Personne

Jie Luo

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Publications associées (36)

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Indoor Place Recognition using Online Independent Support Vector Machines

Barbara Caputo, Jie Luo

In the framework of indoor mobile robotics, place recognition is a challenging task, where it is crucial that self-localization be enforced precisely, notwithstanding the changing conditions of illumination, objects being shifted around and/or people affec ...

2007

Incremental Learning for Place Recognition in Dynamic Environments

Barbara Caputo, Jie Luo

This paper proposes a discriminative approach to template-based Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be adaptive, i.e. should be ...

2007

SVM-based Transfer of Visual Knowledge Across Robotic Platforms

Barbara Caputo, Jie Luo

This paper presents an SVM-based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new infor ...

2007

Object Category Detection using Audio-visual Cues

Barbara Caputo, Jie Luo

Categorization is one of the fundamental building blocks of cognitive systems. Object categorization has traditionally been addressed in the vision domain, even though cognitive agents are intrinsically multimodal. Indeed, biological systems combine severa ...

IDIAP2007

Incremental Learning for Place Recognition in Dynamic Environments

Barbara Caputo, Jie Luo

Vision--based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, a visual recognition algorithm should have two key properties: robustness and adaptability. This paper focuses on the latter, ...

IDIAP2006

SVM-based Transfer of Visual Knowledge Across Robotic Platforms

Barbara Caputo, Jie Luo

This paper presents an SVM--based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new inf ...

IDIAP2006