96 Repositories
Python depth-estimation Libraries
Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding
JointBDOE Code for my paper Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding submitted to ICASSP 2023 Abstract:
🔥OGC in PyTorch (NeurIPS 2022)
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds (NeurIPS 2022) Ziyang Song, Bo Yang Overview We propose the first unsuper
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
MUAD: Multiple Uncertainties for Autonomous Driving Dataset This repository contains some development kits (in PyTorch) that we used for our BMVC 2022
Official Implementation for WACV'23 paper "Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers"
Uplift and Upsample 3D HPE This repository is the official implementation of Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Tr
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
CLIP2Point This repo is the official implementation of "CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training" Introdu
Implementation of WACV 2023 paper "Enhanced Bi-directional Motion Estimation for Video Frame Interpolation"
Enhanced Bi-directional Motion Estimation for Video Frame Interpolation Introduction This project is an implementation of our WACV 2023 paper, Enhance
Official PyTorch implementation of TriHorn-Net
TriHorn-Net This repository contains the PyTorch implementation of TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation. It contains
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
[TPAMI 2022] BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation This is the official implementation of our TPAMI pa
Bayesian simple polynomial and linear regression and model estimation via expected log pointwise predictive density (elpd) of widely applicable information criterion (WAIC)
Bayesian-linear-and-plynomial-regression-and-waic-calculation Bayesian simple polynomial and linear regression and model estimation via expected log p
Depth-Aware Amodal Instance Segmentation Network
DAIS Depth-Aware Amodal Instance Segmentation Network or DAISnet, utilizes depth information to predict amodal instance segmentation using occlusion r
Framework of scene flow estimation model based on point cloud.
OpenPCFlow Introduction A framework of scene flow estimation model based on point cloud. Requirements pytorch = 1.7 numpy numba waymo-open-dataset-tf
Appearance-Independent Pose-Based Posture Classification in Infants (ICPRW2022)
Infant Posture Classification Codes and experiments for the following paper: Xiaofei Huang, Shuangjun Liu, Michael Wan, Nihang Fu, David Li Pino, Bhar
Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances
Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽
Simulation-informed Revenue Extrapolation (SiRE) with confidence estimate for scaleup companies using scarce timeseries data. Overview • Usage • Examp
3D scene reconstruction and camera pose estimation given images from different views (Structure from Motion)
SfM (Structure from Motion - Classical Approach) 3D scene reconstruction and camera pose estimation given images from different views (Structure from
SDA-xNet: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation
SDA-xNet: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation Introduction Existing multi-scale solutions lead to a ris
[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
![[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation](https://github.com/hmhemu/RA-Depth/raw/main/assets/pipeline.png)
RA-Depth This repo is for RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation (arxiv), ECCV2022 If you think it is a useful work,
A code that calculates the uncertainty of the DMM for you! No need to calculate all those uncertainties yourself anymore.
ABOUT THE MULTIMETER-UNCERTAINTY-SIMULATION CODE first of all, the digital multimeter this can be used for is the DMM TTi 1604. If you use another mul
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation Paper link Network Architecture SOTA on 4D Light Field Benchmark Our method
MOVEDepth: Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
MOVEDepth MOVEDepth: Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning arxiv This repository contains the o
Pose estimation code with deepstream and yolo-pose
Pose estimation code with deepstream and yolo-pose
This is an official implementation for "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos" (ECCV 2022)
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos (ECCV 2022) This repo is the official implementation of "SmoothNet: A Plug-and-P
YOLOv7 Pose estimation using OpenCV, PyTorch
yolov7-pose-estimation New Features Added Support for Comparision of (FPS & Time) Graph How to run Code in Google Colab Steps to run Code If you are u
Codes and Datasets of "Spike Transformer: Monocular Depth Estimation for Spiking Camera" in European Conference on Computer Vision (ECCV) 2022.
