5 accepted papers
End-to-end planning methods are the de-facto standard of the current autonomous driving system, while the robustness of the data-driven approaches suffers due to the notorious long-tail problem (i.e., rare but safety-critical failure cases). In this work, we explore whether recent diffusion-based vi
In recent years, gesture recognition based on data gloves has attracted increasing attention as a human-computer interaction (HCI) method that is natural, convenient, stable, robust, easy to recognize, and applicable to various usage environments. This research first proposes an advanced smart data…
This paper introduces a novel method for matching visible light and infrared images, termed the Visible Light and Infrared Image Matching Network (VLIMNet). In the image encoding stage, we incorporate a generative architecture-based modality transformation network after the SuperPoint encoder, enabl…
Current formation assignment and optimization methods frequently overlook the influence of rotational dynamics, limiting their operational flexibility. Additionally, these methods typically neglect the impact of obstacles, which may also hinder their effectiveness in obstacle-rich environments. To a
Computer-Assisted Pronunciation Training (CAPT) plays an important role in language learning. Conventional ASR-based CAPT methods require expensive annotation of the ground truth pronunciation for the supervised training. Mean-while, certain undefined non-native phonemes cannot be correctly classifi…