Concerns with enabling computers to interpret and understand visual inputs, such as images and videos.
The authors propose a new variational framework for performing inference in stochastic differential equations (SDEs) driven by fractional Brownian motion (fBM). SDEs are versatile tools for modeling real-world dynamic systems…
Continue readingThe paper presents Fetal Ultrasound Semantic Clustering (FUSC), an unsupervised method that automates the clustering of ultrasound images into various fetal views. This approach eliminates the need for labor-intensive manual…
Continue readingThis research paper introduces a U-Net-based network that uses spatio-temporal features with cross-attention transformers to extract information from historical maps. This method addresses the challenges of data-dependent uncertainty in the…
Continue readingThe paper focuses on the detection of heart disease through ECG images using advanced technologies, specifically vision transformer models. These models include Google-Vit, Microsoft-Beit, and Swin-Tiny. The study emphasizes the…
Continue readingThe article explores a method for early detection of breast cancer using mammography in a realistic hospital setting. It challenges the constraints of existing methods, which require annotations for individual…
Continue readingThe article introduces Consistent Assignment of Views over Random Partitions (CARP), a self-supervised clustering method for representation learning of visual features. The method optimizes a new pretext task based on…
Continue readingThis research paper presents a novel approach to source-free object detection (SFOD), which involves using a pre-trained model on a source domain and unlabeled target domain data. The authors propose…
Continue readingThis research presents a novel image classification scheme that preserves privacy by using a feature extractor and an encoder to mask the plaintext image through a Noise-like Adversarial Example (NAE)….
Continue readingThis paper presents a method to improve the understanding and analysis of long-format videos. The authors propose a query-aware method for localizing and understanding relations in long videos by using…
Continue readingThe study introduces a new face swapping method leveraging the progressively growing structure of a pre-trained StyleGAN. Instead of the traditional encoder-decoder structures and embedding integration networks, this method disentangles…
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