Qilong Wang

Orcid: 0000-0002-3765-9787

Affiliations:

Tianjin University, China
Dalian University of Technology, China (PhD 2018)
Heilongjiang University, China (former)

According to our database¹, Qilong Wang authored at least 65 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Relation Knowledge Distillation by Auxiliary Learning for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction.

[BibT_eX]

[DOI]

CoRR, 2024

Fine-Grained Domain Generalization with Feature Structuralization.

[BibT_eX]

[DOI]

CoRR, 2024

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.

[BibT_eX]

[DOI]

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

Fully Cascade Consistency Learning for One-Stage Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2023

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Multi-head second-order pooling for graph transformer networks.

[BibT_eX]

[DOI]

Zhe Dong

Qilong Wang

Pengfei Zhu

Pattern Recognit. Lett., March, 2023

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Tuning Pre-trained Model via Moment Probing.

[BibT_eX]

[DOI]

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

Reliable and Interpretable Personalized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Temporal grafter network: Rethinking LSTM for effective video recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2022

DropCov: A Simple yet Effective Method for Improving Deep Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Constrained Online Cut-Paste for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-scale structural kernel representation for object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization.

[BibT_eX]

[DOI]

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

Graph attention mechanism with global contextual information for multi-label image recognition.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2021

So-ViT: Mind Visual Tokens for Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal-attentive Covariance Pooling Networks for Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.

[BibT_eX]

[DOI]

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

2020

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Locality-constrained affine subspace coding for image classification and retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Learning second-order statistics for place recognition based on robust covariance estimation of CNN features.

[BibT_eX]

[DOI]

Neurocomputing, 2020

What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective.

[BibT_eX]

[DOI]

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

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Neural Blind Deconvolution Using Deep Priors.

[BibT_eX]

[DOI]

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

2019

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network.

[BibT_eX]

[DOI]

CoRR, 2019

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching.

[BibT_eX]

[DOI]

CoRR, 2019

Self-Attention Relation Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Deep Global Generalized Gaussian Networks.

[BibT_eX]

[DOI]

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

Global Second-Order Pooling Convolutional Networks.

[BibT_eX]

[DOI]

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

2018

An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification.

[BibT_eX]

[DOI]

IEEE Access, 2018

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.

[BibT_eX]

[DOI]

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

Towards Generalized and Efficient Metric Learning on Riemannian Manifold.

[BibT_eX]

[DOI]

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

Support Vector Metric Learning on Symmetric Positive Definite Manifold.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Multi-Scale Location-Aware Kernel Representation for Object Detection.

[BibT_eX]

[DOI]

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

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization.

[BibT_eX]

[DOI]

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

2017

High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Joint distance and similarity measure learning based on triplet-based constraints.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Is Second-Order Information Helpful for Large-Scale Visual Recognition?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition.

[BibT_eX]

[DOI]

Qilong Wang

Peihua Li

Lei Zhang

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

2016

Towards effective codebookless model for image classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Evaluation of ground distances and features in EMD-based GMM matching for texture classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Ask the dictionary: Soft-assignment location-orientation pooling for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding.

[BibT_eX]

[DOI]

Peihua Li

Xiaoxiao Lu

Qilong Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Shrinkage Expansion Adaptive Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Variational Earth Mover's Distance for Image Segmentation.

[BibT_eX]

[DOI]

Peihua Li

Qilong Wang

Proceedings of the Seventh International Conference on Image and Graphics, 2013

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models.

[BibT_eX]

[DOI]

Peihua Li

Qilong Wang

Lei Zhang

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications.

[BibT_eX]

[DOI]

Peihua Li

Qilong Wang

Proceedings of the Computer Vision - ECCV 2012, 2012

Robust Registration-Based Tracking by Sparse Representation with Model Update.

[BibT_eX]

[DOI]

Peihua Li

Qilong Wang

Proceedings of the Computer Vision - ACCV 2012, 2012

Qilong Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...