Papers Keypoint Estimation
“Keypoint Estimation” 태그가 달린 논문 71편 · 필터 해제
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images
This paper shows that it is possible to learn models for monocular 3D reconstruction of articulated objects (e.g., horses, cows, sheep), using as few as 50-150 images labeled with 2D keypoints. Our proposed approach invo…
3D ReconstructionKeypoint EstimationObjectHybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery
Recovering whole-body mesh by inferring the abstract pose and shape parameters from visual content can obtain 3D bodies with realistic structures. However, the inferring process is highly non-linear and suffers from imag…
3D Human Pose Estimation3D Human ReconstructionKeypoint EstimationKGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input based on keypoints. Keypoint-based grasp detector from image input has demonstrated promising results in the previous study, where the additional vi…
Grasp GenerationKeypoint DetectionKeypoint EstimationPose PredictionMDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
One of the major challenges in multi-person pose estimation is instance-aware keypoint estimation. Previous methods address this problem by leveraging an off-the-shelf detector, heuristic post-grouping process or explici…
Keypoint EstimationMulti-Person Pose EstimationPose EstimationUnsupervised Volumetric Animation
We propose a novel approach for unsupervised 3D animation of non-rigid deformable objects. Our method learns the 3D structure and dynamics of objects solely from single-view RGB videos, and can decompose them into semant…
3D geometryKeypoint EstimationNovel View SynthesisUnsupervised 3D Keypoint Discovery with Multi-View Geometry
Analyzing and training 3D body posture models depend heavily on the availability of joint labels that are commonly acquired through laborious manual annotation of body joints or via marker-based joint localization using …
3D Human Pose EstimationKeypoint EstimationPose EstimationUnsupervised 3D Human Pose EstimationKeypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
We propose a novel keypoint voting 6DoF object pose estimation method, which takes pure unordered point cloud geometry as input without RGB information. The proposed cascaded keypoint voting method, called RCVPose3D, is …
Keypoint EstimationPose EstimationSemantic SegmentationMorphology-Aware Interactive Keypoint Estimation
Diagnosis based on medical images, such as X-ray images, often involves manual annotation of anatomical keypoints. However, this process involves significant human efforts and can thus be a bottleneck in the diagnostic p…
DiagnosticKeypoint EstimationPrior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data
Accurately annotated image datasets are essential components for studying animal behaviors from their poses. Compared to the number of species we know and may exist, the existing labeled pose datasets cover only a small …
Animal Pose EstimationKeypoint EstimationPose EstimationSemantic Segmentation+2UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with two fisheye cameras that can be used in un…
3D Human Pose EstimationEgocentric Pose EstimationKeypoint EstimationPose EstimationPSP-HDRI$+$: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models
We introduce a new synthetic data generator PSP-HDRI$+$ that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demonstrate that pre-training with our synth…
Keypoint EstimationUnified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
We propose Unified-IO, a model that performs a large variety of AI tasks spanning classical computer vision tasks, including pose estimation, object detection, depth estimation and image generation, vision-and-language t…
Depth EstimationImage GenerationKeypoint EstimationObject Categorization+10A Keypoint-based Global Association Network for Lane Detection
Lane detection is a challenging task that requires predicting complex topology shapes of lane lines and distinguishing different types of lanes simultaneously. Earlier works follow a top-down roadmap to regress predefine…
Keypoint EstimationLane DetectionARPD: Anchor-free Rotation-aware People Detection using Topview Fisheye Camera
People detection in top-view, fish-eye images is challenging as people in fish-eye images often appear in arbitrary directions and are distorted differently. Due to this unique radial geometry, axis-aligned people detect…
Keypoint EstimationPRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Learning intra-region contexts and inter-region relations are two effective strategies to strengthen feature representations for point cloud analysis. However, unifying the two strategies for point cloud representation i…
3D Point Cloud ClassificationKeypoint EstimationRelationRethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
In keypoint estimation tasks such as human pose estimation, heatmap-based regression is the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer from quantization error and require excess…
Keypoint EstimationPose EstimationPointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification
Automatic nuclei segmentation and classification play a vital role in digital pathology. However, previous works are mostly built on data with limited diversity and small sizes, making the results questionable or mislead…
ClassificationDiversityInstance SegmentationKeypoint Estimation+3On Coordinate Decoding for Keypoint Estimation Tasks
A series of 2D (and 3D) keypoint estimation tasks are built upon heatmap coordinate representation, i.e. a probability map that allows for learnable and spatially aware encoding and decoding of keypoint coordinates on gr…
Keypoint EstimationDo You See What I See: Using Augmented Reality and Artificial Intelligence
Do You See What I See: Using Augmented Reality and Artificial Intelligence We explore the challenges of real-world applications of augmented reality (AR) and artificial intelligence (AI) through experiments that demons…
Keypoint EstimationPose EstimationWeakly Supervised Keypoint Discovery
In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision. Recent works on unsupervised keypoint discovery reliably discover keypoints of aligned instances. However, when the…
Conditional Image GenerationImage GenerationKeypoint EstimationWeakly-supervised Learning