145 citations · 411 across the 14 of their papers we have counts for
14 papers
Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm
Yan Shu, Shaohui Liu, Honglei Xu +1
Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment. Nonet…
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing
Wenxue Cui, Shaohui Liu, Debin Zhao
By integrating certain optimization solvers with deep neural network, deep unfolding network (DUN) has attracted much attention in recent years for image compressed sensing (CS). H…
Image Compressed Sensing Using Non-local Neural Network
Wenxue Cui, Shaohui Liu, Feng Jiang +1
Deep network-based image Compressed Sensing (CS) has attracted much attention in recent years. However, the existing deep network-based CS schemes either reconstruct the target ima…
Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps
Dongsheng Wang, Chaohao Xie, Shaohui Liu +2
For image inpainting, the convolutional neural networks (CNN) in previous methods often adopt standard convolutional operator, which treats valid pixels and holes indistinguishably…
Multi-Stage Residual Hiding for Image-into-Audio Steganography
Wenxue Cui, Shaohui Liu, Feng Jiang +2
The widespread application of audio communication technologies has speeded up audio data flowing across the Internet, which made it a popular carrier for covert communication. In t…
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Wang Zhao, Shaohui Liu, Yezhi Shu +1
In this work, we tackle the essential problem of scale inconsistency for self-supervised joint depth-pose learning. Most existing methods assume that a consistent scale of depth an…
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng +3
We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance funct…
Image Inpainting with Learnable Bidirectional Attention Maps
Chaohao Xie, Shaohui Liu, Chao Li +5
Most convolutional network (CNN)-based inpainting methods adopt standard convolution to indistinguishably treat valid pixels and holes, making them limited in handling irregular ho…
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
Yi Wei, Shaohui Liu, Wang Zhao +2
In this paper, we present a new perspective towards image-based shape generation. Most existing deep learning based shape reconstruction methods employ a single-view deterministic…
RepPoints: Point Set Representation for Object Detection
Ze Yang, Shaohui Liu, Han Hu +2
Modern object detectors rely heavily on rectangular bounding boxes, such as anchors, proposals and the final predictions, to represent objects at various recognition stages. The bo…
Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni +1
Generating diverse yet specific data is the goal of the generative adversarial network (GAN), but it suffers from the problem of mode collapse. We introduce the concept of normaliz…
An Improved Evaluation Framework for Generative Adversarial Networks
Shaohui Liu, Yi Wei, Jiwen Lu +1
In this paper, we propose an improved quantitative evaluation framework for Generative Adversarial Networks (GANs) on generating domain-specific images, where we improve convention…
Impression Network for Video Object Detection
Congrui Hetang, Hongwei Qin, Shaohui Liu +1
Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccura…
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization
Jian Zhang, Shaohui Liu, Debin Zhao +2
Recently, total variation (TV) based minimization algorithms have achieved great success in compressive sensing (CS) recovery for natural images due to its virtue of preserving edg…