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On April 4, 2013, Lakshmi Saheer successfully defended her PhD thesis entitled "Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis ...

This work investigates several extensions of a state-of-the-art content-based image retrieval system. The two main contributions are an algorithmic extension ...

The work described in her thesis takes place in the context of visual recognition and category detection, in all scenarios where there is a need for learning ...

On August 10, 2017, Marzieh Razavi successfully defended her PhD thesis entitled "On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development".

The work described in this thesis takes place in the context of data-driven integration of linguistic knowledge and acoustic information for the pronunciation ...

On February 2nd, 2018, Ajay Tanwani successfully defended his PhD thesis entitled 'Generative Models for Learning Robot Manipulation Skills from Humans'

The thesis presents generative mixture models for learning robot manipulation skills from a few human demonstrations, and providing assistance to a human ...

Modern automatic speech recognition (ASR) systems are based on parametric statistical models such as hidden Markov models (HMMs), exploiting 1) ...

On November 27 ,2017, Gulcan Can successfully defended her PhD thesis entitled 'Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning'

This thesis presents visual analysis methods for complex ancient Maya writings, specifically a promising crowdsourcing approach to build a large glyph dataset, ...

Maryam Habibi arrived at Idiap as a research assistant in September 2011, for the third phase of the IM2 NCCR, after an MSc at Sharif University of ...

Kenneth Funes successfully defended his private examination in front of a committee of experts, composed of Prof. Dan Witzner Hansen, Prof. Louis-Philippe ...