Papers Hand Pose Estimation
“Hand Pose Estimation” 태그가 달린 논문 278편 · 필터 해제
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these applications, the visibility of each hand joint in the image is crucial for assessing the reliability o…
Hand Pose EstimationScaleHP: Scale-Mediated Optimization of Coupled Errors for Metric-Space Hand Pose Estimation
In this paper, we present ScaleHP, a unified framework that explicitly represents per-instance metric scale to resolve the coupled errors in calibrated camera-space hand pose estimation. Under the common root-relative-to…
Hand Pose EstimationGeometric Reconstruction of Extrinsic Contact Trajectories using Tactile Sensing and Proprioception for Tool Manipulation
Tactile sensing enables robots to perceive rich contact information at the grasp, supporting tasks such as object recognition, in-hand pose estimation, and slip detection. However, in many tool-mediated manipulation task…
Hand Pose EstimationObject RecognitionImpact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications
Mixed reality applications can be designed for hand rehabilitation. Augmented reality (AR) head mounted displays (HMDs) specifically allow for ecologically valid tasks because individuals can see their real environment a…
Hand Pose EstimationMonoDuo: Using One Robot Arm to Learn Bimanual Policies
Bimanual coordination is essential for many real-world manipulation tasks, yet learning bimanual robot policies is limited by the scarcity of bimanual robots and datasets. Single-arm robots, however, are widely available…
Point Cloud SegmentationHand Pose EstimationUST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation
Manually annotating accurate 3D hand poses is extremely time-consuming and labor-intensive. Existing self-supervised hand pose estimation methods leverage the discrepancy between input images and rendered outputs, or mul…
Self-Supervised LearningHand Pose EstimationEgoEMG: A Multimodal Egocentric Dataset with Bilateral EMG and Vision for Hand Pose Estimation
Surface electromyography (sEMG) records muscle activity during hand movement and can be decoded to recover detailed hand articulation. EMG and egocentric vision are complementary for hand sensing: EMG captures fine-grain…
Hand Pose EstimationAdaptive vs. Static Robot-to-Human Handover: A Study on Orientation and Approach Direction
Robot-to-human handovers often rely on static, open-loop strategies (or, at best, approaches that adapt only the position), which generally do not consider how the object will be grasped by the human, thus requiring the …
Hand Pose EstimationPAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
Hand-object interaction (HOI) reconstruction and synthesis are becoming central to embodied AI and AR/VR. Yet, despite rapid progress, existing HOI generation research remains fragmented across three disjoint tracks: (1)…
Hand Pose EstimationVideo GenerationDeltaDorsal: Enhancing Hand Pose Estimation with Dorsal Features in Egocentric Views
The proliferation of XR devices has made egocentric hand pose estimation a vital task, yet this perspective is inherently challenged by frequent finger occlusions. To address this, we propose a novel approach that levera…
Hand Pose EstimationEgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric Videos
We propose EgoGrasp, the first method to reconstruct world-space hand-object interactions (W-HOI) from dynamic egoview videos, supporting open-vocabulary objects. Accurate W-HOI reconstruction is critical for embodied in…
Hand Pose EstimationSimultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing
Prehensile autonomous manipulation, such as peg insertion, tool use, or assembly, require precise in-hand understanding of the object pose and the extrinsic contacts made during interactions. Providing accurate estimatio…
Hand Pose EstimationA two-stream network with global-local feature fusion for bone age assessment
Bone Age Assessment (BAA) is a widely used clinical technique that can accurately reflect an individual's growth and development level, as well as maturity. In recent years, although deep learning has advanced the field …
Hand Pose EstimationCross-Sensor Touch Generation
Today's visuo-tactile sensors come in many shapes and sizes, making it challenging to develop general-purpose tactile representations. This is because most models are tied to a specific sensor design. To address this cha…
Hand Pose EstimationImage GenerationAffordance-Guided Diffusion Prior for 3D Hand Reconstruction
How can we reconstruct 3D hand poses when large portions of the hand are heavily occluded by itself or by objects? Humans often resolve such ambiguities by leveraging contextual knowledge -- such as affordances, where an…
Hand Pose EstimationCascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose Estimation
Deterministic models for 3D hand pose reconstruction, whether single-staged or cascaded, struggle with pose ambiguities caused by self-occlusions and complex hand articulations. Existing cascaded approaches refine predic…
Hand Pose EstimationUniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
Accurate estimation of the in-hand pose of an object based on its CAD model is crucial in both industrial applications and everyday tasks, ranging from positioning workpieces and assembling components to seamlessly inser…
Hand Pose EstimationPose TrackingPianoVAM: A Multimodal Piano Performance Dataset
The multimodal nature of music performance has driven increasing interest in data beyond the audio domain within the music information retrieval (MIR) community. This paper introduces PianoVAM, a comprehensive piano perf…
Information RetrievalHand Pose EstimationExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Vision Transformers (ViT) are remarkable at 3D pose estimation, yet they still encounter certain challenges. One issue is that the popular ViT architecture for pose estimation is limited to images and lacks temporal info…
3D Hand Pose Estimation3D Human Pose Estimation3D Pose EstimationHand Pose Estimation+1Monocular 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 Estimation