Publications- Naver Labs Europe
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12 June 2019

“I Don’t Understand…” Issues in Self-Quantifying Commuting

This paper illustrates the results of a study that we conducted on the effectiveness of self-tracking of commuting data where participants received daily feedback on the financial costs and CO2 emissions associated to their mobility practices.
29 May 2019

Improving the Generalization of Visual Navigation Policies using Invariance Regularization

Training agents to operate in one environment often yields overfitted models that are unable to generalize to the changes in that environment.
27 May 2019

Visual Localization by Learning Objects-of-Interest Dense Match Regression

We introduce a novel CNN-based approach for visual localization from a single RGB image that relies on densely matching a set of Objects-of-Interest (OOIs).
21 May 2019

Learning Common Representation from RGB and Depth Images

We propose a new deep learning architecture for the tasks of semantic segmentation and depth prediction from RGB-D images.
10 May 2019

Implicit Discourse Relation Classification with Contextualized Word Representation

In this paper, we introduce a method to compute contextualized representations of words, leveraging information from the sentence dependency parse, to improve argument representation.
30 April 2019

Situationally Induced Impairment in Navigation Support for Runners

In this paper, we study the support that mobile devices provide for navigation.
30 April 2019

Reflections on the relationship between algorithmic transparency and the social acceptability of autonomous vehicles.

This position paper discusses the relationship between the social acceptability of autonomous and semi-autonomous vehicles and the transparency of the underlying artificial intelligence algorithms that drive autopilot technology.
29 April 2019

MARS: Motion-Augmented RGB Stream for Action Recognition

Most state-of-the-art methods for action recognition consist of a two-stream architecture with 3D convolutions: an appearance stream for RGB frames and a motion stream for optical flow frames.
29 April 2019

Did it Change? Learning to Detect Point-of-Interest Changes for Proactive Map Updates

Maps are an increasingly important tool in our daily lives, yet their rich semantic content still largely depends on manual input.
23 April 2019

Multi-Agent Learning and Coordination with Clustered Deep Q-Network

This paper presents a multiagent, multi-level solution named Clustered Deep Q-Network (CDQN).
16 April 2019

Assessing the Intent and Effectiveness of Carbon Footprint Calculators

This paper illustrates a study on the effectiveness of self-tracking of commuting data where participants received daily feedback on the financial costs and CO2 emissions associated to their mobility practices.
10 April 2019

Multimodal Routing with Time-Dependent Taxi Lifts

We propose a model that compares the inconvenience of taking a taxi to a number of transfers between trips depending on the taxi travel distance.