Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

Convert KITTI dataset to ROS bag file the easy way!

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

Convert video to 3D pose in one-key.

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

DeMoN: Depth and Motion Network

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection

Monocular Depth Prediction

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking…

DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)

This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"

Convert between visual object detection datasets

Source Code for the Paper BA-Net: Dense Bundle Adjustment Network

An Unsupervised Learning Framework for Moving Object Detection From Videos

The code and data of DiverseDepth

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task

Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

Trajectory Prediction with Graph-based Dual-scale Context Fusion

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

This is the project page of the paper "Flow-Motion and Depth Network for Monocular Stereo and Beyond''

AutoRF: Learning 3D Object Radiance Fields from Single View Observations (CVPR 2022)

[CVPR 2021] DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud

Kitti on Faster R-CNN (Python implementation)