Pattern Recognition

.- Clustering and Segmentation.

.- PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.

.- A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning.

.- Self-Supervised Semantic Segmentation from Audio-Visual Data.

.- BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation.

.- Learning Techniques.

.- FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks.

.- Self-Masking Networks for Unsupervised Adaptation.

.- A Theoretical Formulation on the Use of Multiple Positive Views in Contrastive Learning

.- Decoupling of neural network calibration measures.

.- Examining Common Paradigms in Multi-Task Learning.

.- DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning.

.- Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval ..

.- Anomaly Detection with Conditioned Denoising Diffusion Models.

.- Medical and Biological Applications.

.- SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network.

.- Foundation Models Permit Retinal Layer Segmentation Across OCT Devices.

.- Correlation Clustering of Organoid Images.

.- Animal Identification with Independent Foreground and Background Modeling.

.- Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks.

.- Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction.

.- Uncertainty and Explainability.

.- Latent Diffusion Counterfactual Explanations.

.- Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.

.- Uncertainty Voting Ensemble for Imbalanced Deep Regression.

.- Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning.