7 accepted papers
Object detection has achieved significant advancements despite the challenges posed by adverse conditions like low-light nighttime environments, where annotated data is not only scarce but also challenging to accurately label. Instead of designing special network, we focus on the creation and effici
3D Gaussian Splatting (3D GS) has gained popularity due to its faster rendering speed and high-quality novel view synthesis. Some researchers have explored using 3D GS for reconstructing driving scenes. However, these methods often rely on various types of data, such as depth maps, 3D bounding boxes…
Reinforcement learning, optimization, and planning/search are interconnected domains in artificial intelligence. Algorithms within these domains share many similarities. They complement each other in solving complex decision-making problems, and also offer opportunities for cross-disciplinary integr…
Mapping Low Dynamic Range (LDR) images with different exposures to High Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to ghosting caused by object motion or camera jitting. With the success of Deep Neural Networks (DNNs), several DNNs-based methods have been proposed t…
Generating a high-quality High Dynamic Range (HDR) image from dynamic scenes has recently been extensively studied by exploiting Deep Neural Networks (DNNs). Most DNNs-based methods require a large amount of training data with ground truth, requiring tedious and time-consuming work. Few-shot HDR ima…
Imaging in the dark environment is important for many real-world applications like video surveillance. Recently, the development of Event Cameras raises promising directions in solving this task thanks to its High Dynamic Range (HDR) and low requirement of computational sources. However, such camera…
Baseline nonlocal means denoising scheme may be improved by incorporating more adaptivity, like locally varying filtering window, smoothing constants and patch size or shape. In this paper, we presents a novel adaptive nonlocal means filtering scheme, the key idea of which is that before computing t…