A High-Level Approach for Energy Efficiency Improvement of FPGAs by Voltage Trimming
Chip manufacturers define voltage margins on top of the “best-case” operational voltage of their chips to ensure reliable functioning in the worst […]
Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
Spectrum occupancy prediction is a key enabling technology to facilitate a proactive resource allocation for dynamic spectrum management systems. This work focuses […]
Rethinking the ST-GCNs for 3D skeleton-based human action recognition
The skeletal data has been an alternative for the human action recognition task as it provides more compact and distinct information compared […]
Applying Deep Neural Networks for Duty Cycle Estimation
A pro-active spectrum usage prediction is a key technique in decision making and spectrum selection for dynamic spectrum access systems. This work […]
3D Skeletal Gesture Recognition via Hidden States Exploration
Temporal dynamics is an open issue for modeling human body gestures. A solution is resorting to the generative models, such as the […]
CycleMatch
In numerous multimedia and multi-modal tasks from image and video retrieval to zero-shot recognition to multimedia question and answering, bridging image and […]
Photorealistic Facial Synthesis in the Dimensional Affect Space
This paper presents a novel approach for synthesizing facial affect, which is based on our annotating 600,000 frames of the 4DFAB database […]