This thesis considers the challenging problem of automatically segmenting an image or a photo stream into a few number of regions that correspond to semantic objects or high-level structures, which can be highly beneficial for various computer vision tasks given existing huge amount of images over the internet.DOCTOR OF PHILOSOPHY (SCE
Semantic image segmentation aims to classify every pixel of a scene image to one of many classes. It...
Object co-segmentation is to segment the shared objects in multiple relevant images, which has numer...
Artificial intelligence is a growing field that has attracted the attention of many researchers and ...
This thesis considers the challenging problem of automatically segmenting an image or a photo stream...
We present a generative model to perform cosegmentation on an arbitrary number of images, where cos...
This thesis investigates two well defined problems in image segmentation, viz. interactive and seman...
The task of extracting a semantic video object is split into two subproblems, namely, object segmen...
The problem of semantic segmentation requires simul-taneous segmentation of an image into regions an...
This paper presents an approach for generating class-specific image segmentation. We introduce two n...
Computer vision-based and deep learning-driven applications and devices are now a part of our everyd...
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in comp...
It was estimated that 80% of the information received by human is visual. Image processing is evolvi...
This dissertation addresses the difficulties of semantic segmentation when dealing with an extensive...
at INRIA Paris1 and the LEAR team at INRIAGrenoble2, and will be co-supervised by Jean Ponce and Cor...
Image understanding is a vital task in computer vision that has many applications in areas such as r...
Semantic image segmentation aims to classify every pixel of a scene image to one of many classes. It...
Object co-segmentation is to segment the shared objects in multiple relevant images, which has numer...
Artificial intelligence is a growing field that has attracted the attention of many researchers and ...
This thesis considers the challenging problem of automatically segmenting an image or a photo stream...
We present a generative model to perform cosegmentation on an arbitrary number of images, where cos...
This thesis investigates two well defined problems in image segmentation, viz. interactive and seman...
The task of extracting a semantic video object is split into two subproblems, namely, object segmen...
The problem of semantic segmentation requires simul-taneous segmentation of an image into regions an...
This paper presents an approach for generating class-specific image segmentation. We introduce two n...
Computer vision-based and deep learning-driven applications and devices are now a part of our everyd...
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in comp...
It was estimated that 80% of the information received by human is visual. Image processing is evolvi...
This dissertation addresses the difficulties of semantic segmentation when dealing with an extensive...
at INRIA Paris1 and the LEAR team at INRIAGrenoble2, and will be co-supervised by Jean Ponce and Cor...
Image understanding is a vital task in computer vision that has many applications in areas such as r...
Semantic image segmentation aims to classify every pixel of a scene image to one of many classes. It...
Object co-segmentation is to segment the shared objects in multiple relevant images, which has numer...
Artificial intelligence is a growing field that has attracted the attention of many researchers and ...
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