Pinned Repositories
Anomaly_Explanation
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
benchmark_sparse
Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.
CoFormer
[CVPR'22] Official PyTorch Implementation of Collaborative Transformers for Grounded Situation Recognition
FastPointTransformer-VoteNet
A forked repo from Torch-Points3D for VoteNet with the Fast Point Transformer backbone.
RIST
[CVPR 2024] Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Open3D
Open3D: A Modern Library for 3D Data Processing
ECCV22-PointMixer
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
point-transformer
This is an unofficial implementation of the Point Transformer paper.
chrockey's Repositories
chrockey/benchmark_sparse
Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.
chrockey/FastPointTransformer-VoteNet
A forked repo from Torch-Points3D for VoteNet with the Fast Point Transformer backbone.
chrockey/RIST
[CVPR 2024] Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
chrockey/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
chrockey/CoFormer
[CVPR'22] Official PyTorch Implementation of Collaborative Transformers for Grounded Situation Recognition
chrockey/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
chrockey/Anomaly_Explanation
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
chrockey/chrockey.github.io
My homepage
chrockey/DBSherlock
chrockey/dotfiles
chrockey/ECCV22-PointMixer
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
chrockey/EDA_Framework
chrockey/FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
chrockey/fifo
[CVPR 2022 Oral] Official PyTorch implementation of FIFO
chrockey/Hierarchical-Localization
Visual localization made easy with hloc
chrockey/Implicit_Dense_Correspondence
chrockey/KeypointNeRF
KeypointNeRF Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
chrockey/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
chrockey/Mitsuba2PointCloudRenderer
rendering (optionally temporal) point clouds using Mitsuba2
chrockey/nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
chrockey/octformer
OctFormer: Octree-based Transformers for 3D Point Clouds
chrockey/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
chrockey/REKD
[CVPR 2022] Official PyTorch implementation of "Official Self-Supervised Equivariant Learning for Oriented Keypoint Detection"
chrockey/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
chrockey/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
chrockey/table-to-text
Table-to-Text Summarization Model
chrockey/text2SQL
Text-to-SQL Translation Model
chrockey/torch-points3d
Pytorch framework for doing deep learning on point clouds.
chrockey/vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
chrockey/vnn-pc
Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet