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

3 citations · 3 across the 4 of their papers we have counts for

collaborators

13 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.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

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…

cs.HC2025

iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement

Kohou Wang, ZhaoXiang Liu, Lin Bai +5

It is crucial that robots' performance can be improved after deployment, as they are inherently likely to encounter novel scenarios never seen before. This paper presents an innova…

cs.LG2025

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization

Enbo Zhao, Yi Shen, Shuming Shi +7

Recently, there is a high demand for deploying DeepSeek-R1 and V3 locally, possibly because the official service often suffers from being busy and some organizations have data priv…