activity
20222025
most citedHPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV2025

MDIQA: Unified Image Quality Assessment for Multi-dimensional Evaluation and Restoration

Shunyu Yao, Ming Liu, Zhilu Zhang +4

Recent advancements in image quality assessment (IQA), driven by sophisticated deep neural network designs, have significantly improved the ability to approach human perceptions. H…

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.CV2024

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.CV20242 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…