output
20072026
most citedOptical Communication in Space: Challenges and Mitigation Techniques

1.9k citations

Showing 2018 · cs.CVShow all

18 papers · 2 filters

cs.CV2018★ 1 cited

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers

Delineating infarcted tissue in ischemic stroke lesions is crucial to determine the extend of damage and optimal treatment for this life-threatening condition. However, this proble…

cs.CV2018

Cross-Modal Distillation for RGB-Depth Person Re-Identification

Frank Hafner, Amran Bhuiyan, Julian F. P. Kooij +1

Person re-identification is a key challenge for surveillance across multiple sensors. Prompted by the advent of powerful deep learning models for visual recognition, and inexpensiv…

cs.CV2018★ 51 cited

A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran +1

Detecting faces and heads appearing in video feeds are challenging tasks in real-world video surveillance applications due to variations in appearance, occlusions and complex backg…

cs.CV2018★ 2 cited

A writer-independent approach for offline signature verification using deep convolutional neural networks features

Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin

The use of features extracted using a deep convolutional neural network (CNN) combined with a writer-dependent (WD) SVM classifier resulted in significant improvement in performanc…

cs.CV2018★ 1 cited

An Attention Model for group-level emotion recognition

Aarush Gupta, Dakshit Agrawal, Hardik Chauhan +2

In this paper we propose a new approach for classifying the global emotion of images containing groups of people. To achieve this task, we consider two different and complementary…

cs.CV2018

Dynamic voting in multi-view learning for radiomics applications

Hongliu Cao, Simon Bernard, Laurent Heutte +1

Cancer diagnosis and treatment often require a personalized analysis for each patient nowadays, due to the heterogeneity among the different types of tumor and among patients. Radi…