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Found 10 papers, 2 papers with code
Neuromorphic Face Analysis: a Survey
Neuromorphic sensors, also known as event cameras, are a class of imaging devices mimicking the function of biological visual systems.
Neuromorphic Valence and Arousal Estimation
Recognizing faces and their underlying emotions is an important aspect of biometrics.
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks.
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
Time varying sequences of 3D point clouds, or 4D point clouds, are now being acquired at an increasing pace in several applications (e. g., LiDAR in autonomous or assisted driving).
Neuromorphic Event-based Facial Expression Recognition
Recently, event cameras have shown large applicability in several computer vision fields especially concerning tasks that require high temporal resolution.
Partially fake it till you make it: mixing real and fake thermal images for improved object detection
In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes.
Robust pedestrian detection in thermal imagery using synthesized images
Experimental results demonstrate the effectiveness of our approach: using less than 50\% of available real thermal training data, and relying on synthesized data generated by our model in the domain adaptation phase, our detector achieves state-of-the-art results on the KAIST Multispectral Pedestrian Detection Benchmark; even if more real thermal data is available adding GAN generated images to the training data results in improved performance, thus showing that these images act as an effective form of data augmentation.
Multiple Future Prediction Leveraging Synthetic Trajectories
Trajectory prediction is an important task, especially in autonomous driving.
Inner Eye Canthus Localization for Human Body Temperature Screening
As additional contribution, we enrich the original dataset by using the annotated landmarks to deform and project the 3DMM onto the images.
Semantic Road Layout Understanding by Generative Adversarial Inpainting
Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in.
