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09/15/2023
Optimization of Rank Losses for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, a...
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07/13/2023
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Vision-language foundation models such as CLIP have shown impressive zer...
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06/14/2023
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
Recently, diffusion-based generative models have achieved remarkable suc...
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05/26/2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Out-of-distribution (OOD) detection is a critical requirement for the de...
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12/15/2022
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation
Transformers have proved to be very effective for visual recognition tas...
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10/11/2022
Memory transformers for full context and high-resolution 3D Medical Segmentation
Transformer models achieve state-of-the-art results for image segmentati...
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07/08/2022
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
State-of-the-art methods for optical flow estimation rely on deep learni...
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07/05/2022
Hierarchical Average Precision Training for Pertinent Image Retrieval
Image Retrieval is commonly evaluated with Average Precision (AP) or Rec...
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10/01/2021
Robust and Decomposable Average Precision for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, e...
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03/12/2021
Urban Surface Reconstruction in SAR Tomography by Graph-Cuts
SAR (Synthetic Aperture Radar) tomography reconstructs 3-D volumes from ...
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03/10/2021
