Showing 1–17 of 17 results
/ Date/ Name
Oct 11, 2022Memory transformers for full context and high-resolution 3D Medical SegmentationJul 1, 2024GalLoP: Learning Global and Local Prompts for Vision-Language ModelsMay 26, 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionSep 15, 2023Optimization of Rank Losses for Image RetrievalMar 10, 2021U-Net Transformer: Self and Cross Attention for Medical Image SegmentationJul 18, 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time AdaptationMar 12, 2021Urban Surface Reconstruction in SAR Tomography by Graph-CutsSep 19, 2025DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension DiagnosisJul 10, 2025ViLU: Learning Vision-Language Uncertainties for Failure PredictionOct 1, 2021Robust and Decomposable Average Precision for Image RetrievalJul 5, 2022Hierarchical Average Precision Training for Pertinent Image RetrievalJul 13, 2023Leveraging Vision-Language Foundation Models for Fine-Grained Downstream TasksJul 8, 2022Complementing Brightness Constancy with Deep Networks for Optical Flow PredictionJun 14, 2023VidEdit: Zero-Shot and Spatially Aware Text-Driven Video EditingMar 15, 2024Energy Correction Model in the Feature Space for Out-of-Distribution DetectionDec 15, 2022Full Contextual Attention for Multi-resolution Transformers in Semantic SegmentationSep 8, 2025RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms