research
∙
08/22/2023
Affordance segmentation of hand-occluded containers from exocentric images
Visual affordance segmentation identifies the surfaces of an object an a...
share
research
∙
11/18/2022
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers
Estimating the 6D pose and size of household containers is challenging d...
research
∙
10/20/2022
Content-based Graph Privacy Advisor
People may be unaware of the privacy risks of uploading an image online....
research
∙
09/12/2022
BON: An extended public domain dataset for human activity recognition
Body-worn first-person vision (FPV) camera enables to extract a rich sou...
research
∙
08/24/2022
Cross-Camera View-Overlap Recognition
We propose a decentralised view-overlap recognition framework that opera...
research
∙
07/12/2022
On the limits of perceptual quality measures for enhanced underwater images
The appearance of objects in underwater images is degraded by the select...
research
∙
07/03/2022
Generating gender-ambiguous voices for privacy-preserving speech recognition
Our voice encodes a uniquely identifiable pattern which can be used to i...
research
∙
06/01/2022
On the reversibility of adversarial attacks
Adversarial attacks modify images with perturbations that change the pre...
research
∙
03/08/2022
Data augmentation with mixtures of max-entropy transformations for filling-level classification
We address the problem of distribution shifts in test-time data with a p...
research
∙
03/05/2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes
Deep neural networks are increasingly deployed for scene analytics, incl...
research
∙
02/18/2022
Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?
Humans express their emotions via facial expressions, voice intonation a...
research
∙
12/04/2021
Active Sensing for Search and Tracking: A Review
Active Position Estimation (APE) is the task of localizing one or more t...
research
∙
08/06/2021
OHPL: One-shot Hand-eye Policy Learner
The control of a robot for manipulation tasks generally relies on object...
research
∙
07/27/2021
The CORSMAL benchmark for the prediction of the properties of containers
Acoustic and visual sensing can support the contactless estimation of th...
research
∙
07/03/2021
Towards safe human-to-robot handovers of unknown containers
Safe human-to-robot handovers of unknown objects require accurate estima...
research
∙
04/22/2021
Protecting gender and identity with disentangled speech representations
Besides its linguistic content, our speech is rich in biometric informat...
research
∙
03/30/2021
Audio classification of the content of food containers and drinking glasses
Food containers, drinking glasses and cups handled by a person generate ...
research
∙
02/08/2021
Improving filling level classification with adversarial training
We investigate the problem of classifying - from a single image - the le...
research
∙
01/17/2021
An embedded multichannel sound acquisition system for drone audition
Microphone array techniques can improve the acoustic sensing performance...
research
∙
12/22/2020
Underwater image filtering: methods, datasets and evaluation
Underwater images are degraded by the selective attenuation of light tha...
research
∙
11/17/2020
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
Speaker identification models are vulnerable to carefully designed adver...
research
∙
11/03/2020
Robust Latent Representations via Cross-Modal Translation and Alignment
Multi-modal learning relates information across observation modalities o...
research
∙
09/30/2020
Benchmark for Anonymous Video Analytics
Estimating the number of people exposed to digital signage is important ...
research
∙
08/13/2020
Semantically Adversarial Learnable Filters
We present the first adversarial framework that crafts perturbations tha...
research
∙
08/05/2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Current deep neural architectures for processing sensor data are mainly ...
research
∙
07/19/2020
Exploiting vulnerabilities of deep neural networks for privacy protection
Adversarial perturbations can be added to images to protect their conten...
research
∙
07/14/2020
Towards robust sensing for Autonomous Vehicles: An adversarial perspective
Autonomous Vehicles rely on accurate and robust sensor observations for ...
research
∙
04/12/2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
We present DarkneTZ, a framework that uses an edge device's Trusted Exec...
research
∙
04/12/2020
PrivEdge: From Local to Distributed Private Training and Prediction
Machine Learning as a Service (MLaaS) operators provide model training a...
research
∙
11/27/2019
Multi-view shape estimation of transparent containers
The 3D localisation of an object and the estimation of its properties, s...
research
∙
11/25/2019
ColorFool: Semantic Adversarial Colorization
Adversarial attacks that generate small L_p-norm perturbations to mislea...
research
∙
11/14/2019
Privacy and Utility Preserving Sensor-Data Transformations
Sensitive inferences and user re-identification are major threats to pri...
research
∙
10/27/2019
EdgeFool: An Adversarial Image Enhancement Filter
Adversarial examples are intentionally perturbed images that mislead cla...
research
∙
10/15/2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification
An effective person re-identification (re-ID) model should learn feature...
research
∙
07/13/2019
Towards Characterizing and Limiting Information Exposure in DNN Layers
Pre-trained Deep Neural Network (DNN) models are increasingly used in sm...
research
∙
05/02/2019
Omni-Scale Feature Learning for Person Re-Identification
As an instance-level recognition problem, person re-identification (ReID...
research
∙
01/25/2019
LOCATA challenge: speaker localization with a planar array
This document describes our submission to the 2018 LOCalization And TrAc...
research
∙
10/29/2018
Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures
Cameras mounted on Micro Aerial Vehicles (MAVs) are increasingly used fo...
research
∙
10/26/2018
Mobile Sensor Data Anonymization
Data from motion sensors such as accelerometers and gyroscopes embedded ...
research
∙
07/09/2018
Video Summarisation by Classification with Deep Reinforcement Learning
Most existing video summarisation methods are based on either supervised...
research
∙
03/17/2018
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
This paper focuses on multi-sensor anomaly detection for moving cognitiv...
research
∙
02/21/2018
Protecting Sensory Data against Sensitive Inferences
There is growing concern about how personal data are used when users gra...
research
∙
02/10/2018
