Papers Keypoint Estimation
“Keypoint Estimation” 태그가 달린 논문 71편 · 필터 해제
GraspME -- Grasp Manifold Estimator
In this paper, we introduce a Grasp Manifold Estimator (GraspME) to detect grasp affordances for objects directly in 2D camera images. To perform manipulation tasks autonomously it is crucial for robots to have such gras…
GPUKeypoint EstimationReal-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
Rehabilitation is important to improve quality of life for mobility-impaired patients. Smart walkers are a commonly used solution that should embed automatic and objective tools for data-driven human-in-the-loop control …
Keypoint DetectionKeypoint EstimationPose EstimationFCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
We propose a fully convolutional multi-person pose estimation framework using dynamic instance-aware convolutions, termed FCPose. Different from existing methods, which often require ROI (Region of Interest) operations a…
Keypoint EstimationMulti-Person Pose EstimationPose EstimationKAMA: 3D Keypoint Aware Body Mesh Articulation
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that allows us to estimate a human body mesh from the positions of 3D body keypoints. To this end, we learn to estimate 3D positions of 26 body keypoints an…
3D Human Pose Estimation3D Human Shape EstimationKeypoint EstimationScale-aware Automatic Augmentation for Object Detection
We propose Scale-aware AutoAug to learn data augmentation policies for object detection. We define a new scale-aware search space, where both image- and box-level augmentations are designed for maintaining scale invarian…
Data AugmentationInstance SegmentationKeypoint EstimationObject+3Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
It has been shown that global scene understanding tasks like layout estimation can benefit from wider field of views, and specifically spherical panoramas. While much progress has been made recently, all previous approac…
Keypoint EstimationScene Understanding[Re] On end-to-end 6{DoF} object pose estimation and robustness to object scale
Scope of Reproducibility This report contains a set of experiments that seek to reproduce the claims of two recent works related to keypoint estimation, one specific to 6DoF object pose estimation, and the other present…
6D Pose Estimation6D Pose Estimation using RGBGPUKeypoint Estimation+2Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
Ship detection in remote sensing images plays a crucial role in various applications and has drawn increasing attention in recent years. However, existing arbitrary-oriented ship detection methods are generally developed…
Keypoint EstimationHuman 3D keypoints via spatial uncertainty modeling
We introduce a technique for 3D human keypoint estimation that directly models the notion of spatial uncertainty of a keypoint. Our technique employs a principled approach to modelling spatial uncertainty inspired from t…
Keypoint EstimationThe Lottery Ticket Hypothesis for Object Recognition
Recognition tasks, such as object recognition and keypoint estimation, have seen widespread adoption in recent years. Most state-of-the-art methods for these tasks use deep networks that are computationally expensive and…
Instance SegmentationKeypoint EstimationObjectobject-detection+3HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for the human body by estimating several parameters. However, learning the abstract parameters is a highly non-linear process and suffers from i…
3D human pose and shape estimation3D Human Pose EstimationKeypoint EstimationPose EstimationPerception for Autonomous Systems (PAZ)
In this paper we introduce the Perception for Autonomous Systems (PAZ) software library. PAZ is a hierarchical perception library that allow users to manipulate multiple levels of abstraction in accordance to their requi…
2D Object Detection6D Pose EstimationData AugmentationEmotion Classification+7Shape Consistent 2D Keypoint Estimation under Domain Shift
Recent unsupervised domain adaptation methods based on deep architectures have shown remarkable performance not only in traditional classification tasks but also in more complex problems involving structured predictions …
Depth EstimationDomain AdaptationKeypoint EstimationSemantic Segmentation+1Whole-Body Human Pose Estimation in the Wild
This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet. As existing datasets do not have whole-body …
2D Human Pose EstimationFacial Landmark DetectionHand Pose EstimationKeypoint Estimation+1CenterNet3D: An Anchor Free Object Detector for Point Cloud
Accurate and fast 3D object detection from point clouds is a key task in autonomous driving. Existing one-stage 3D object detection methods can achieve real-time performance, however, they are dominated by anchor-based d…
3D Object DetectionAutonomous DrivingKeypoint EstimationObject+2DeepMark++: Real-time Clothing Detection at the Edge
Clothing recognition is the most fundamental AI application challenge within the fashion domain. While existing solutions offer decent recognition accuracy, they are generally slow and require significant computational r…
Clothes Landmark DetectionKeypoint EstimationSign Language Recognition with Transformer Networks
Sign languages are complex languages. Research into them is ongoing, supported by large video corpora of which only small parts are annotated. Sign language recognition can be used to speed up the annotation process of t…
Keypoint EstimationSign Language RecognitionSMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving. In case of monocular vision, successful methods have been mainly based on two ingredients: (i) …
3D Object DetectionAutonomous NavigationKeypoint EstimationMonocular 3D Object Detection+4Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
The estimation of viewpoints and keypoints effectively enhance object detection methods by extracting valuable traits of the object instances. While the output of both processes differ, i.e., angles vs. list of character…
Keypoint EstimationObjectobject-detectionObject DetectionKeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Estimating the 3D pose of desktop objects is crucial for applications such as robotic manipulation. Many existing approaches to this problem require a depth map of the object for both training and prediction, which restr…
3D Pose EstimationKeypoint EstimationPose EstimationTransparent objects