Jie Li

ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System

In this paper, we present a multi-camera visual odometry (VO) system for...
09/30/2019 ∙ by Zhenzhen Xiang, et al. ∙ 19 ∙ share

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Facial Attribute Capsules for Noise Face Super Resolution

Existing face super-resolution (SR) methods mainly assume the input imag...
02/16/2020 ∙ by Jingwei Xin, et al. ∙ 16 ∙ share

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Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

Accurate segmentation of punctate white matter lesion (PWML) in infantil...
06/24/2019 ∙ by Yalong Liu, et al. ∙ 15 ∙ share

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Depth Based Semantic Scene Completion with Position Importance Aware Loss

Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
01/29/2020 ∙ by Yu Liu, et al. ∙ 14 ∙ share

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Probabilistic 3D Multi-Object Tracking for Autonomous Driving

3D multi-object tracking is a key module in autonomous driving applicati...
01/16/2020 ∙ by Hsu-kuang Chiu, et al. ∙ 14 ∙ share

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AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on real world super-resolution...
11/18/2019 ∙ by Andreas Lugmayr, et al. ∙ 12 ∙ share

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Image Fine-grained Inpainting

Image inpainting techniques have shown promising improvement with the as...
02/07/2020 ∙ by Zheng Hui, et al. ∙ 12 ∙ share

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Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

The explosive growth of digital images in video surveillance and social ...
11/01/2018 ∙ by Hu Han, et al. ∙ 10 ∙ share

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A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation

3D image segmentation is one of the most important and ubiquitous proble...
06/18/2019 ∙ by Zhenxi Zhang, et al. ∙ 10 ∙ share

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HighEr-Resolution Network for Image Demosaicing and Enhancing

Neural-networks based image restoration methods tend to use low-resoluti...
11/19/2019 ∙ by Kangfu Mei, et al. ∙ 9 ∙ share

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Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning

Heating, Ventilation, and Air Conditioning (HVAC) is extremely energy-co...
01/15/2019 ∙ by Guanyu Gao, et al. ∙ 8 ∙ share

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Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning

Reconstructing perceived images based on brain signals measured with fun...
06/27/2019 ∙ by Ziqi Ren, et al. ∙ 8 ∙ share

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Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances

Dense depth estimation from a single image is a key problem in computer ...
10/04/2019 ∙ by Vitor Guizilini, et al. ∙ 7 ∙ share

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Video Face Super-Resolution with Motion-Adaptive Feedback Cell

Video super-resolution (VSR) methods have recently achieved a remarkable...
02/15/2020 ∙ by Jingwei Xin, et al. ∙ 6 ∙ share

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Boosting Real-Time Driving Scene Parsing with Shared Semantics

Real-time scene parsing is a fundamental feature for autonomous driving ...
09/16/2019 ∙ by Zhenzhen Xiang, et al. ∙ 5 ∙ share

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Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Self-supervised learning is showing great promise for monocular depth es...
02/27/2020 ∙ by Vitor Guizilini, et al. ∙ 5 ∙ share

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Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution

The performance of single image super-resolution has achieved significan...
09/28/2018 ∙ by Yanting Hu, et al. ∙ 4 ∙ share

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SPIGAN: Privileged Adversarial Learning from Simulation

Deep Learning for Computer Vision depends mainly on the source of superv...
10/09/2018 ∙ by Kuan-Hui Lee, et al. ∙ 4 ∙ share

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Progressive Perception-Oriented Network for Single Image Super-Resolution

Recently, it has been shown that deep neural networks can significantly ...
07/24/2019 ∙ by Zheng Hui, et al. ∙ 3 ∙ share

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Anisotropic Convolutional Networks for 3D Semantic Scene Completion

As a voxel-wise labeling task, semantic scene completion (SSC) tries to ...
04/05/2020 ∙ by Jie Li, et al. ∙ 2 ∙ share

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PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection

We introduce a novel single-shot object detector to ease the imbalance o...
08/09/2019 ∙ by Qiankun Tang, et al. ∙ 1 ∙ share

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Restricting Greed in Training of Generative Adversarial Network

Generative adversarial network (GAN) has gotten wide re-search interest ...
11/28/2017 ∙ by Haoxuan You, et al. ∙ 0 ∙ share

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Learning a Dilated Residual Network for SAR Image Despeckling

In this letter, to break the limit of the traditional linear models for ...
09/09/2017 ∙ by Qiang Zhang, et al. ∙ 0 ∙ share

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Comparison among dimensionality reduction techniques based on Random Projection for cancer classification

Random Projection (RP) technique has been widely applied in many scenari...
08/25/2016 ∙ by Haozhe Xie, et al. ∙ 0 ∙ share

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WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images

