Yun Liu

Orcid: 0000-0001-6143-0264

Affiliations:

Agency for Science, Technology and Research, A*STAR, Institute for Infocomm Research, I2R, Fusionopolis, Singapore
Nankai University, College of Computer Science, Tianjin, China (PhD 2020)

According to our database¹, Yun Liu authored at least 67 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Boosting Salient Object Detection With Transformer-Based Asymmetric Bilateral U-Net.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Revisiting Computer-Aided Tuberculosis Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

2023

P2T: Pyramid Pooling Transformer for Scene Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A2SPPNet: Attentive Atrous Spatial Pyramid Pooling Network for Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Low-Resolution Self-Attention for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Computer-Aided Tuberculosis Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

EDN: Salient Object Detection via Extremely-Downsampled Network.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

DNA: Deeply Supervised Nonlinear Aggregation for Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

MobileSal: Extremely Efficient RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

DRL-Assisted Topology Identification and Time Synchronization for PIoT-Empowered Distributed Renewable Resource Dispatch.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., 2022

Semantic Edge Detection with Diverse Deep Supervision.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Deep Negative Correlation Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes.

[BibT_eX]

[DOI]

CoRR, 2022

Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Lightweight Salient Object Detection via Hierarchical Visual Perception Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Correction to "Nonlinear Regression via Deep Negative Correlation Learning".

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear Regression via Deep Negative Correlation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Ordered or Orderless: A Revisit for Video Based Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net.

[BibT_eX]

[DOI]

CoRR, 2021

Transformer in Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A simple saliency detection approach via automatic top-down feature fusion.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Refinedbox: Refining for fewer and high-quality object proposals.

[BibT_eX]

[DOI]

Yun Liu

Shijie Li

Ming-Ming Cheng

Neurocomputing, 2020

GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

EDN: Salient Object Detection via Extremely-Downsampled Network.

[BibT_eX]

[DOI]

CoRR, 2020

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow.

[BibT_eX]

[DOI]

CoRR, 2020

Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation.

[BibT_eX]

[DOI]

Shijie Li

Yun Liu

Juergen Gall

CoRR, 2020

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation.

[BibT_eX]

[DOI]

Yu Qiu

Yun Liu

Jing Xu

CoRR, 2020

Rethinking Computer-Aided Tuberculosis Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Richer Convolutional Features for Edge Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

BING: Binarized normed gradients for objectness estimation at 300fps.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2019

AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning.

[BibT_eX]

[DOI]

CoRR, 2019

An Evaluation of Feature Matchers forFundamental Matrix Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Regression via Deep Negative Correlation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks.

[BibT_eX]

[DOI]

CoRR, 2019

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.

[BibT_eX]

[DOI]

CoRR, 2019

DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Automatic Feature Exploration and an Application in Defect Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2019

Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Revisiting Multi-Level Feature Fusion: A Simple Yet Effective Network for Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Scoot: A Perceptual Metric for Facial Sketches.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multi-Level Context Ultra-Aggregation for Stereo Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

An Evaluation of Feature Matchers for Fundamental Matrix Estimation.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Sequential Optimization for Efficient High-Quality Object Proposal Generation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning hybrid convolutional features for edge detection.

[BibT_eX]

[DOI]

Neurocomputing, 2018

MatchBench: An Evaluation of Feature Matchers.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Pixel-wise Labeling from the Internet without Human Interaction.

[BibT_eX]

[DOI]

CoRR, 2018

Semantic Edge Detection with Diverse Deep Supervision.

[BibT_eX]

[DOI]

CoRR, 2018

Structured Skip List: A Compact Data Structure for 3D Reconstruction.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

DEL: Deep Embedding Learning for Efficient Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Direct Line Guidance Odometry.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Crowd Counting With Deep Negative Correlation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Structure-Measure: A New Way to Evaluate Foreground Maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Richer Convolutional Features for Edge Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

HFS: Hierarchical Feature Selection for Efficient Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

BING++: A Fast High Quality Object Proposal Generator at 100fps.

[BibT_eX]

[DOI]

CoRR, 2015

Yun Liu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...