Publications by authors named "Adin Ramirez Rivera"

Independent components within low-dimensional representations are essential inputs in several downstream tasks, and provide explanations over the observed data. Video-based disentangled factors of variation provide low-dimensional representations that can be identified and used to feed task-specific models. We introduce MTC-VAE, a self-supervised motion-transfer VAE model to disentangle motion and content from videos.

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Article Synopsis
  • Anomaly detection faces challenges due to the rarity of anomalies, which leads to unbalanced data issues; synthetic anomalies are proposed as a potential solution for this problem.
  • The article introduces a two-level hierarchical latent space representation using autoencoders to create robust feature representations for generating synthetic anomalies without prior examples.
  • The proposed method successfully generates pseudo outlier samples, enabling the training of effective binary classifiers for real anomaly detection, and shows strong performance across multiple benchmarking tests.
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This paper presents a new face descriptor, local directional ternary pattern (LDTP), for facial expression recognition. LDTP efficiently encodes information of emotion-related features (ı.e.

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Spatiotemporal image descriptors are gaining attention in the image research community for better representation of dynamic textures. In this paper, we introduce a dynamic-micro-texture descriptor, i.e.

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This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition.

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The current contrast enhancement algorithms occasionally result in artifacts, overenhancement, and unnatural effects in the processed images. These drawbacks increase for images taken under poor illumination conditions. In this paper, we propose a content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions.

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