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International Journal of Computer Vision OnlineFirst articles


Learning Regression and Verification Networks for Robust Long-term Tracking

This paper proposes a new visual tracking algorithm, which leverages the merits of both template matching approaches and classification models for long-term object detection and tracking. To this end, a regression network is learned offline to …


Unsupervised Scale-Consistent Depth Learning from Video

We propose a monocular depth estimation method SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time. Our contributions include: (i) we propose a geometry consistency loss, which …


Multi-level Motion Attention for Human Motion Prediction

Human motion prediction aims to forecast future human poses given a historical motion. Whether based on recurrent or feed-forward neural networks, existing learning based methods fail to model the observation that human motion tends to repeat …


Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks

In this paper we propose the first deep unsupervised approach in human body reconstruction to estimate body surface from a sparse set of landmarks, so called DeepMurf. We apply a denoising autoencoder to estimate missing landmarks. Then we apply …


SODA: Weakly Supervised Temporal Action Localization Based on Astute Background Response and Self-Distillation Learning

Weakly supervised temporal action localization is a practical yet challenging task. Although great efforts have been made in recent years, the existing methods still have limited capacity in dealing with the challenges of over-localization …

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About this journal

International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.

Coverage includes:

- Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.

- Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more.

- Connections with human perception: computational and architectural aspects of human vision.

The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

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