activity
20222025
most citedLM4LV: A Frozen Large Language Model for Low-level Vision Tasks

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Fanghua Yu, Jinjin Gu, Jinfan Hu +2

We introduce UniCon, a novel architecture designed to enhance control and efficiency in training adapters for large-scale diffusion models. Unlike existing methods that rely on bid…

cs.NI2024

Distributionally Robust Optimization for Computation Offloading in Aerial Access Networks

Guanwang Jiang, Ziye Jia, Lijun He +3

With the rapid increment of multiple users for data offloading and computation, it is challenging to guarantee the quality of service (QoS) in remote areas. To deal with the challe…

cs.CV20241 cited

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity

Shuo Cao, Yihao Liu, Wenlong Zhang +2

Traditional single-task image restoration methods excel in handling specific degradation types but struggle with multiple degradations. To address this limitation, we propose Group…

cs.CV20242 cited

LM4LV: A Frozen Large Language Model for Low-level Vision Tasks

Boyang Zheng, Jinjin Gu, Shijun Li +1

The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in compu…

cs.CV20231 cited

GET3D--: Learning GET3D from Unconstrained Image Collections

Fanghua Yu, Xintao Wang, Zheyuan Li +3

The demand for efficient 3D model generation techniques has grown exponentially, as manual creation of 3D models is time-consuming and requires specialized expertise. While generat…

cs.NI2023

Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC

Can Cui, Ziye Jia, Chao Dong +3

Multi-access edge computing (MEC) is regarded as a promising technology in the sixth-generation communication. However, the antenna gain is always affected by the environment when…