9 accepted papers
For visually impaired individuals, assistive navigation systems play a crucial role in enabling independent mobility. However, long-horizon planning based on natural language (NL) instructions in complex indoor environments remains a significant challenge. Recent studies show the strong potential of…
Adversarial patch defense has made significant progress recently, but defending against natural-looking patches remains a challenge due to their content-agnostic nature. We hypothesize that these patches exhibit position-related anomalies and are inspired by anomaly detection techniques. However, di
Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing methods, e.g., Feature Pyramid Network (FPN)-based algorithms, focus on extracting high-resolution and low-res
Achieving accurate segmentation in low-light scenes is challenging due to 1) severe domain shift encountered when models trained on daylight data are applied to such scenes and 2) lack of large-scale fine-grained labels in low-light conditions. A good idea is to use the generalization capabilities o
Large-scale outdoor navigation is essential for unmanned ground vehicles (UGVs), but despite significant advancements, they still face two key challenges in practical applications. The first one is how to ensure safe navigation in environments with dynamic and low-lying obstacles that LiDAR cannot d
Topological semantic maps provide a practical solution to enhance indoor navigation for the Partially Sighted or Visually Impaired (PSVI). Segmenting indoor floor plans and extracting boundaries are key to constructing these maps. The existing methods exhibit low accuracy in segmentation. To achieve…
Image captioning is a multi-modal task that enables the transformation from scene images to natural language, providing valuable insights for visually impaired individuals to understand their environment. Therefore, its application to wearable navigation devices for visually impaired individuals hol…
In the fields of robotic perception and computer vision, achieving accurate semantic segmentation of low-light or nighttime scenes is challenging. This is primarily due to the limited visibility of objects and the reduced texture and color contrasts among them. To address the issue of limited visibi…
Although remarkable advances have been achieved in generic object detection, small object detection (SOD) remains challenging owing to small objects’ information loss and noisy representation caused by their non-uniform distribution. Their limited width and height, scale variations, and redundant co…