1,253 skills found · Page 1 of 42
prs-eth / Marigold[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
open-mmlab / MmskeletonA OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
IDEA-Research / Detrexdetrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
qiayuanl / Legged ControlNMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls
APRIL-ZJU / Lidar IMU Calib[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
zhyever / PatchFusion[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
zhyever / Monocular Depth Estimation ToolboxMonocular Depth Estimation Toolbox based on MMSegmentation.
FORTH-ModelBasedTracker / MocapNETWe present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
antonbabenko / Terraform Cost EstimationAnonymized, secure, and free Terraform cost estimation based on Terraform plan (0.12+) or Terraform state (any version)
simpeg / SimpegSimulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
swook / GazeMLGaze Estimation using Deep Learning, a Tensorflow-based framework.
MAPIRlab / Rf2o Laser OdometryEstimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
MMehrez / MPC And MHE Implementation In MATLAB Using CasadiThis is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
CNJianLiu / Awesome Object Pose Estimation[IJCV 2026] Project Page for "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
orhir / PoseAnythingA Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]
shelfwise / ReceptivefieldGradient based receptive field estimation for Convolutional Neural Networks
NationalGAILab / HoT[CVPR 2024 🔥] Official implementation of the paper "⏳ Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation"
NVlabs / CenterPoseSingle-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
tjqansthd / LapDepth ReleaseMonocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
andyzeng / Apc Vision ToolboxMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
