Publications de Jean-Marc Odobez

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In this article, we present a new model for unsupervised discovery of recurrent temporal patterns (or motifs) in time series (or documents). The model is designed to handle the difficult case of multivariate time series obtained from a mixture of activitie ...

We address the recognition of people’s visual focus of attention (VFOA), the discrete version of gaze that indicates who is looking at whom or what. As a good indicator of addressee-hood (who speaks to whom, and in particular is a person speaking to the ro ...

Learning from Demonstration permits non-expert users to easily and intuitively reprogram robots. Among approaches embracing this paradigm, probabilistic movement primitives (ProMPs) are a well-established and widely used method to learn trajectory distribu ...

Hand-Object Interaction (HOI) is gaining significant attention, particularly with the creation of numerous egocentric datasets driven by AR/VR applications. However, third-person view HOI has received less attention, especially in terms of datasets. Most t ...

Person discovery in the absence of prior identity knowledge requires accurate association of visual and auditory cues. In broadcast data, multimodal analysis faces additional challenges due to narrated voices over muted scenes or dubbing in different langu ...

Presentations are becoming an increasingly more common means of communication in working environments, and slides are often the necessary supporting material on which the presentations rely. In this paper, we describe a slide indexing and retrieval system ...

This paper focuses on the crowd-annotation of an ancient Maya glyph dataset derived from the three ancient codices that survived up to date. More precisely, non-expert annotators are asked to segment glyph-blocks into their constituent glyph entities. As a ...

As an indicator of human attention gaze is a subtle behavioral cue which can be exploited in many applications. However, inferring 3D gaze direction is challenging even for deep neural networks given the lack of large amount of data (groundtruthing gaze is ...

Gaze behaviors such as eye-contact or shared attention are important markers for diagnosing developmental disorders in children. While previous studies have looked at some of these elements, the analysis is usually performed on private datasets and is rest ...

This paper presents the MuMMER data set, a data set for human-robot interaction scenarios that is available for research purposes% It comprises 1 h 29 min of multimodal recordings of people interacting with the social robot Pepper in entertainment scenario ...

Gaze is an important non-verbal cue involved in many facets of social interactions like communication, attentiveness or attitudes. Nevertheless, extracting gaze directions visually and remotely usually suffers large errors because of low resolution images, ...

We propose to leverage Transformer architectures for non-autoregressive human motion prediction. Our approach decodes elements in parallel from a query sequence, instead of conditioning on previous predictions such as in state-of-the-art RNN-based approach ...

We present a system for automatically extracting hieroglyph strokes from images of degraded ancient Maya codices. Our system adopts a region-based image segmentation framework. Multi-resolution super-pixels are first extracted to represent each image. A Su ...

We present a conditional random field approach to tracking-by-detection in which we model pairwise factors linking pairs of detections and their hidden labels, as well as higher order potentials defined in terms of label costs. To the contrary of previous ...

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archaeology. Our work is guided by realistic needs of archaeologists and scholars who crit ...

This paper focuses on road traffic monitoring using sounds and proposes, more specifically, a microphone array design methodology for observing vehicle trajectory from acoustic-based correlation functions. In a former work, authors have shown that combinin ...

Human gaze plays a crucial role in communication and social interaction. Many recent studies have focused on predicting the 2D pixel location of a person's gaze target in an image. However, this approach has limitations when it comes to studying gaze for d ...

This paper focuses on acoustic road traffic monitoring and looks, more specifically, into the problem of speed and wheelbase length estimation of two-axle vehicles as they pass by. It is known that both front and rear axle trajectories may be dissociated u ...

Despite remarkable progress in various human behavior perception tasks, head gesture recognition (HGR) has received limited attention in terms of datasets, benchmarks, and methods. In this work, we aim to address this gap and make two main contributions. F ...

Jean-Marc Odobez

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Temporal Analysis of Motif Mixtures using Dirichlet Processes

Recognizing the Visual Focus of Attention for Human Robot Interaction

Active Learning of Bayesian Probabilistic Movement Primitives

ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild

Learning Multimodal Temporal Representation for Dubbing Detection in Broadcast Media

Application of Information Retrieval Technologies to Presentation Slides

Maya Codical Glyph Segmentation: A Crowdsourcing Approach

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour

The MuMMER Data Set for Robot Perception in Multi-party HRI Scenarios

Towards the Use of Social Interaction Conventions as Prior for Gaze Model Adaptation

Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Exploiting Long-Term Connectivity and Visual Motion in CRF-based Multi-Person Tracking

Embedding Motion in Model-Based Stochastic Tracking

Analyzing ancient Maya glyph collections with Contextual Shape Descriptors

Observation of Vehicle Axles Through Pass-by Noise: A Strategy of Microphone Array Design

A Unified Model for Gaze Following and Social Gaze Prediction

Pass-by noise acoustic sensing for estimating speed and wheelbase length of two-axle vehicles

CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition