Results 101 to 110 of about 8,796 (251)
Methods in Ecology and Evolution, EarlyView.Abstract Automatic re‐identification of animals has significant potential to address pressing ecological and conservation challenges through improved population monitoring, individual health assessment and detailed behavioural analyses. Although numerous computer‐vision‐based solutions have been proposed and many achieve high accuracy, most remain ...
András Zábó +5 more
wiley +1 more source
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching [PDF]
Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into full-supervised and few-shot class-agnostic approaches. The former typically relies on laborious and time-consuming manual annotations,
Luo, Ping +7 more
core +2 more sources
Incremental Object Keypoint Learning
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)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 hardly detect the undefined new keypoints in test time, which largely hinders their feasibility for diverse downstream tasks.
Mingfu Liang +3 more
openaire +2 more sources
British Journal of Psychology, EarlyView.Abstract Adopting physical expressions of emotion has feedback effects on individuals' mood and behaviour; for example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power. However, postural feedback paradigms almost exclusively use deliberate, active posture manipulations, which ...
Soren Wainio‐Theberge, Jorge Armony
wiley +1 more source
Keypoint descriptor fusion with Dempster-Shafer Theory [PDF]
, 2017 Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and rotation transformations, each ...
Marín-Jiménez, M.J. +4 more
core +1 more source
2D Animal Skeletons Keypoint Detection: Research Progress and Future Trends
IEEE AccessResearch on two-dimensional keypoint detection within the domain of computer vision has experienced significant advancements. In contrast to the high precision and applicability achieved in human applications, the field of animal keypoint detection ...
Pengfei Ma +9 more
doaj +1 more source
MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild
Computer Graphics Forum, EarlyView.Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech +4 more
wiley +1 more source
A Coarse-Fine Network for Keypoint Localization [PDF]
, 2017 © 2017 IEEE. We propose a coarse-fine network (CFN) that exploits multi-level supervisions for keypoint localization. Recently, convolutional neural networks (CNNs)-based methods have achieved great success due to the powerful hierarchical features in ...
Huang, S +5 more
core +1 more source
IEEE AccessSpeech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER systems. Among these, Mel-frequency cepstral coefficients (MFCC)
Nagarajan Sugan +2 more
doaj +1 more source
Story2Board: A Training‐Free Approach for Expressive Visual Storytelling
Computer Graphics Forum, EarlyView.Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich +4 more
wiley +1 more source