201 citations
- University of SouthamptonGB4 papers
- Chinese University of Hong Kong, ShenzhenCN3 papers
- Beihang UniversityCN2 papers
- Shenzhen Research Institute of Big DataCN2 papers
- Wrocław University of Science and TechnologyPL2 papers
- Xiamen UniversityCN2 papers
- Aalto UniversityFI1 paper
- Australian Centre for Robotic VisionAU1 paper
- Buckinghamshire New UniversityGB1 paper
- Communication University of ChinaCN1 paper
- Computer Technology Institute and Press “DIOPHANTUS”GR1 paper
- Harbin Institute of TechnologyCN1 paper
7 papers · 1 filter
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
Alessandro Bruno
A growing number of commercially available mobile phones come with integrated high-resolution digital cameras. That enables a new class of dedicated applications to image analysis…
Sexing Caucasian 2D footprints using convolutional neural networks
Marcin Budka, Matthew R. Bennet, Sally Reynolds +4
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such…
From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting
Mengcheng Lan, Shuliang Ning, Yanran Li +4
Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but complet…
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
Yinyu Nie, Xiaoguang Han, Shihui Guo +3
Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction. Existing works either address one part of this problem or focus on independen…
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding
Yinyu Nie, Shihui Guo, Jian Chang +4
Dense indoor scene modeling from 2D images has been bottlenecked due to the absence of depth information and cluttered occlusions. We present an automatic indoor scene modeling app…
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment
Kan Wu, Guanbin Li, Haofeng Li +2
The collection of internet images has been growing in an astonishing speed. It is undoubted that these images contain rich visual information that can be useful in many application…