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02/01/2022
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements
The emergence of data-driven approaches for control and planning in robo...
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02/01/2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Learning causal relationships in high-dimensional data (images, videos) ...
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12/22/2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
We address planning and navigation in challenging 3D video games featuri...
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12/07/2021
Godot Reinforcement Learning Agents
We present Godot Reinforcement Learning (RL) Agents, an open-source inte...
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11/29/2021
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments
Visual navigation by mobile robots is classically tackled through SLAM p...
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10/12/2021
Satellite Image Semantic Segmentation
In this paper, we propose a method for the automatic semantic segmentati...
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09/24/2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
The Robotics community has started to heavily rely on increasingly reali...
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07/29/2021
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
We have built a novel system for the surveillance of drinking water rese...
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07/13/2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
In the context of visual navigation, the capacity to map a novel environ...
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06/22/2021
Universal Domain Adaptation in Ordinal Regression
We address the problem of universal domain adaptation (UDA) in ordinal r...
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06/10/2021
Supervising the Transfer of Reasoning Patterns in VQA
Methods for Visual Question Anwering (VQA) are notorious for leveraging ...
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04/08/2021
How Transferable are Reasoning Patterns in VQA?
Since its inception, Visual Question Answering (VQA) is notoriously know...
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04/02/2021
VisQA: X-raying Vision and Language Reasoning in Transformers
Visual Question Answering systems target answering open-ended textual qu...
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03/23/2021
Deep KKL: Data-driven Output Prediction for Non-Linear Systems
We address the problem of output prediction, ie. designing a model for a...
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01/21/2021
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
In this paper we introduce a Transformer-based approach to video object ...
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07/10/2020
Learning to plan with uncertain topological maps
We train an agent to navigate in 3D environments using a hierarchical st...
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06/10/2020
Estimating semantic structure for the VQA answer space
Since its appearance, Visual Question Answering (VQA, i.e. answering a q...
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06/09/2020
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?
To be reliable on rare events is an important requirement for systems ba...
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01/24/2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL
Tasks involving localization, memorization and planning in partially obs...
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12/06/2019
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks
The large adoption of the self-attention (i.e. transformer model) and BE...
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09/26/2019
COPHY: Counterfactual Learning of Physical Dynamics
Understanding causes and effects in mechanical systems is an essential c...
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09/06/2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
We present DRLViz, a visual analytics interface to interpret the interna...
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04/16/2019
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning
Using touch devices to navigate in virtual 3D environments such as compu...
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04/03/2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
An important goal of research in Deep Reinforcement Learning in mobile r...
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06/16/2018
Object Level Visual Reasoning in Videos
Human activity recognition is typically addressed by training models to ...
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02/22/2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
We propose a method for human activity recognition from RGB data which d...
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02/19/2018
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling
We propose a fully automatic method for learning gestures on big touch d...
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12/20/2017
Human Action Recognition: Pose-based Attention draws focus to Hands
We propose a new spatio-temporal attention based mechanism for human act...
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09/25/2017
Multi-view pose estimation with mixtures-of-parts and adaptive viewpoint selection
We propose a new method for human pose estimation which leverages inform...
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07/25/2017
Residual Conv-Deconv Grid Network for Semantic Segmentation
This paper presents GridNet, a new Convolutional Neural Network (CNN) ar...
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03/29/2017
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition
We address human action recognition from multi-modal video data involvin...
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11/17/2016
Learning to detect and localize many objects from few examples
The current trend in object detection and localization is to learn predi...
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11/20/2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
We propose a method for hand pose estimation based on a deep regressor t...
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11/12/2015
Learning Human Identity from Motion Patterns
We present a large-scale study exploring the capability of temporal deep...
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05/04/2015
Activity recognition from videos with parallel hypergraph matching on GPUs
In this paper, we propose a method for activity recognition from videos ...
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12/31/2014