27 citations · 132 across the 19 of their papers we have counts for
8 papers · 1 filter
OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
Jonathan Zhao, Matthew Westerham, Mark Lakatos-Toth +3
We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade. Due to the lack…
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
Xichuan Zhou, Yicong Peng, Chunqiao Long +2
Monocular multi-object detection and localization in 3D space has been proven to be a challenging task. The MoNet3D algorithm is a novel and effective framework that can predict th…
Learning in the Frequency Domain
Kai Xu, Minghai Qin, Fei Sun +3
Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…
Light-Weight RetinaNet for Object Detection
Yixing Li, Fengbo Ren
Object detection has gained great progress driven by the development of deep learning. Compared with a widely studied task -- classification, generally speaking, object detection e…
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
Kai Xu, Zhikang Zhang, Fengbo Ren
This paper addresses the single-image compressive sensing (CS) and reconstruction problem. We propose a scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) that…
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li, Fengbo Ren
Convolutional neural network (CNN) has been widely used for vision-based tasks. Due to the high computational complexity and memory storage requirement, it is hard to directly depl…
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing
Zichuan Liu, Yixing Li, Fengbo Ren +1
In this paper, we develop a binary convolutional encoder-decoder network (B-CEDNet) for natural scene text processing (NSTP). It converts a text image to a class-distinguished sali…
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
Kai Xu, Fengbo Ren
This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS). Unlike prior works that perform reconstruction using iterative opti…