Longguang Wang

Orcid: 0000-0003-0429-0263

According to our database1, Longguang Wang authored at least 62 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
3D Face Recognition: Two Decades of Progress and Prospects.
ACM Comput. Surv., March, 2024

Deep Semantic Graph Matching for Large-Scale Outdoor Point Cloud Registration.
IEEE Trans. Geosci. Remote. Sens., 2024

Mixed-Precision Network Quantization for Infrared Small Target Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning.
CoRR, 2024

2023
Learning scalable dynamic filter in convolutional networks.
Pattern Recognit. Lett., December, 2023

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching.
IEEE Trans. Multim., 2023

Dense Nested Attention Network for Infrared Small Target Detection.
IEEE Trans. Image Process., 2023

RepISD-Net: Learning Efficient Infrared Small-Target Detection Network via Structural Re-Parameterization.
IEEE Trans. Geosci. Remote. Sens., 2023

Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution.
IEEE Signal Process. Lett., 2023

HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization.
IEEE Robotics Autom. Lett., 2023

Disentangling Light Fields for Super-Resolution and Disparity Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks.
CoRR, 2023

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results.
CoRR, 2023

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection.
CoRR, 2023

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution.
CoRR, 2023

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VAPCNet: Viewpoint-Aware 3D Point Cloud Completion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Light Field Image Super-Resolution With Transformers.
IEEE Signal Process. Lett., 2022

SLFNet: A Stereo and LiDAR Fusion Network for Depth Completion.
IEEE Robotics Autom. Lett., 2022

SPNet: Learning Stereo Matching With Slanted Plane Aggregation.
IEEE Robotics Autom. Lett., 2022

Parallax Attention for Unsupervised Stereo Correspondence Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

IF-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution.
CoRR, 2022

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.
CoRR, 2022

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution.
CoRR, 2022

Light Field Angular Super-Resolution via Dense Correspondence Field Reconstruction.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022


Learnable Lookup Table for Neural Network Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Decoupling Makes Weakly Supervised Local Feature Better.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Occlusion-Aware Cost Constructor for Light Field Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Light Field Image Super-Resolution Using Deformable Convolution.
IEEE Trans. Image Process., 2021

Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks.
IEEE Trans. Geosci. Remote. Sens., 2021

Deep Bilateral Learning for Stereo Image Super-Resolution.
IEEE Signal Process. Lett., 2021

Learning A Single Network for Scale-Arbitrary Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Personalized QoE Optimization with Edge-Aided Video Enhancement Services.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Symmetric Parallax Attention for Stereo Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Unsupervised Degradation Representation Learning for Blind Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploring Sparsity in Image Super-Resolution for Efficient Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Video Super-Resolution Using HR Optical Flow Estimation.
IEEE Trans. Image Process., 2020

Deformable 3D Convolution for Video Super-Resolution.
IEEE Signal Process. Lett., 2020

A Stereo Attention Module for Stereo Image Super-Resolution.
IEEE Signal Process. Lett., 2020

Learning Sparse Masks for Efficient Image Super-Resolution.
CoRR, 2020

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks.
CoRR, 2020

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Spatial-Angular Interaction for Light Field Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Flickr1024: A Dataset for Stereo Image Super-Resolution.
CoRR, 2019

Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Parallax Attention for Stereo Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning for Video Super-Resolution Through HR Optical Flow Estimation.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Fast single image super-resolution based on sigmoid transformation.
CoRR, 2017

Fast multi-frame image super-resolution based on MRF.
CoRR, 2017


  Loading...