309 citations · 571 across the 19 of their papers we have counts for
20 papers
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
Xingwu Ji, Haochen Niu, Dexin Duan +3
Recently, learning-based robotic navigation systems have gained extensive research attention and made significant progress. However, the diversity of open-world scenarios poses a m…
A Skeleton-Based Topological Planner for Exploration in Complex Unknown Environments
Haochen Niu, Xingwu Ji, Lantao Zhang +3
The capability of autonomous exploration in complex, unknown environments is important in many robotic applications. While recent research on autonomous exploration have achieved m…
Explicit Mutual Information Maximization for Self-Supervised Learning
Lele Chang, Peilin Liu, Qinghai Guo +1
Recently, self-supervised learning (SSL) has been extensively studied. Theoretically, mutual information maximization (MIM) is an optimal criterion for SSL, with a strong theoretic…
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network
Dexin Duan, Peilin liu, Bingwei Hui +1
On-device computing, or edge computing, is becoming increasingly important for remote sensing, particularly in applications like deep network-based perception on on-orbit satellite…
Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency
Xingwu Ji, Peilin Liu, Haochen Niu +3
Visual simultaneous localization and mapping (SLAM) systems face challenges in detecting loop closure under the circumstance of large viewpoint changes. In this paper, we present a…
Optimally Controllable Perceptual Lossy Compression
Zeyu Yan, Fei Wen, Peilin Liu
Recent studies in lossy compression show that distortion and perceptual quality are at odds with each other, which put forward the tradeoff between distortion and perception (D-P).…
Masks Fusion with Multi-Target Learning For Speech Enhancement
Liangchen Zhou, Wenbin Jiang, Jingyan Xu +2
Recently, deep neural network (DNN) based time-frequency (T-F) mask estimation has shown remarkable effectiveness for speech enhancement. Typically, a single T-F mask is first esti…
Optimal Transport for Unsupervised Denoising Learning
Wei Wang, Fei Wen, Zeyu Yan +1
Recently, much progress has been made in unsupervised denoising learning. However, existing methods more or less rely on some assumptions on the signal and/or degradation model, wh…
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan, Fei Wen, Rendong Ying +2
Lossy compression algorithms are typically designed to achieve the lowest possible distortion at a given bit rate. However, recent studies show that pursuing high perceptual qualit…
A Robust 3D Registration Method via Simultaneous Inlier Identification and Model Estimation
Xianyun Qian, Fei Wen, Peilin Liu
Robust 3D registration is a fundamental problem in computer vision and robotics, where the goal is to estimate the geometric transformation between two sets of measurements in the…
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang, Yipeng Liu, Jiani Liu +2
Most compressive sensing (CS) reconstruction methods can be divided into two categories, i.e. model-based methods and classical deep network methods. By unfolding the iterative opt…
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring
Fei Wen, Rendong Ying, Yipeng Liu +2
Blind image deblurring is a long standing challenging problem in image processing and low-level vision. Recently, sophisticated priors such as dark channel prior, extreme channel p…
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Fei Wen, Rendong Ying, Peilin Liu +1
Matrix completion has attracted much interest in the past decade in machine learning and computer vision. For low-rank promotion in matrix completion, the nuclear norm penalty is c…
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
Heejin Park, Shuang Zhai, Long Lu +1
While it is compelling to process large streams of IoT data on the cloud edge, doing so exposes the data to a sophisticated, vulnerable software stack on the edge and hence securit…
Efficient Outlier Removal in Large Scale Global Structure-from-Motion
Fei Wen, Danping Zou, Rendong Ying +1
This work addresses the outlier removal problem in large-scale global structure-from-motion. In such applications, global outlier removal is very useful to mitigate the deteriorati…
Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G
Fei Wen, Peilin Liu, Haichao Wei +1
Accurate indoor localization has long been a challenging problem due to the presence of multipath. Joint direction-of-arrival (DOA) and time delay (TD) estimation is a promising te…
Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization
Fei Wen, Yuan Yang, Ling Pei +2
This work addresses the robust reconstruction problem of a sparse signal from compressed measurements. We propose a robust formulation for sparse reconstruction which employs the $…
Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting
Fei Wen, Lasith Adhikari, Ling Pei +3
This work addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, supe…
Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties
Fei Wen, Yuan Yang, Peilin Liu +1
This work addresses the issue of large covariance matrix estimation in high-dimensional statistical analysis. Recently, improved iterative algorithms with positive-definite guarant…
Efficient Minimization Algorithms for Compressive Sensing Based on Proximity Operator
Fei Wen, Yuan Yang, Peilin Liu +2
This paper considers solving the unconstrained -norm () regularized least squares (-LS) problem for recovering sparse signals in compressive sensing. We…