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cs.CV2026
Combinatorial Network-Based Manifold Topological Deep Learning for Image Analysis
Alice Wachira, Xiang Liu, Zhe Su +3
Medical image analysis remains fundamentally challenging because of the intricate geometric and topological structures present in medical data. Conventional convolutional neural ne…
cs.CV2026
Unmasking Face Embeddings: Reading, Rendering and Naming with Foundation Models
Fizza Rubab, Yiying Tong, Arun Ross
Modern face recognition (FR) owes much of its success to deep neural networks that learn to extract compact identity embeddings from face images. These models are typically trained…
cs.CV2026
Compatibility of Face Embeddings Across Deep Neural Networks
Fizza Rubab, Yiying Tong, Arun Ross
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for domain-specific tas…