no code implementations • 28 Sep 2023 • Ke Yu, Stephen Albro, Giulia Desalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure.
no code implementations • CVPR 2022 • Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas Funkhouser
Our model builds a panoptic radiance field representation of any scene from just color images.
no code implementations • 21 Oct 2021 • Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas Funkhouser
With the recent growth of urban mapping and autonomous driving efforts, there has been an explosion of raw 3D data collected from terrestrial platforms with lidar scanners and color cameras.
Ranked #8 on LIDAR Semantic Segmentation on nuScenes
no code implementations • 23 Mar 2021 • Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li
Scale-permuted networks have shown promising results on object bounding box detection and instance segmentation.
Ranked #5 on Semantic Segmentation on PASCAL VOC 2012 val
1 code implementation • ECCV 2020 • Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, Caroline Pantofaru
Features from multiple per view predictions are finally fused on 3D mesh vertices to predict mesh semantic segmentation labels.
Ranked #12 on Semantic Segmentation on ScanNet