MDE-SpikingCamera Codes and Datasets of "Spike Transformer: Monocular Depth Estimation for Spiking Camera". Jiyuan Zhang*, Lulu Tang*, Zhaofei Yu $\da
code for Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation Code for "Distribution-Aware Single-Stage Models for Multi-Person 3D Pose E
🚀🚀🚀 YOLO Series of PaddleDetection implementation, PPYOLOE, YOLOX, YOLOv7, YOLOv5, MT-YOLOv6 and so on. 🚀🚀🚀
简介 此代码库是基于PaddleDetection的YOLO系列模型库，支持PP-YOLOE,YOLOv3,YOLOX,YOLOv5,MT-YOLOv6,YOLOv7等模型，其upstream为PaddleDetection的develop分支，并与PaddleDetection主代码库分支同步更新
Self-supervised monocular depth estimation with a vision transformer
MonoViT This is the reference PyTorch implementation for training and testing depth estimation models using the method described in MonoViT: Self-Supe
Official code for BEVDepth - a new 3D object detector with a trustworthy depth estimation
BEVDepth BEVDepth is a new 3D object detector with a trustworthy depth estimation. For more details, please refer to our paper on Arxiv. Updates!! 【20
The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose Estimation
Pose-for-Everything (ECCV'2022 Oral) Introduction Official code repository for the paper: Pose for Everything: Towards Category-Agnostic Pose Estimati
[ECCV 2022] The official repo for the paper "Poseur: Direct Human Pose Regression with Transformers".
Poseur: Direct Human Pose Regression with Transformers Poseur: Direct Human Pose Regression with Transformers, Weian Mao*, Yongtao Ge*, Chunhua Shen,
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing, ECCV 2022
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing Project | YouTube | arXiv Abstract: We present a new lighting estimation and e
[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.
![[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.](https://github.com/SPengLiang/DID-M3D/raw/master/img/DID.png)
DID-M3D Introduction This is the PyTorch implementation of the paper DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection, In ECCV'22,
The code of JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes (ECCV 2022)
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes Haimei Zhao, Jing Zhang, Sen Zhang and Dacheng Tao Accept
Official implementation of Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
Faster VoxelPose This is the official implementation for: Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection, Hang Ye, We
Calibration-free traffic state estimation method using detectors and connected vehicles data
FreeTSE Calibration-free traffic state estimation method using detectors and connected vehicles data Executable version with manual Download How to us
[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"
![[ECCV'22] Official PyTorch Implementation of](https://github.com/postech-ami/FastMETRO/raw/main/assets/visualization_attentions.png)
[ECCV'22] FastMETRO Paper | Project Page This is the official PyTorch implementation of Cross-Attention of Disentangled Modalities for 3D Human Mesh R
Official code and data for HDR ( ECCV 2022)
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal Arxiv | Website | 3D Interacting Hand Pose Estimation by Hand De-occlusion and Re
Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [CVPR 2022] Our Motion Pose and Shape Network (
Latent Discriminant deterministic Uncertainty [ECCV2022]
![Latent Discriminant deterministic Uncertainty [ECCV2022]](https://github.com/ENSTA-U2IS/LDU/raw/main/process.png)
LDU: Latent Discriminant deterministic Uncertainty PyTorch implementation for Latent Discriminant deterministic Uncertainty (ECCV 2022). Paper Abstrac
Code for "Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks"
Self-Supervised Deep Prior Deformation Network Code for "Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformatio
[ECCV 2022] TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
![[ECCV 2022] TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance](https://github.com/yanjh97/TransGrasp/raw/main/pic/overview_of_TransGrasp.png)
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance Hongtao Wen*, Jianhang Yan*, Wanli Pe
[ECCV2022] Official implementation of 'Learning Depth from Focus in the Wild'
Learning Depth from Focus in the Wild [ECCV2022] Official pytorch implementation of "Learning Depth from Focus in the Wild" Paper Contact email : cywo
Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation (2022)
Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation Contact: Zhouping Wang Sarah Ostadabbas Introduction This repository is the of
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
![[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion](https://user-images.githubusercontent.com/30491025/181146351-876d8800-7261-4725-aeb1-b42e416eed01.gif)
Depth from Motion (DfM) This repository is the official implementation for DfM and MV-FCOS3D++. Introduction This is an official release of the paper
This repo is created for experimenting scene flow estimation with integration of RGB point clouds and ResNet features.
RGB LiDAR based Scene Flow This repo is created for experimenting scene flow estimation with integration of RGB point clouds and ResNet features. Sett
Code of ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
🔥 ECCV2022 InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding 📜 Introduction This repository implements our ECCV2022 paper
Markerless kinematics, from OpenPose to OpenSim
Pose2Sim Pose2Sim provides a workflow for 3D markerless kinematics, as an alternative to the more usual marker-based motion capture methods. Pose2Sim
[ECCV2022] "Identity-Aware Hand Mesh Estimation and Personalization from RGB Images".
