Integrated sensing and communication (ISAC) has been proposed as a promi...
Quantum Federated Learning (QFL) is an emerging interdisciplinary field ...
We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framewo...
Radio frequency (RF)-based techniques are widely adopted for indoor
loca...
Ultra-wideband (UWB)-based techniques, while becoming mainstream approac...
Received waveforms contain rich information for both range information a...
Localization systems based on ultra-wide band (UWB) measurements can hav...
Learning-based methods for blind single image super resolution (SISR) co...
Deep generative models (DGMs) and their conditional counterparts provide...
Visual-Semantic Embedding (VSE) aims to learn an embedding space where
r...
State estimation is an essential part of autonomous systems. Integrating...
Although CLIP-like Visual Language Models provide a functional joint fea...
The task of driver attention prediction has drawn considerable interest ...
There have been significant advancements in dynamic novel view synthesis...
Autonomous exploration and mapping of unknown terrains employing single ...
For scenes such as floods and earthquakes, the disaster area is large, a...
The task of driver attention prediction has drawn considerable interest ...
Multi-agent formation as well as obstacle avoidance is one of the most
a...
Network localization is capable of providing accurate and ubiquitous pos...
We consider sparse representations of signals from redundant dictionarie...
Formation and collision avoidance abilities are essential for multi-agen...
While recent text to speech (TTS) models perform very well in synthesizi...
Measuring similarity between two images often requires performing comple...
Text to speech (TTS) is widely used to synthesize personal voice for a t...
The integrated sensing and communication (ISAC), in which the sensing an...
Effective human-vehicle collaboration requires an appropriate un-derstan...
The behavior of self driving cars may differ from people expectations, (...
The maximum entropy principle advocates to evaluate events' probabilitie...
Explainable AI, in the context of autonomous systems, like self driving ...
We present a novel self quality evaluation metric SQE for parameters
opt...
When people talk about fashion, they care about the underlying meaning o...
We present a general framework for classifying partially observed dynami...