Pinned Repositories
bag2csv
Create interpolated csv representation from bagged ROS messages
CIT4DNN
CS4501-Spring2021
DFV-Artifact
InputDistributionCoverage
perception_fuzzing
s3c
semLidarFuzz
Semantic LiDAR Fuzzer
SGSM
SpRInG
Leading Engineering for Safe Software's Repositories
less-lab-uva/semLidarFuzz
Semantic LiDAR Fuzzer
less-lab-uva/perception_fuzzing
less-lab-uva/s3c
less-lab-uva/CIT4DNN
less-lab-uva/InputDistributionCoverage
less-lab-uva/SGSM
less-lab-uva/DFV-Artifact
less-lab-uva/SpRInG
less-lab-uva/CS4501-Spring2021
less-lab-uva/less-lab-uva.github.io
less-lab-uva/nuscenes-devkit
The devkit of the nuScenes dataset.
less-lab-uva/PolarSeg
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
less-lab-uva/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
less-lab-uva/CS4501-Fall2022
less-lab-uva/CS4501-Labs
Labs for CS4501 Fall 2022
less-lab-uva/cs4501-robotics-docker
Docker setup for ROS capable of running rviz GUI
less-lab-uva/CS4501-Website
less-lab-uva/Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
less-lab-uva/DecoupleSegNets
Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
less-lab-uva/EfficientPS
PyTorch code for training EfficientPS for Panoptic Segmentation https://rl.uni-freiburg.de/research/panoptic
less-lab-uva/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
less-lab-uva/imaginaire
NVIDIA's Deep Imagination Team's PyTorch Library
less-lab-uva/JS3C-Net
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
less-lab-uva/manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
less-lab-uva/MegaDepth
Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".
less-lab-uva/osmread
Simple library for reading OpenStreetMap XML and PBF data files
less-lab-uva/roadscene2vec
A Tool for Extracting and Embedding Road Scene-Graphs
less-lab-uva/SalsaNext
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
less-lab-uva/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
less-lab-uva/SqueezeSegV3