![[ECCV2022]](https://github.com/deyingk/PersonalizedHandMeshEstimation/raw/main/readme_images/fig_1.png)
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images [ECCV2022] "Identity-Aware Hand Mesh Estimation and Personalization from RGB I
Densely Constrained Depth Estimator for Monocular 3D Object Detection (ECCV2022)
DCD Released code for Densely Constrained Depth Estimator for Monocular 3D Object Detection (ECCV22). arxiv Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxi
Code for 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform (ECCV 2022)
DMH-Net Code for 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform (ECCV 2022) Notice: The code here is en
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds Introduction Estimating scene flow from real-world point clou
Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations (2022))
Infant Postural Symmetry Measurement Codes and experiments for the following paper: Xiaofei Huang, Michael Wan, Lingfei Luan, Bethany Tunik, Sarah Ost
Official implementation for ECCV 2022 paper "Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth"
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth This paper has been accepted by ECCV 2022 By Ziyue Feng, Liang
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" (Currently under review)
MSGazeNet This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to R
ECCV 2022 "Facial Depth and Normal Estimation using Single Dual-Pixel Camera"
Facial Depth and Normal Estimation using Single Dual-Pixel Camera Official pytorch implementation of "Facial Depth and Normal Estimation using Single
[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
![[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics](https://github.com/SenZHANG-GitHub/ekf-imu-depth/raw/master/assets/framework.png)
DynaDepth This is the official PyTorch implementation for [Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by I
[CVPR2022] Focal Length and Object Pose Estimation via Render and Compare
FocalPose: Focal Length and Object Pose Estimation via Render and Compare Georgy Ponimatkin, Yann Labbé, Bryan Russell, Mathieu Aubry, Josef Sivic CVP
Based on mediapipe human Estimation project for pytorch, provide function(face_mesh,iris,pose,hand)
Based on mediapipe human Estimation project for pytorch, provide function(face_mesh,iris,pose,hand)
Python scripts for performing 2D human pose estimation using the HRNET family models in ONNX.
ONNX HRNET 2D Human Pose Estimation Python scripts for performing 2D human pose estimation using the HRNET family models (HRNET, Lite-HRNet) in ONNX.
[CVPR 2022 Oral] CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
![[CVPR 2022 Oral] CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation](https://github.com/MCG-NJU/CamLiFlow/raw/main/asserts/arch.png)
CamLiFlow This is the official PyTorch implementation for paper CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Est
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild (CVPR2022)
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild Yang You, Ruoxi Shi, Weiming Wang, Cewu Lu CVPR 2022 CPPF is a pure sim-to-real met
We at Biomechanics-Ai aimed to create a model which deals with Ergonomic assessment using Pose Estimation.
We at Biomechanics-Ai aimed to create a model which deals with Ergonomic assessment using Pose Estimation. We've developed a contemporary model of pos
Dual model head pose estimation. Fusion of SOTA models. 360° 6D HeadPose detection
Dual model head pose estimation. Fusion of SOTA models. 360° 6D HeadPose detection. All pre-processing and post-processing are fused together, allowing end-to-end processing in a single inference.
Pytorch implementation for Online Knowledge Distillation for Efficient Pose Estimation (ICCV 2021)
Pytorch implementation for Online Knowledge Distillation for Efficient Pose Estimation (ICCV 2021)
An official PyTorch implementation of the paper "Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation"
This repository is an official PyTorch implementation of the paper Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation. (ACM MM 2021)
Object Perception & Application (Opera) is a unified toolbox for multiple computer vision tasks: detection, segmentation, pose estimation, etc.
Introduction Object Perception & Application (Opera) is a unified toolbox for multiple computer vision tasks: detection, segmentation, pose estimation
Official implementation of "Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth (Boosting Monocular Depth Estimation with Sparse Guided Points)"
BoostingDepth This repository contains the source code of our paper: Guangkai Xu, Wei Yin, Hao Chen, Kai Cheng, Feng Zhao, Chunhua Shen, Towards 3D Sc
Monocular Depth Estimation Toolbox based on MMSegmentation.
Monocular-Depth-Estimation-Toolbox Introduction Monocular-Depth-Estimation-Toolbox is an open source monocular depth estimation toolbox based on PyTor
Python scripts performing stereo depth estimation using the CREStereo model in ONNX.
ONNX-CREStereo-Depth-Estimation Python scripts performing stereo depth estimation using the CREStereo model in ONNX. Stereo depth estimation on the co
This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a image matching toolbox.
