Concerns with enabling computers to interpret and understand visual inputs, such as images and videos.
The paper titled ‘Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks’ explores the issue of feature removal in Explainable AI (XAI). It highlights how occlusion strategies can vary…
Continue readingThe article presents a framework, ARCANE, for generating synthetic datasets to improve models predicting pedestrian intentions, crucial for autonomous driving. The lack of diverse datasets with crossing and non-crossing scenarios…
Continue readingThe paper presents HiCAST, a new approach to Arbitrary Style Transfer (AST). AST aims to inject the artistic features of a style reference into an image or video. Unlike existing…
Continue readingThe article discusses the challenge of predicting optical flow in occluded areas, which is when a point is imaged in the reference frame but not in the next. The authors…
Continue readingThe article talks about the use of terrestrial laser scanners, particularly LiDAR sensors, in ecological data acquisition. These scanners have been used to reconstruct the 3D structure of vegetation and…
Continue readingThe article introduces ConKeD, a novel deep learning approach for Retinal Image Registration (RIR). Unlike existing methods, ConKeD uses a multi-positive multi-negative contrastive learning strategy to utilize additional information from…
Continue readingThe article introduces PARTSTAD, a method designed for the task adaptation of 2D-to-3D segmentation lifting. It optimizes a 2D bounding box prediction model for 3D segmentation, introducing weights for 2D…
Continue readingThe article presents ‘Swintormer’, a new model for image deblurring that offers improved performance and lower memory usage. It uses a diffusion model to generate latent prior features, helping to…
Continue readingThe article introduces ‘Compact and Swift Segmenting 3D Gaussians (CoSSegGaussians)’, a method designed to perform 3D scene segmentation swiftly and compactly using only RGB images as input. It improves upon…
Continue readingThis paper presents two lightweight models for crowd counting, which is the estimation of the number of people in a crowd from an image or a video. The models, ASFNet-S…
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