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20212025
most citedBERT-LID: Leveraging BERT to Improve Spoken Language Identification

14 citations · 63 across the 29 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Explicit Relational Reasoning Network for Scene Text Detection

Yuchen Su, Zhineng Chen, Yongkun Du +4

Connected component (CC) is a proper text shape representation that aligns with human reading intuition. However, CC-based text detection methods have recently faced a developmenta…

cs.CV2024

VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models

Kailai Feng, Yabo Zhang, Haodong Yu +4

Artistic typography is a technique to visualize the meaning of input character in an imaginable and readable manner. With powerful text-to-image diffusion models, existing methods…

cs.CL2024★ 1 cited

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning

Shuo Yin, Weihao You, Zhilong Ji +2

The tool-use Large Language Models (LLMs) that integrate with external Python interpreters have significantly enhanced mathematical reasoning capabilities for open-source LLMs, whi…

cs.CV2024★ 1 cited

LLM as a Complementary Optimizer to Gradient Descent: A Case Study in Prompt Tuning

Zixian Guo, Ming Liu, Zhilong Ji +3

Mastering a skill generally relies on both hands-on experience from doers and insightful, high-level guidance by mentors. Will this strategy also work well for solving complex non-…

cs.CV2024

MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation

Yuxiang Wei, Zhilong Ji, Jinfeng Bai +3

Text-to-image (T2I) diffusion models have shown significant success in personalized text-to-image generation, which aims to generate novel images with human identities indicated by…

cs.CV2024★ 2 cited

HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention

Xiaolong Tang, Meina Kan, Shiguang Shan +3

Predicting the trajectories of road agents is essential for autonomous driving systems. The recent mainstream methods follow a static paradigm, which predicts the future trajectory…