1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
HRVDA: High-Resolution Visual Document Assistant
Chaohu Liu, Kun Yin, Haoyu Cao +6
Leveraging vast training data, multimodal large language models (MLLMs) have demonstrated formidable general visual comprehension capabilities and achieved remarkable performance a…
cs.CL2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao +6
Pronunciation assessment is a major challenge in the computer-aided pronunciation training system, especially at the word (phoneme)-level. To obtain word (phoneme)-level scores, cu…
cs.CV2023★ 1 cited
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
Yongxin Zhu, Zhen Liu, Yukang Liang +4
In this paper, we propose a novel multi-modal framework for Scene Text Visual Question Answering (STVQA), which requires models to read scene text in images for question answering.…