Report on the Paper “CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-Identification” Introduction Person Re-Identification (Re-ID) is a critical task in visual surveillance, aiming to match individuals across non-overlapping cameras captured at different times and locations. The challenge becomes more complex in Long-Term Per...

Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction Academic Background 3D reconstruction of indoor scenes is a significant task in computer vision with broad applications, such as computer graphics and virtual reality. Traditional 3D reconstruction methods often rely on expensive 3D ground truth data. In recent ye...

Academic Background and Problem Statement Story Visualization is a task aimed at generating a series of visually consistent images from a story described in text. This task requires the generated images to be of high quality, aligned with the text description, and consistent in character identities across different images. Despite its wide range of...

Academic Background and Problem Statement With the rapid development of Deep Neural Networks (DNNs), visual intelligence systems have made significant progress in tasks such as image classification, object detection, and video understanding. However, these breakthroughs rely heavily on the collection of high-quality annotated data, which is often t...

Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person Re-Identification Background Introduction Visible-Infrared Person Re-Identification (VI-ReID) is an important research direction in the field of computer vision, aiming to retrieve images of the same pedestrian from different modalities (v...

Academic Background and Problem Statement Clipart, a pre-made graphic art form, is widely used in documents, presentations, and websites to quickly enhance visual content. However, traditional workflows for converting static clipart into motion sequences are laborious and time-consuming, often involving intricate steps such as rigging, keyframing, ...

High-Quality Video Generation with Cascaded Latent Diffusion Models: LaVie Academic Background In recent years, with the breakthrough progress of Diffusion Models (DMs) in the field of image generation, Text-to-Image (T2I) generation technology has achieved significant success. However, extending this technology to Text-to-Video (T2V) generation st...

Academic Background With the increasing demand for high-quality 3D content across industries such as gaming, architecture, and social media, the manual creation of 3D assets has become time-consuming, technically demanding, and costly. In the gaming industry, the aesthetic quality of assets like characters and furniture significantly impacts the im...

Global Profiling of Alternative Splicing in Non-Small Cell Lung Cancer Reveals Novel Histological and Population Differences Academic Background Lung cancer is one of the most frequently diagnosed cancers in the United States, with non-small cell lung cancer (NSCLC) accounting for the majority of cases. Among NSCLC, lung adenocarcinoma (LUAD) and l...

Mevalonate Kinase Impairs Anti-Tumor Immunity by Inhibiting the Tumor Cell-Intrinsic Interferon Response in Microsatellite Instability Colorectal Cancer Academic Background Immune checkpoint blockade (ICB) therapy, particularly anti-PD-1 monoclonal antibodies, has been approved for the treatment of microsatellite instability colorectal cancer (MSI ...