Papers Hand Segmentation
“Hand Segmentation” 태그가 달린 논문 36편 · 필터 해제
EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction
Reconstructing 3D hand mesh is challenging but an important task for human-computer interaction and AR/VR applications. In particular, RGB and/or depth cameras have been widely used in this task. However, methods using t…
Hand Pose EstimationHand SegmentationTesting Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model
Reliable detection and segmentation of human hands are critical for enhancing safety and facilitating advanced interactions in human-robot collaboration. Current research predominantly evaluates hand segmentation under i…
Hand SegmentationSegmentationUncertainty QuantificationMasks and Boxes: Combining the Best of Both Worlds for Multi-Object Tracking
Multi-object tracking (MOT) involves identifying and consistently tracking objects across video sequences. Traditional tracking-by-detection methods, while effective, often require extensive tuning and lack generalizabil…
Hand SegmentationManagementMulti-Object TrackingObject Tracking+1The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments
Industry 4.0 introduced AI as a transformative solution for modernizing manufacturing processes. Its successor, Industry 5.0, envisions humans as collaborators and experts guiding these AI-driven manufacturing solutions.…
Hand SegmentationSegmentationTeam I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023
In this report, we present our approach to the EPIC-KITCHENS VISOR Hand Object Segmentation Challenge, which focuses on the estimation of the relation between the hands and the objects given a single frame as input. The …
Hand SegmentationObjectSegmentationSemantic SegmentationReal-Time Hand Gesture Identification in Thermal Images
Hand gesture-based human-computer interaction is an important problem that is well explored using color camera data. In this work we proposed a hand gesture detection system using thermal images. Our system is capable of…
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionHand Segmentation+1Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation
Color-based two-hand 3D pose estimation in the global coordinate system is essential in many applications. However, there are very few datasets dedicated to this task and no existing dataset supports estimation in a non-…
3D Pose EstimationDiversityHand SegmentationPose Estimation+1VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout
Multi-class product counting and recognition identifies product items from images or videos for automated retail checkout. The task is challenging due to the real-world scenario of occlusions where product items overlap,…
Hand SegmentationMulti-class ClassificationGenerative Adversarial Network for Future Hand Segmentation from Egocentric Video
We introduce the novel problem of anticipating a time series of future hand masks from egocentric video. A key challenge is to model the stochasticity of future head motions, which globally impact the head-worn camera vi…
Generative Adversarial NetworkHand SegmentationImage SegmentationSemantic Segmentation+2Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Hand segmentation is a crucial task in first-person vision. Since first-person images exhibit strong bias in appearance among different environments, adapting a pre-trained segmentation model to a new domain is required …
Domain AdaptationDomain GeneralizationHand SegmentationImage Stylization+2Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
The ability to distinguish between the self and the background is of paramount importance for robotic tasks. The particular case of hands, as the end effectors of a robotic system that more often enter into contact with …
GPUHand SegmentationEgo2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
Hand segmentation and detection in truly unconstrained RGB-based settings is important for many applications. However, existing datasets are far from sufficient both in terms of size and variety due to the infeasibility …
DiversityDomain AdaptationHand SegmentationSegmentation+1Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
Although the performance of hand segmentation in egocentric videos has been significantly improved by using CNNs, it still remains a challenging issue to generalize the trained models to new domains, e.g., unseen environ…
Hand SegmentationSegmentationHand-Priming in Object Localization for Assistive Egocentric Vision
Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this …
Hand SegmentationMulti-Task LearningObjectObject Localization+1Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Ego hand gestures can be used as an interface in AR and VR environments. While the context of an image is important for tasks like scene understanding, object recognition, image caption generation and activity recognitio…
Activity RecognitionCaption GenerationGesture RecognitionHand Gesture Recognition+4Recurrent U-Net for Resource-Constrained Segmentation
State-of-the-art segmentation methods rely on very deep networks that are not always easy to train without very large training datasets and tend to be relatively slow to run on standard GPUs. In this paper, we introduce …
Hand SegmentationRoad SegmentationSegmentationDenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input
We propose a real-time DNN-based technique to segment hand and object of interacting motions from depth inputs. Our model is called DenseAttentionSeg, which contains a dense attention mechanism to fuse information in dif…
Hand SegmentationObjectSegmentationRandom Forest with Learned Representations for Semantic Segmentation
In this work, we present a random forest framework that learns the weights, shapes, and sparsities of feature representations for real-time semantic segmentation. Typical filters (kernels) have predetermined shapes and s…
Hand SegmentationReal-Time Semantic SegmentationSegmentationSemantic SegmentationHand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems. In this study, we propose a method to discriminate hand components and to locate fingertips in…
Fingertip DetectionHand DetectionHand SegmentationSegmentationResidual Attention based Network for Hand Bone Age Assessment
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the whole X-ray images, which include other…
Hand Segmentation