This paper reports on WaterGAN, a generative adversarial network (GAN) f...
02/23/2017 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Random Sampling for Fast Face Sketch Synthesis

Exemplar-based face sketch synthesis plays an important role in both dig...
01/08/2017 ∙ by Nannan Wang, et al. ∙ 0 ∙ share

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Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition

Face images captured in heterogeneous environments, e.g., sketches gener...
07/01/2016 ∙ by Chunlei Peng, et al. ∙ 0 ∙ share

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Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics

Face sketch synthesis has wide applications ranging from digital enterta...
03/25/2016 ∙ by Nannan Wang, et al. ∙ 0 ∙ share

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Graphical Representation for Heterogeneous Face Recognition

Heterogeneous face recognition (HFR) refers to matching face images acqu...
03/02/2015 ∙ by Chunlei Peng, et al. ∙ 0 ∙ share

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Single Image Super-Resolution via Cascaded Multi-Scale Cross Network

The deep convolutional neural networks have achieved significant improve...
02/24/2018 ∙ by Yanting Hu, et al. ∙ 0 ∙ share

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FDRC: Flow-Driven Rule Caching Optimization in Software Defined Networking

With the sharp growth of cloud services and their possible combinations,...
03/12/2018 ∙ by He Li, et al. ∙ 0 ∙ share

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Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
06/01/2018 ∙ by Qiangqiang Yuan, et al. ∙ 0 ∙ share

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AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System

Wi-Fi positioning is currently the mainstream indoor positioning method,...
04/15/2018 ∙ by Qiyue Li, et al. ∙ 0 ∙ share

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Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint

In this work, we propose a new method for multi-person pose estimation w...
07/26/2018 ∙ by Miaopeng Li, et al. ∙ 0 ∙ share

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Spatial-Spectral Fusion by Combining Deep Learning and Variation Model

In the field of spatial-spectral fusion, the model-based method and the ...
09/04/2018 ∙ by Huanfeng Shen, et al. ∙ 0 ∙ share

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Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network

The existence of hybrid noise in hyperspectral images (HSIs) severely de...
10/01/2018 ∙ by Qiang Zhang, et al. ∙ 0 ∙ share

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Gated Recurrent Unit Based Acoustic Modeling with Future Context

The use of future contextual information is typically shown to be helpfu...
05/18/2018 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Linear Coded Caching Scheme for Centralized Networks

Coded caching systems have been widely studied to reduce the data transm...
10/14/2018 ∙ by Minquan Cheng, et al. ∙ 0 ∙ share

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Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence

Lyme disease is an infectious disease that is caused by a bacterium call...
09/17/2018 ∙ by Yimeng Xie, et al. ∙ 0 ∙ share

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Learning to Fuse Things and Stuff

We propose an end-to-end learning approach for panoptic segmentation, a ...
12/04/2018 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Improving Gated Recurrent Unit Based Acoustic Modeling with Batch Normalization and Enlarged Context

The use of future contextual information is typically shown to be helpfu...
11/26/2018 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Universal Perturbation Attack Against Image Retrieval

Despite the remarkable success, deep learning models have shown to be vu...
12/03/2018 ∙ by Jie Li, et al. ∙ 0 ∙ share

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A Note on the Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems

For high-rate maximum distance separable (MDS) codes, most early constru...
01/18/2019 ∙ by Jie Li, et al. ∙ 0 ∙ share

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A Systematic Construction of MDS Codes with Small Sub-packetization Level and Near Optimal Repair Bandwidth

In the literature, all the known high-rate MDS codes with the optimal re...
01/24/2019 ∙ by Jie Li, et al. ∙ 0 ∙ share

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

RGB images differentiate from depth images as they carry more details ab...
03/02/2019 ∙ by Jie Li, et al. ∙ 0 ∙ share

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Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis

Short-term load forecasting (STLF) is essential for the reliable and eco...
03/26/2019 ∙ by Yayu Peng, et al. ∙ 0 ∙ share

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Shared Predictive Cross-Modal Deep Quantization

With explosive growth of data volume and ever-increasing diversity of da...
04/16/2019 ∙ by Erkun Yang, et al. ∙ 0 ∙ share

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Phase Noise Influence in Optical OFDM Systems employing RF Pilot Tone for Phase Noise Cancellation

For coherent and direct-detection Orthogonal Frequency Division Multiple...
07/19/2016 ∙ by Gunnar Jacobsen, et al. ∙ 0 ∙ share

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No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

No-reference image quality assessment (NR-IQA) aims to measure the image...
04/18/2019 ∙ by Jia Yan, et al. ∙ 0 ∙ share

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An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms

Cephalometric tracing method is usually used in orthodontic diagnosis an...
06/17/2019 ∙ by Zhusi Zhong, et al. ∙ 0 ∙ share

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Jie Li

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