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Resumes generated using the GitHub informations
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
Multi-threaded generic RANSAC implemetation
A modular framework for neural networks with Euclidean symmetry
Tooling for the Common Objects In 3D dataset.
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
Official implementation of CATs
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Few Shot Semantic Segmentation Papers
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
OpenMMLab's next-generation platform for general 3D object detection.
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
This repository contains implementations and illustrative code to accompany DeepMind publications
Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020
A simple renderer with z-buffer for synthesis data generating.
Release of the YCB-Affordance dataset (CVPR 2020 Oral)
Recent Transformer-based CV and related works.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data