Stars
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
EDTER: Edge Detection with Transformer, in CVPR 2022
STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
Universal Monocular Metric Depth Estimation
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Pure Numpy Implementation of the Coherent Point Drift Algorithm
# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # This program is free software; you can redistribute it and/or modify # it under the t…
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
An implementation of 3D Deep Learning and Traditional Computer Vision techniques to accurately upsample point clouds while being edge aware and respecting finer details.
parallel gpu implementation of dbscan using python numba
[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"
[2023 IROS] SSGM: Spatial Semantic Graph Matching for Loop Closure Detection in Indoor Environments
A Monocular depth-estimation for in-the-wild AutoFocus application.
Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.
CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
A research protocol for deep graph matching.