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.

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Bibliography

2024
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation.
IEEE Trans. Image Process., 2024

Relation Knowledge Distillation by Auxiliary Learning for Object Detection.
IEEE Trans. Image Process., 2024

SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction.
CoRR, 2024

Fine-Grained Domain Generalization with Feature Structuralization.
CoRR, 2024

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning.
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.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Fully Cascade Consistency Learning for One-Stage Object Detection.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Multi-head second-order pooling for graph transformer networks.
Pattern Recognit. Lett., March, 2023

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation.
CoRR, 2023

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Tuning Pre-trained Model via Moment Probing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reliable and Interpretable Personalized Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection.
IEEE Trans. Image Process., 2022

Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation.
IEEE Trans. Image Process., 2022

Temporal grafter network: Rethinking LSTM for effective video recognition.
Neurocomputing, 2022

DropCov: A Simple yet Effective Method for Improving Deep Architectures.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Constrained Online Cut-Paste for Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-scale structural kernel representation for object detection.
Pattern Recognit., 2021

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Graph attention mechanism with global contextual information for multi-label image recognition.
J. Electronic Imaging, 2021

ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting.
Neurocomputing, 2021

So-ViT: Mind Visual Tokens for Vision Transformer.
CoRR, 2021

Temporal-attentive Covariance Pooling Networks for Video Recognition.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2020

Locality-constrained affine subspace coding for image classification and retrieval.
Pattern Recognit., 2020

Learning second-order statistics for place recognition based on robust covariance estimation of CNN features.
Neurocomputing, 2020

What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Blind Deconvolution Using Deep Priors.
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.
CoRR, 2019

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching.
CoRR, 2019

Self-Attention Relation Network for Few-Shot Learning.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Deep Global Generalized Gaussian Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Global Second-Order Pooling Convolutional Networks.
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.
IEEE Trans. Circuits Syst. Video Technol., 2018

Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval.
Neurocomputing, 2018

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification.
IEEE Access, 2018

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Generalized and Efficient Metric Learning on Riemannian Manifold.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Support Vector Metric Learning on Symmetric Positive Definite Manifold.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Multi-Scale Location-Aware Kernel Representation for Object Detection.
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.
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.
IEEE Trans. Image Process., 2017

Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Joint distance and similarity measure learning based on triplet-based constraints.
Inf. Sci., 2017

Is Second-Order Information Helpful for Large-Scale Visual Recognition?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Towards effective codebookless model for image classification.
Pattern Recognit., 2016

Evaluation of ground distances and features in EMD-based GMM matching for texture classification.
Pattern Recognit., 2016

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition.
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.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Shrinkage Expansion Adaptive Metric Learning.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Variational Earth Mover's Distance for Image Segmentation.
Proceedings of the Seventh International Conference on Image and Graphics, 2013

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications.
Proceedings of the Computer Vision - ECCV 2012, 2012

Robust Registration-Based Tracking by Sparse Representation with Model Update.
Proceedings of the Computer Vision - ACCV 2012, 2012


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