most citedA Large Vision-Language Model based Environment Perception System for Visually Impaired People

3 citations · 3 across the 6 of their papers we have counts for

collaborators

16 papers

cs.CV2025

LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation

Huanlin Gao, Ping Chen, Fuyuan Shi +5

We present LeMiCa, a training-free and efficient acceleration framework for diffusion-based video generation. While existing caching strategies primarily focus on reducing local he…

cs.CL2025

Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs

Xiaoran Liu, Yuerong Song, Zhigeng Liu +6

Rotary Position Embeddings (RoPE) have become a standard for encoding sequence order in Large Language Models (LLMs) by applying rotations to query and key vectors in the complex p…

cs.CV2025

HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment

Ruijia Wu, Ping Chen, Fei Shen +8

Contrastive vision-language models like CLIP have achieved impressive results in image-text retrieval by aligning image and text representations in a shared embedding space. Howeve…

cs.CV2025

PSTF-AttControl: Per-Subject-Tuning-Free Personalized Image Generation with Controllable Face Attributes

Xiang liu, Zhaoxiang Liu, Huan Hu +5

Recent advancements in personalized image generation have significantly improved facial identity preservation, particularly in fields such as entertainment and social media. Howeve…

cs.CV2025

Hierarchical Deep Fusion Framework for Multi-dimensional Facial Forgery Detection -- The 2024 Global Deepfake Image Detection Challenge

Kohou Wang, Huan Hu, Xiang Liu +4

The proliferation of sophisticated deepfake technology poses significant challenges to digital security and authenticity. Detecting these forgeries, especially across a wide spectr…

cs.CV2025

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance

Kaikai Zhao, Zhaoxiang Liu, Peng Wang +7

General-domain large multimodal models (LMMs) have achieved significant advances in various image-text tasks. However, their performance in the Intelligent Traffic Surveillance (IT…