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Jie Luo

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Publications associées (36)

Graph Chatbot

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A Large-Scale Database of Images and Captions for Automatic Face Naming

Barbara Caputo, Jie Luo, Vittorio Ferrari

We present a large scale database of images and captions, designed for supporting research on how to use captioned images from the Web for training visual classifiers. It consists of more than 125,000 images of celebrities from different fields downloaded ...

2011

Learning from Candidate Labeling Sets

Jie Luo

In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., when learning visual classifiers from images downloaded from the web, using just their text captions or tag ...

Idiap2011

A Large-Scale Database of Images and Captions for Automatic Face Naming

Barbara Caputo, Jie Luo, Vittorio Ferrari

Idiap2011

The More you Learn, the Less you Store: Memory-controlled Incremental SVM for Visual Place Recognition

Barbara Caputo, Jie Luo

The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM- -based algorithm, capable of learning model representations incrementally while keeping under ...

Idiap2010

The More you Learn, the Less you Store: Memory-controlled Incremental SVM for Visual Place Recognition

Barbara Caputo, Jie Luo

The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under c ...

2010

OM-2: An Online Multi-class Multi-kernel Learning Algorithm

Barbara Caputo, Jie Luo, Marco Fornoni

Efficient learning from massive amounts of information is a hot topic in computer vision. Available training sets contain many examples with several visual descriptors, a setting in which current batch approaches are typically slow and does not scale well. ...

Idiap2010

Learning from Candidate Labeling Sets

Jie Luo

MIT Press2010

Towards Robust Place Recognition for Robot Localization

Barbara Caputo, Jie Luo

Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place rec ...

Idiap2010

OM-2: An Online Multi-class Multi-kernel Learning Algorithm

Barbara Caputo, Jie Luo, Marco Fornoni

2010

Online-Batch Strongly Convex Multi Kernel Learning

Barbara Caputo, Jie Luo

Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled ap- proach to combine multiple cues, and to obtain state-of-the- art performance. A general drawback of these strategies is the high computational co ...

Idiap2010