462 citations · 1.9k across the 105 of their papers we have counts for
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Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection
Kai Li, Jie Yang, Siwei Ma +4
Pixel-level road crack detection has always been a challenging task in intelligent transportation systems. Due to the external environments, such as weather, light, and other facto…
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You, Jian Zhang, Jingfen Xie +2
Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…
Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han +2
Recently, transformer has achieved remarkable performance on a variety of computer vision applications. Compared with mainstream convolutional neural networks, vision transformers…
Rate Distortion Characteristic Modeling for Neural Image Compression
Chuanmin Jia, Ziqing Ge, Shanshe Wang +2
End-to-end optimized neural image compression (NIC) has obtained superior lossy compression performance recently. In this paper, we consider the problem of rate-distortion (R-D) ch…
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Wei Sun, Xiongkuo Min, Danyang Tu +2
Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE…
Visual Analysis Motivated Rate-Distortion Model for Image Coding
Zhimeng Huang, Chuanmin Jia, Shanshe Wang +1
Optimized for pixel fidelity metrics, images compressed by existing image codec are facing systematic challenges when used for visual analysis tasks, especially under low-bitrate c…