7 accepted papers
Printed-Circuit-board (PCB) footprint geometry labeling of integrated circuits (IC) is essential in defining the physical interface between components and the PCB layout, requiring precise visual perception. However, the unstructured nature of footprint drawings and abstract diagram annotations prev…
Recently, there has been a growing trend of employing large language models (LLMs) to judge the quality of other LLMs. Many studies have adopted closed-source models, mainly using GPT-4 as the evaluator. However, due to the closed-source nature of the GPT-4 model, employing it as an evaluator has re…
Calibrating large-scale camera arrays, such as those in dome-based setups, is time-intensive and typically requires dedicated captures of known patterns. While extrinsics in such arrays are fixed due to the physical setup, intrinsics often vary across sessions due to factors like lens adjustments or
How to effectively use limited supervised accent data to improve the accented ASR is of paramount importance. In this work, we propose an accent-specific quantization for joint unsupervised and supervised training (AQ-JUST) of end-to-end ASR models to address this issue. Specifically, two variants o…
Multi-accent speech recognition is a key challenge in current speech recognition due to the pronunciation variations of different accents. In this study, we propose a Cross-modal Parallel Training (CPT) approach for improving the accent robustness of state-of-the-art Conformer-Transducer (Conformer-…
Video-language models suffer from forgetting old/learned knowledge when trained with streaming data. In this work, we thus propose a continual video-language modeling (CVLM) setting, where models are supposed to be sequentially trained on five widely-used video-text datasets with different data dist…
The end-to-end approaches for single-channel target speech extraction have attracted widespread attention. However, the studies for end-to-end multi-channel target speech extraction are still relatively limited. In this work, we propose two methods for exploiting the multi-channel spatial informatio…