whistles
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar +5
State-of-the-art lidar panoptic segmentation (LPS) methods follow bottom-up segmentation-centric fashion wherein they build upon semantic segmentation networks by utilizing cluster…