Publications related to Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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Do We Need Binary Features for 3D Reconstruction?

Pascal Fua, Xinchao Wang, Zhiye Wang, Bin Fan

Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptors. They have been shown with promising results on some real time application ...

2016

From Image-level to Pixel-level Labeling with Convolutional Networks

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

We are interested in inferring object segmentation by leveraging only object class information, and by considering only minimal priors on the object segmentation task. This problem could be viewed as a kind of weakly supervised segmentation task, and natur ...

2015

FASA: Fast, Accurate, and Size-Aware Salient Object Detection

Sabine Süsstrunk, Gökhan Yildirim

Fast and accurate salient-object detectors are important for various image processing and computer vision applications, such as adaptive compression and object segmentation. It is also desirable to have a detector that is aware of the position and the size ...

Springer-Verlag Berlin2015

Learning to Segments Objects Candidates

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then passed to an object classifier. Such approaches have been shown they can be f ...

2015

Modeling the Importance of Faces in Natural Images

Sabine Süsstrunk, Cheryl Shaulya Lau, Appu Shaji, Gökhan Yildirim, Bin Jin

In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

Spie-Int Soc Optical Engineering2015

Advances in hyperspectral image classification

Devis Tuia

The technological evolution of optical sensors over the last few decades has provided remote sensing analysts with rich spatial, spectral, and temporal information. In particular, the increase in spectral resolution of hyperspectral images (HSIs) and infra ...

Institute of Electrical and Electronics Engineers2014

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

Andrei Popescu-Belis, Sandy Ingram, Nikolaos Pappas, Maryam Habibi

This paper presents the MUST-VIS system for the MediaMixer/VideoLectures.NET Temporal Segmentation and Annotation Grand Challenge. The system allows users to visualize a lecture as a series of segments represented by keyword clouds, with relations to other ...

ACM2013

Learning Separable Filters

Pascal Fua, Vincent Lepetit, Roberto Rigamonti

While learned image features can achieve great accuracy on different Computer Vision problems, their use in real-world situations is still very limited as their extraction is typically time-consuming. We therefore propose a method to learn image features t ...

2012

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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Do We Need Binary Features for 3D Reconstruction?

Localizing Polygonal Objects in Man-Made Environments

From Image-level to Pixel-level Labeling with Convolutional Networks

FASA: Fast, Accurate, and Size-Aware Salient Object Detection

Learning to Segments Objects Candidates

Modeling the Importance of Faces in Natural Images

Advances in hyperspectral image classification

Leveraging Colour Segmentation for Upper-Body Detection

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

Learning Separable Filters

Localizing Polygonal Objects in Man-Made Environments

From Image-level to Pixel-level Labeling with Convolutional Networks

Modeling the Importance of Faces in Natural Images

Leveraging Colour Segmentation for Upper-Body Detection

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

FASA: Fast, Accurate, and Size-Aware Salient Object Detection

Do We Need Binary Features for 3D Reconstruction?

Learning Separable Filters

Learning to Segments Objects Candidates

Advances in hyperspectral image classification