Guide Local Feature Matching by Overlap Estimation We introduce OETR, a neural network for overlap area estimation of image pairs, accepted by AAAI-20
This is an official PyTorch implementation of our IJCAI-ECAI 2022 paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation Introduction This is an official PyTorch implementation of our IJCAI
This is an official implementation for "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation This repo is the official implementation of "DeciWatch: A Simple Baseline for
Companion implementation of the paper "Probabilistic Estimation of Chirp Instantaneous Frequency Using Gaussian Processes".
Probabilistic chirp instantaneous frequency estimation using Gaussian processes Companion implementation of the paper "Probabilistic Estimation of Chi
Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating
Improve classification accuracy, uncertainty estimation, and out-of-distribution detection (open set recognition) by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
NannyML is an open-source python library that allows you to estimate post-deployment model performance
NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, interactive visualizations, is completely model-agnostic and currently supports all tabular binary classification use cases.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
2022: A Year Full of Amazing AI papers- A Review [WORK IN PROGRESS] 📌 A curated list of the latest breakthroughs in AI by release date with a clear v
Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation
Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation This is the code repo for the paper "Sound2Synth: Interpreting Sound via FM S
Normal-Aware MVSNet with View-Consistency for Depth Estimation
Normal-Aware-MVSNet This repository contains the code of course project for CMU-16889 (advised by Shubham Tulsiani). NA-MVSNet--A Normal-Aware MVSNet
Local Planner Guidance - Graph Convolution Network: A Monocular Depth Prediction Approach
MonoDepth_Prediction - CMU11785 Project Previously attempted baselines Big to small: bts Towards Good Practice for CNN Based Monocular Depth Estimatio
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
Nonuniform-to-Uniform Quantization This repository contains the training code of N2UQ introduced in our CVPR 2022 paper: "Nonuniform-to-Uniform Quanti
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
📖 Depth-Aware Generative Adversarial Network for Talking Head Video Generation (CVPR 2022) 🔥 If DaGAN is helpful in your photos/projects, please hel
Relative Human dataset, CVPR 2022
Relative Human (RH) contains multi-person in-the-wild RGB images with rich human annotations, including: Depth layers (DLs): relative depth relationsh
[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)
![[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)](https://github.com/Garfield-kh/PoseTriplet/raw/main/assets/dual-loop-detail-v3.jpg)
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision Kehong Gong*, Bingbing Li*, Jianfeng Zhang*, Ta
Official PyTorch implementation of "Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation", CVPRW 2022
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation (Hand4Whole codes) High-resolution video link: here Introduction This repo is
[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
![[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation](https://github.com/tjiiv-cprg/EPro-PnP/raw/main/intro.png)
EPro-PnP EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation In CVPR 2022 (Oral). [paper] Hanshen
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
MVSTER MVSTER: Epipolar Transformer for Efficient Multi-View Stereo arXiv This repository contains the official implementation of the paper: "MVSTER:
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
KFAC-JAX - Second Order Optimization with Approximate Curvature in JAX Installation | Quickstart | Documentation | Examples | Citing KFAC-JAX KFAC-JAX
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
SurroundDepth Project Page | Paper | Data SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation Yi Wei*, Linqi
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization This repository contains the implementation of the approach described
End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model
onnx-facial-lmk-detector End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model, model.onnx. Demo You can
Solution for Pose Estimation Challenge 2021 organized by the Advanced Concepts Team of the European Space Agency and the Space Rendezvous Laboratory (SLAB) of Stanford University.
Pose-Estimation-Challenge Solution for Pose Estimation Challenge 2021 organized by the Advanced Concepts Team of the European Space Agency and the Spa
Python package uses a TurtleBot3 robot with an Intel Realsense D435i depth camera and tries to create point clouds of Gazebo environments.
point_cloud_registration This Python package uses a TurtleBot3 robot with an Intel Realsense D435i depth camera and tries to create point clouds of Ga
About Python scripts form performing stereo depth estimation using the ACVNet model in ONNX.
ONNX-ACVNet-Stereo-Depth-Estimation About Python scripts form performing stereo depth estimation using the ACVNet model in ONNX. Requirements Check th
Find hidden directories from domain and subdomain.
DirsFind Find hidden directories from domain and subdomain. Demo python3 dirsfind.py -h | Help python3 dirsfind.py -u example.com | Find Dirs python3
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation
SUO-SLAM This repository will host the code for our CVPR 2022 paper "Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation". The