172 citations · 174 across the 8 of their papers we have counts for
8 papers
TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM
Hengyi Xie, Chenfei Yao, Xianjin Wu +4
Vision-language-action (VLA) models commonly adopt an LLM-centric pathway, processing visual observations and language instructions through a large language model b…
Generative Compositor for Few-Shot Visual Information Extraction
Zhibo Yang, Wei Hua, Sibo Song +4
Visual Information Extraction (VIE), aiming at extracting structured information from visually rich document images, plays a pivotal role in document processing. Considering variou…
Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning
Linger Deng, Linghao Zhu, Yuliang Liu +6
Large Multimodal Models (LMMs) face limitations in geometric reasoning due to insufficient Chain of Thought (CoT) image-text training data. While existing approaches leverage templ…
Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition (STR) is a challenging task that requires large-scale annotated data for training. However, collecting and labeling real text images is expensive and time-co…
Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
Mingkun Yang, Biao Yang, Minghui Liao +2
Scene text recognition is a rapidly developing field that faces numerous challenges due to the complexity and diversity of scene text, including complex backgrounds, diverse fonts,…
Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models
Ling Fu, Zijie Wu, Yingying Zhu +2
Scene text detection techniques have garnered significant attention due to their wide-ranging applications. However, existing methods have a high demand for training data, and obta…
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Xinwei He, Silin Cheng, Dingkang Liang +3
Recently, 3D shape understanding has achieved significant progress due to the advances of deep learning models on various data formats like images, voxels, and point clouds. Among…
Focal Inverse Distance Transform Maps for Crowd Localization
Dingkang Liang, Wei Xu, Yingying Zhu +1
In this paper, we focus on the crowd localization task, a crucial topic of crowd analysis. Most regression-based methods utilize convolution neural networks (CNN) to regress a dens…