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Collaborative Storytelling between Robot and Child: A Feasibility Study

Collaborative Storytelling between Robot and Child: A Feasibility Study

by Martina Haefeli | Jun 27, 2017 | Machine Learning, Robotics, Story Technology

Collaborative Storytelling between Robot and Child: A Feasibility Study   In this paper, we envision a robot that collaborates with a child to create oral stories in a highly interactive manner. June 27, 2017Interaction Design and Children (IDC) 2017  Authors Ming Sun...
Learning Video Object Segmentation from Static Images

Learning Video Object Segmentation from Static Images

by Martina Haefeli | Jun 22, 2017 | Video Processing, Visual Computing

Learning Video Object Segmentation from Static Images   Inspired by recent advances of deep learning in instance segmentation and object tracking, we introduce video object segmentation problem as a concept of guided instance segmentation. July 22, 2017IEEE Conference...
Designing Effective Inter-Pixel Information Flow for Natural Image Matting

Designing Effective Inter-Pixel Information Flow for Natural Image Matting

by Martina Haefeli | Jun 22, 2017 | Video Processing, Visual Computing

Designing Effective Inter-Pixel Information Flow for Natural Image Matting   We present a novel, purely affinity-based natural image matting algorithm. July 22, 2017IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017   Authors Yagiz Aksoy...
Practical Path Guiding for Efficient Light-Transport Simulation

Practical Path Guiding for Efficient Light-Transport Simulation

by Martina Haefeli | Jun 19, 2017 | Rendering, Visual Computing

Practical Path Guiding for Efficient Light-Transport Simulation   We present a robust, unbiased technique for intelligent light-path construction in path-tracing algorithms. June 19, 2017Eurographics Symposium on Rendering (EGSR)   Authors Thomas Müller (Disney...
Groups Re-identification with Temporal Context

Groups Re-identification with Temporal Context

by Martina Haefeli | Jun 7, 2017 | Machine Learning, Video Processing

Groups Re-identification with Temporal Context   Our experiments illustrate the merits of the proposed approach in challenging re-identification scenarios including crowded public spaces. June 7, 2017International Conference on Multimedia Retrieval 2017  ...
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