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Found 9 papers, 1 papers with code
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
Experimental results demonstrate the superiority of DiffMAC over state-of-the-art methods, with a high degree of generalization in real-world and heterogeneous settings.
GesGPT: Speech Gesture Synthesis With Text Parsing from GPT
Gesture synthesis has gained significant attention as a critical research area, focusing on producing contextually appropriate and natural gestures corresponding to speech or textual input.
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
In this paper, we propose a Fast Attention Network (FAN) for joint intent detection and slot filling tasks, guaranteeing both accuracy and latency.
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia.
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area.
Overview: Computer vision and machine learning for microstructural characterization and analysis
The characterization and analysis of microstructure is the foundation of microstructural science, connecting the materials structure to its composition, process history, and properties.
Transfer Learning for Thermal Comfort Prediction in Multiple Cities
The main purpose of HVAC, maintaining appropriate thermal comfort, is crucial for the best utilisation of energy usage.
Data Augmentation for Deep Learning-based Radio Modulation Classification
Deep learning has recently been applied to automatically classify the modulation categories of received radio signals without manual experience.
Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
A novel approach is proposed to achieve cost-effective big data clustering in the cloud.
