Papers Keypoint Estimation
“Keypoint Estimation” 태그가 달린 논문 71편 · 필터 해제
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment
In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to predict this potential by identifying the growth peak and analyzing cerv…
DiagnosticKeypoint EstimationMonocular 3D Hand Pose Estimation with Implicit Camera Alignment
Estimating the 3D hand articulation from a single color image is a continuously investigated problem with applications in Augmented Reality (AR), Virtual Reality (VR), Human-Computer Interaction (HCI), and robotics. Apar…
3D Hand Pose EstimationHand Pose EstimationKeypoint EstimationPose EstimationTowards Texture- And Shape-Independent 3D Keypoint Estimation in Birds
In this paper, we present a texture-independent approach to estimate and track 3D joint positions of multiple pigeons. For this purpose, we build upon the existing 3D-MuPPET framework, which estimates and tracks the 3D p…
Keypoint EstimationPose EstimationIncremental Object Keypoint Learning
Existing progress in object keypoint estimation primarily benefits from the conventional supervised learning paradigm based on numerous data labeled with pre-defined keypoints. However, these well-trained models can hard…
Keypoint EstimationObjectAn Appearance Defect Detection Method for Cigarettes Based on C-CenterNet
Due to the poor adaptability of traditional methods in the cigarette detection task on the automatic cigarette production line, it is difficult to accurately identify whether a cigarette has defects and the types of defe…
Defect DetectionKeypoint EstimationHandOS: 3D Hand Reconstruction in One Stage
Existing approaches of hand reconstruction predominantly adhere to a multi-stage framework, encompassing detection, left-right classification, and pose estimation. This paradigm induces redundant computation and cumulati…
2D Pose Estimation3D Hand Pose EstimationHand DetectionKeypoint Estimation+1Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
Recent advances in interactive keypoint estimation methods have enhanced accuracy while minimizing user intervention. However, these methods require user input for error correction, which can be costly in vertebrae keypo…
Keypoint EstimationVGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
Human head detection, keypoint estimation, and 3D head model fitting are essential tasks with many applications. However, traditional real-world datasets often suffer from bias, privacy, and ethical concerns, and they ha…
Head DetectionKeypoint EstimationSynthetic Data GenerationAn Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
Deep Learning (DL) methods have been used for electrocardiogram (ECG) processing in a wide variety of tasks, demonstrating good performance compared with traditional signal processing algorithms. These methods offer an e…
Feature EngineeringKeypoint EstimationSpecificityRT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applications due to privacy concerns. In contrast…
3D Human Pose EstimationBenchmarkingKeypoint EstimationPose Estimation+1Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertainty
This study considered the problem of multiple model estimation from the perspective of sigma-max inference (probability - possibility inference), while focusing on discovering whether certain of the unknown quantities in…
Keypoint EstimationPoint TrackingTime Series ForecastingTime Series PredictionAutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Automated machine learning (AutoML) is a collection of techniques designed to automate the machine learning development process. While traditional AutoML approaches have been successfully applied in several critical step…
AutoMLHyperparameter OptimizationKeypoint EstimationVoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
We present \textit{VoxelKP}, a novel fully sparse network architecture tailored for human keypoint estimation in LiDAR data. The key challenge is that objects are distributed sparsely in 3D space, while human keypoint de…
3D Human Pose EstimationKeypoint DetectionKeypoint EstimationSniffyArt: The Dataset of Smelling Persons
Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. This paper introduces the SniffyArt dataset, consisting of 1941 indi…
ClassificationGesture RecognitionKeypoint EstimationPose EstimationBoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation
Single-stage multi-person human pose estimation (MPPE) methods have shown great performance improvements, but existing methods fail to disentangle features by individual instances under crowded scenes. In this paper, we …
DisentanglementKeypoint EstimationMulti-Person Pose EstimationMulti-Task Learning+2Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
Using videos to analyze pitchers in baseball can play a vital role in strategizing and injury prevention. Computer vision-based pose analysis offers a time-efficient and cost-effective approach. However, the use of acces…
3D Pose EstimationData AugmentationKeypoint EstimationPose EstimationSpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
We introduce a novel bottom-up approach for the extraction of chart data. Our model utilizes images of charts as inputs and learns to detect keypoints (KP), which are used to reconstruct the components within the plot ar…
Chart UnderstandingKeypoint EstimationMetric Learning3D Keypoint Estimation Using Implicit Representation Learning
In this paper, we tackle the challenging problem of 3D keypoint estimation of general objects using a novel implicit representation. Previous works have demonstrated promising results for keypoint prediction through dire…
Keypoint EstimationRepresentation LearningHuman Body Shape Classification Based on a Single Image
There is high demand for online fashion recommender systems that incorporate the needs of the consumer's body shape. As such, we present a methodology to classify human body shape from a single image. This is achieved th…
BenchmarkingClassificationInstance SegmentationKeypoint Estimation+3DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Predominant techniques on talking head generation largely depend on 2D information, including facial appearances and motions from input face images. Nevertheless, dense 3D facial geometry, such as pixel-wise depth, plays…
3D geometryGenerative Adversarial NetworkKeypoint EstimationTalking Head Generation+1