277 citations · 930 across the 33 of their papers we have counts for
9 papers · 1 filter
Active Sensing for Search and Tracking: A Review
Luca Varotto, Angelo Cenedese, Andrea Cavallaro
Active Position Estimation (APE) is the task of localizing one or more targets using one or more sensing platforms. APE is a key task for search and rescue missions, wildlife monit…
OHPL: One-shot Hand-eye Policy Learner
Changjae Oh, Yik Lung Pang, Andrea Cavallaro
The control of a robot for manipulation tasks generally relies on object detection and pose estimation. An attractive alternative is to learn control policies directly from raw inp…
Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition
Vandana Rajan, Alessio Brutti, Andrea Cavallaro
Multi-modal affect recognition models leverage complementary information in different modalities to outperform their uni-modal counterparts. However, due to the unavailability of m…
Towards safe human-to-robot handovers of unknown containers
Yik Lung Pang, Alessio Xompero, Changjae Oh +1
Safe human-to-robot handovers of unknown objects require accurate estimation of hand poses and object properties, such as shape, trajectory, and weight. Accurately estimating these…
The CORSMAL benchmark for the prediction of the properties of containers
Alessio Xompero, Santiago Donaher, Vladimir Iashin +17
The contactless estimation of the weight of a container and the amount of its content manipulated by a person are key pre-requisites for safe human-to-robot handovers. However, opa…
Protecting gender and identity with disentangled speech representations
Dimitrios Stoidis, Andrea Cavallaro
Besides its linguistic content, our speech is rich in biometric information that can be inferred by classifiers. Learning privacy-preserving representations for speech signals enab…
Audio classification of the content of food containers and drinking glasses
Santiago Donaher, Alessio Xompero, Andrea Cavallaro
Food containers, drinking glasses and cups handled by a person generate sounds that vary with the type and amount of their content. In this paper, we propose a new model for sound-…
Improving filling level classification with adversarial training
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla +2
We investigate the problem of classifying - from a single image - the level of content in a cup or a drinking glass. This problem is made challenging by several ambiguities caused…
An embedded multichannel sound acquisition system for drone audition
Michael Clayton, Lin Wang, Andrew McPherson +1
Microphone array techniques can improve the acoustic sensing performance on drones, compared to the use of a single microphone. However, multichannel sound acquisition systems are…