activity
20202026
most citedQ-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

20 citations · 33 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based Diffusion

Wenqi Si, Gongyang Li, Shixiang Shi +1

Weakly-supervised RGB-D Salient Object Detection (SOD) is explored to reduce the heavy burden of pixel-level annotations. But scribble annotations lack the structure and details of…

eess.IV2026

Multi-task Just Recognizable Difference for Video Coding for Machines: Database, Model, and Coding Application

Junqi Liu, Yun Zhang, Xiaoxia Huang +2

Just Recognizable Difference (JRD) boosts coding efficiency for machine vision through visibility threshold modeling, but is currently limited to a single-task scenario. To address…

cs.CV2026

DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video

Jeonghaeng Lee, Seok Keun Choi, Zhixuan Li +2

While recent 3D head avatar creation methods attempt to animate facial dynamics, they often fail to capture personalized details, limiting realism and expressiveness. To fill this…

cs.CV2025

Real-World Scene Recovery for Scattering-Degraded Images Using Spatial and Frequency Priors

Yun Liu, Tao Li, Guanghui Yue +3

Scene recovery from real-world images degraded by scattering effects, such as haze, sandstorm, underwater, and remote sensing conditions, remains a fundamental yet challenging prob…

cs.CV2025

MUGSQA: Novel Multi-Uncertainty-Based Gaussian Splatting Quality Assessment Method, Dataset, and Benchmarks

Tianang Chen, Jian Jin, Shilv Cai +2

Gaussian Splatting (GS) has recently emerged as a promising technique for 3D object reconstruction, delivering high-quality rendering results with significantly improved reconstruc…

cs.CV2025

Customizable ROI-Based Deep Image Compression

Jian Jin, Fanxin Xia, Feng Ding +5

Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for higher-quality reconstruction. However, as the users (including human clients and…

cs.IR2024

MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce

Hao Jiang, Haoxiang Zhang, Qingshan Hou +4

Providing high-quality item recall for text queries is crucial in large-scale e-commerce search systems. Current Embedding-based Retrieval Systems (ERS) embed queries and items int…

eess.IV2024★ 4 cited

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content

Yuqin Cao, Xiongkuo Min, Yixuan Gao +3

As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data becomes paramount for digital media applications. Since multimedia data includes multiple…

cs.CV2023★ 20 cited

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Haoning Wu, Zicheng Zhang, Erli Zhang +8

The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift in computer vision from specialized models to general-purpose foundation models. Neverthel…

eess.IV2023★ 2 cited

Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method

Yixuan Li, Bolin Chen, Baoliang Chen +3

Recent years have witnessed an exponential increase in the demand for face video compression, and the success of artificial intelligence has expanded the boundaries beyond traditio…

cs.CV2020★ 7 cited

Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading

Yupeng Cheng, Qing Guo, Felix Juefei-Xu +3

Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to au…