37 citations · 50 across the 7 of their papers we have counts for
7 papers
PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis
Dexiang Li, Zhenning Che, Haijun Zhang +3
Pavement condition assessment is essential for road safety and maintenance. Existing research has made significant progress. However, most studies focus on conventional computer vi…
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
Dongliang Zhou, Haijun Zhang, Kai Yang +5
The field of fashion compatibility learning has attracted great attention from both the academic and industrial communities in recent years. Many studies have been carried out for…
Cut-and-Paste: Subject-Driven Video Editing with Attention Control
Zhichao Zuo, Zhao Zhang, Yan Luo +4
This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-dri…
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
Kangzhe Liu, Jianghong Ma, Shanshan Feng +2
The growing popularity of subscription services in video game consumption has emphasized the importance of offering diversified recommendations. Providing users with a diverse rang…
Long-Range Zero-Shot Generative Deep Network Quantization
Yan Luo, Yangcheng Gao, Zhao Zhang +3
Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization
Yangcheng Gao, Zhao Zhang, Richang Hong +3
To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floatin…
A Simple Approach to Automated Spectral Clustering
Jicong Fan, Yiheng Tu, Zhao Zhang +2
The performance of spectral clustering heavily relies on the quality of affinity matrix. A variety of affinity-matrix-construction (AMC) methods have been proposed but they have hy…