International Journal of Computer Vision

Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e.g., remote healthcare and affective computing). Recent deep ...

Zero-shot learning (ZSL) requires one to associate visual and semantic information observed from data of seen classes, so that test data of unseen classes can be recognized based on the described semantic representation. Aiming at synthesizing ...

We explore using body gestures for hidden emotional state analysis. As an important non-verbal communicative fashion, human body gestures are capable of conveying emotional information during social communication. In previous works, efforts have ...

Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully utilizing this information remains a ...

Three-dimensional markerless pose estimation from multi-view video is emerging as an exciting method for quantifying the behavior of freely moving animals. Nevertheless, scientifically precise 3D animal pose estimation remains challenging, ...

In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and remotely-operated or human-...

We propose a novel minimal solver for sphere fitting via its 2D central projection, i.e., a special ellipse. The input of the presented algorithm consists of contour points detected in a camera image. General ellipse fitting problems require five ...

In this paper, we investigate absolute and relative pose estimation under refraction, which are essential problems for refractive structure from motion. To cope with refraction effects, we first formulate geometric constraints for establishing ...

Mapping a truncated optimization method into a deep neural network, deep proximal unrolling network has attracted attention in compressive sensing due to its good interpretability and high performance. Each stage in such networks corresponds to ...

Birds of prey rely on vision to execute flight manoeuvres that are key to their survival, such as intercepting fast-moving targets or navigating through clutter. A better understanding of the role played by vision during these manoeuvres is not ...

The ability to capture detailed interactions among individuals in a social group is foundational to our study of animal behavior and neuroscience. Recent advances in deep learning and computer vision are driving rapid progress in methods that can ...

Action recognition on extreme low-resolution videos, e.g., a resolution of $12\times 16$ pixels, plays a vital role in far-view surveillance and privacy-preserving multimedia analysis. As low-resolution videos often only contain limited information, it is ...$\mathrm{}\mathrm{}$$\mathrm{}\mathrm{}$$\mathrm{}\mathrm{}$

Graph convolution networks (GCNs) based methods for 3D human pose estimation usually aggregate immediate features of single-hop nodes, which are unaware of the correlation of multi-hop nodes and therefore neglect long-range dependency for ...

Despite the significant improvements that self-supervised representation learning has led to when learning from unlabeled data, no methods have been developed that explain what influences the learned representation. We address this need through ...