9 accepted papers
Modern industrial quality control heavily relies on automated anomaly detection. While few-shot anomaly detection addresses the challenge of limited labeled data, real-world inspection faces a vast diversity of anomaly types, sizes, and shapes. We identify the primary cause for the anomaly detection
Pre-trained vision-language models (PVLMs) and pseudo-labeling have proven effective in open-vocabulary object detection (OVD). However, when PVLMs trained on image-text data are adapted for OVD tasks, they often encounter challenges with region-text misalignment, resulting in low-quality pseudo-lab…
Blind face video restoration aims to restore high-fidelity details from videos subjected to complex and unknown degradations. This task poses a significant challenge of managing temporal heterogeneity while at the same time maintaining stable face attributes. In this paper, we introduce a Discrete P…
Diffusion models have proven effective at generating high-quality images from learned distributions, but their application to the temporal domain, especially for driving scenarios, remains underexplored. Our work addresses key challenges in existing simulations, such as limited data quality, diversi
Blind face restoration focuses on restoring high-fidelity details from images subjected to complex and unknown degradations while preserving identity information. In this paper we present a Prior-based Latent Transformation approach (PLTrans) which is specifically designed to learn a degradation-una…
Data replay and knowledge distillation are the most effective techniques for mitigating catastrophic forgetting in incremental object detection (IOD). Despite the recent achievements of IOD, there has been limited exploration regarding active learning of previously learned data, model plasticity, an…
Face retouching is to beautify a face image, while preserving the image content as much as possible. It is a promising yet challenging task to remove face imperfections and fill with normal skin. Generic image enhancement methods are hampered by the lack of imperfection localization, which often res…
Face Video Retouching is a complex task that often requires labor-intensive manual editing. Conventional image retouching methods perform less satisfactorily in terms of generalization performance and stability when applied to videos without exploiting the correlation among frames. To address this i…
Evaluating autonomous ground vehicles requires evaluating their mobility performance. Since autonomous vehicles are envisioned to make decisions in a variety of situations and environments too diverse to practically assess with only physical testing, their development, and evaluation will necessaril…