Papers Pose Retrieval
“Pose Retrieval” 태그가 달린 논문 24편 · 필터 해제
MonoPartNeRF:Human Reconstruction from Monocular Video via Part-Based Neural Radiance Fields
In recent years, Neural Radiance Fields (NeRF) have achieved remarkable progress in dynamic human reconstruction and rendering. Part-based rendering paradigms, guided by human segmentation, allow for flexible parameter a…
Pose RetrievalAutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs
Composed pose retrieval (CPR) enables users to search for human poses by specifying a reference pose and a transition description, but progress in this field is hindered by the scarcity and inconsistency of annotated pos…
DiversityPose RetrievalRetrievalCAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval
Reconstructing from multi-view images is a longstanding problem in 3D vision, where neural radiance fields (NeRFs) have shown great potential and get realistic rendered images of novel views. Currently, most NeRF methods…
NeRFPose RetrievalRetrievalSitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
Recent advancements in human motion synthesis have focused on specific types of motions, such as human-scene interaction, locomotion or human-human interaction, however, there is a lack of a unified system capable of gen…
Motion GenerationMotion SynthesisPose RetrievalAn Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface
This paper introduces an open-source interface for American Sign Language fingerspell recognition and semantic pose retrieval, aimed to serve as a stepping stone towards more advanced sign language translation systems. U…
Pose EstimationPose RetrievalRetrievalSign Language TranslationMaFreeI2P: A Matching-Free Image-to-Point Cloud Registration Paradigm with Active Camera Pose Retrieval
Image-to-point cloud registration seeks to estimate their relative camera pose, which remains an open question due to the data modality gaps. The recent matching-based methods tend to tackle this by building 2D-3D corres…
Image to Point Cloud RegistrationPoint Cloud RegistrationPose RetrievalRetrievalHOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
We present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera. We first investigate various objective functions to measure s…
3D Object Retrieval3D Scene ReconstructionPose RetrievalRetrieval+1Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
We present an automatic method for annotating images of indoor scenes with the CAD models of the objects by relying on RGB-D scans. Through a visual evaluation by 3D experts, we show that our method retrieves annotations…
3D Object RetrievalPose EstimationPose RetrievalCategory-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivial task due to appearance variations bet…
Image RetrievalPose EstimationPose RetrievalRetrievalTriBERT: Human-centric Audio-visual Representation Learning
The recent success of transformer models in language, such as BERT, has motivated the use of such architectures for multi-modal feature learning and tasks. However, most multi-modal variants (e.g., ViLBERT) have limited …
Pose RetrievalRepresentation LearningRetrievalTriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
The recent success of transformer models in language, such as BERT, has motivated the use of such architectures for multi-modal feature learning and tasks. However, most multi-modal variants (e.g., ViLBERT) have limited …
Pose RetrievalRepresentation LearningRetrievalPanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets
Human pose estimation (HPE) from RGB and depth images has recently experienced a push for viewpoint-invariant and scale-invariant pose retrieval methods. Current methods fail to generalize to unconventional viewpoints du…
Pose EstimationPose RetrievalRetrievalTransfer Learning for Pose Estimation of Illustrated Characters
Human pose information is a critical component in many downstream image processing tasks, such as activity recognition and motion tracking. Likewise, a pose estimator for the illustrated character domain would provide a …
Activity RecognitionPose EstimationPose RetrievalRetrieval+1FixMyPose: Pose Correctional Captioning and Retrieval
Interest in physical therapy and individual exercises such as yoga/dance has increased alongside the well-being trend. However, such exercises are hard to follow without expert guidance (which is impossible to scale for …
Pose RetrievalRetrievalNormalized Human Pose Features for Human Action Video Alignment
We present a novel approach for extracting human pose features from human action videos. The goal is to let the pose features capture only the poses of the action while being invariant to other factors, including vid…
Action RecognitionMetric LearningPose RetrievalRetrieval+1I Like to Move It: 6D Pose Estimation as an Action Decision Process
Object pose estimation is an integral part of robot vision and AR. Previous 6D pose retrieval pipelines treat the problem either as a regression task or discretize the pose space to classify. We change this paradigm and …
6D Pose EstimationObjectPose EstimationPose Prediction+2View-Invariant Probabilistic Embedding for Human Pose
Depictions of similar human body configurations can vary with changing viewpoints. Using only 2D information, we would like to enable vision algorithms to recognize similarity in human body poses across multiple views. T…
Action RecognitionPose RetrievalSkeleton Based Action RecognitionVideo AlignmentMultiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
The best performing methods for 3D human pose estimation from monocular images require large amounts of in-the-wild 2D and controlled 3D pose annotated datasets which are costly and require sophisticated systems to acqui…
3D Human Pose EstimationMetric LearningPose EstimationPose Retrieval+1RelocNet: Continuous Metric Learning Relocalisation using Neural Nets
We propose a method of learning suitable convolutional representations for camera pose retrieval based on nearest neighbour matching and continuous metric learning-based feature descriptors. We introduce informatio…
Metric LearningPose RetrievalRetrievalLandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
The growing popularity of autonomous systems creates a need for reliable and efficient metric pose retrieval algorithms. Currently used approaches tend to rely on nearest neighbor search of binary descriptors to perform …
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