CoTracker is a model for tracking any point (pixel) on a video.

CMake example for modular systems

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Efficient Training of Audio Transformers with Patchout

SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.

Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.

Implementation of the Wave-U-Net for audio source separation

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Object Detection and Multi-Object Tracking

로또 미션을 진행하는 저장소

숫자 야구 게임 미션을 진행하는 저장소

온보딩 미션을 진행하는 저장소

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Open3D: A Modern Library for 3D Data Processing

Monocular Depth Estimation Toolbox based on MMSegmentation.

Project for BackEnd of SLAM

An extension of Open3D to address 3D Machine Learning tasks

Improved Wave-U-Net implemented in Pytorch

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"