1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation
Rohan Chacko, Nicolai Haeni, Eldar Khaliullin +2
We introduce Lifting By Gaussians (LBG), a novel approach for open-world instance segmentation of 3D Gaussian Splatted Radiance Fields (3DGS). Recently, 3DGS Fields have emerged as…
cs.CV2020★ 1 cited
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
Yichen Shen, Zhilu Zhang, Mert R. Sabuncu +1
Calibrated estimates of uncertainty are critical for many real-world computer vision applications of deep learning. While there are several widely-used uncertainty estimation metho…