Yanyun Qu

发表

Deep Wavelet Network with Domain Adaptation for Single Image Demoireing

Yanyun Qu, Ming Hong, Yuan Xie, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Persistent Memory Residual Network for Single Image Super Resolution

Rong Chen, Yuan Xie, Yanyun Qu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Image super-resolution based on multikernel regression

Yanyun Qu, Ying Gu, Tian-Zhu Fang, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Hierarchical Knowledge Squeezed Adversarial Network Compression

Yanyun Qu, Peng Li, Yuan Xie, 2020, AAAI.

TGRS2547879-our-proof

Wensheng Zhang, Yanyun Qu, Dacheng Tao, 2016 .

Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images

Yanyun Qu, Zhenzhen Lei, Yuan Xie, 2020, AAAI.

Multi-class spectral clustering based on particle swarm optimization

Yanyun Qu, Yuan Xie, Cuihua Li, 2009, PACIIA 2009.

Variational Distillation for Multi-View Learning

D. Tao, Yanyun Qu, Zongze Wu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting

J. Z. Wang, Hongming Shan, Yanyun Qu, 2022, ArXiv.

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

Jun Liu, Ming Hong, Yanyun Qu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ADAPTIVE CHAOTIC WATERMARKS RECOVERING WITHOUT REFERRING TO THE ORIGINAL IMAGE

Nanning Zheng, Yanyun Qu, Cuihua Li, 2004 .

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning

Yanyun Qu, Xin Tan, Zhizhong Zhang, 2022, ArXiv.

Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity

Yulun Zhang, Ding Liu, Junping Zhang, 2022, ACM Multimedia.

Hierarchical Walking Transformer for Object Re-Identification

Jun Liu, Chengjie Wang, Yanyun Qu, 2022, ACM Multimedia.

Evaluation of local features and classifiers in BOW model for image classification

Yanyun Qu, Hanzi Wang, Han Liu, 2014, Multimedia Tools and Applications.

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

Yanyun Qu, Dacheng Tao, Wensheng Zhang, 2018, International Journal of Computer Vision.

Super-resolution based on fast linear kernel regression

Yanyun Qu, Ying Gu, Cuihua Li, 2013, 2013 International Conference on Machine Learning and Cybernetics.

Image super-resolution based on multikernel regression

Ying Gu, Hanzi Wang, Yanyun Qu, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Ontology-driven hierarchical sparse coding for large-scale image classification

Jianping Fan, Yan Zhang, Yanyun Qu, 2019, Neurocomputing.

Unifying visual saliency with HOG feature learning for traffic sign detection

Cui-Hua Li, Yan-Yun Qu, Yuan Xie, 2009, 2009 IEEE Intelligent Vehicles Symposium.

Robust Kernelized Multiview Self-Representation for Subspace Clustering

Yanyun Qu, Lizhuang Ma, Dacheng Tao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

Dacheng Tao, Yanyun Qu, Longquan Dai, 2020, IEEE Transactions on Cybernetics.

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

Yuan Xie, Yanyun Qu, Dacheng Tao, 2016, International Journal of Computer Vision.

Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization pdf

Yuan Xie, Yanyun Qu, Wensheng Zhang, 2017, ArXiv.

Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten $p$-Norm Minimization

Yuan Xie, Dacheng Tao, Weiwei Wu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Contrastive Learning for Compact Single Image Dehazing

Lizhuang Ma, Yuan Xie, Yanyun Qu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Trident Dehazing Network

Jing Liu, Yanyun Qu, Lizhuang Ma, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Distilling Image Dehazing With Heterogeneous Task Imitation

Yanyun Qu, Ming Hong, Yuan Xie, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Enhanced Pix2pix Dehazing Network

Yanyun Qu, Yuan Xie, Yizi Chen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Joint-attention Discriminator for Accurate Super-resolution via Adversarial Training

Yuan Xie, Yanyun Qu, Rong Chen, 2019, ACM Multimedia.

Deep Multi-View Clustering via Multiple Embedding pdf

Yuan Xie, Yanyun Qu, Cuihua Li, 2018, ArXiv.

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

Yanyun Qu, Yuan Xie, Lizhuang Ma, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning

Yuan Xie, Shuyang Lin, Yanyun Qu, 2014, IEEE Transactions on Cybernetics.

Optimal operations for visual categorization

Jianxin Huang, Yi Xie, Yanyun Qu, 2010, ICIMCS '10.

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Chen Hong, Zhenfeng Zhu, Jiaying Liu, 2020, IEEE Transactions on Image Processing.

Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression

Yuan Xie, Dacheng Tao, Hanzi Wang, 2016, IEEE Transactions on Image Processing.

Image Denoising via Nonlocally Sparse Coding and Tensor Decomposition

Yuan Xie, Li-Min Zhu, Yanyun Qu, 2014, ICIMCS '14.

Distortion-driven Turbulence Effect Removal using Variational Model pdf

Yuan Xie, Dacheng Tao, Hanzi Wang, 2014, ArXiv.

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

Chen Hong, Bowen Li, Lei Zhang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Scale robust deep oriented-text detection network

Yuan Xie, Yanyun Qu, Yan Zhang, 2020, Pattern Recognit..

LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

Yanyun Qu, Yulun Zhang, Yun Fu, 2020, ECCV.

Lattice Network for Lightweight Image Restoration

Y. Fu, Yulun Zhang, Xiaotong Luo, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification

Li Lin, Fumin Shen, Dacheng Tao, 2017, IEEE Transactions on Image Processing.

Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting

J. Z. Wang, Hongming Shan, Yanyun Qu, 2022, Frontiers of Information Technology & Electronic Engineering.

Traffic-Sign Spotting in the Wild via Deep Features

Yanyun Qu, Cuihua Li, Jianyun Lu, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

Xiaoli Yu, Yanyun Qu, Ming Hong, 2018, CVAUI/IWCF/MIPPSNA@ICPR.

Novelty Detection via Non-Adversarial Generative Network pdf

Wang Yuan, Yanyun Qu, Lizhuang Ma, 2020, ArXiv.

Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning

Lizhuang Ma, Yuan Xie, Yanyun Qu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NTIRE 2020 Challenge on NonHomogeneous Dehazing

Jongmin Park, Venkateswararao Cherukuri, Hongyu Zhou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Bi-GANs-ST for Perceptual Image Super-resolution

Rong Chen, Yuan Xie, Yanyun Qu, 2018, ECCV Workshops.

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

Yanyun Qu, Yuan Xie, Cuihua Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

Tao Mei, Yuan Xie, Yanyun Qu, 2021, AAAI.

Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds pdf

Yanyun Qu, Lizhuang Ma, Jie Zhou, 2021, AAAI.

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection

Angela Yao, W. Zhang, Yanyun Qu, 2022, AAAI.

Dual Mutual Learning for Cross-Modality Person Re-Identification

Yanyun Qu, Zhizhong Zhang, Cong Wang, 2022, IEEE transactions on circuits and systems for video technology (Print).

Color fused multiple features for traffic sign recognition

Yanyun Qu, Xiaoqing Yang, Suwen Fang, 2012, ICIMCS '12.

Self-Mimic Mutual-Distillation for Cross-Modality Person Re-Identification

Zheng Wang, Xiaotong Luo, Ming Hong, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Yuan Xie, Angela Yao, Yanyun Qu, 2021, IJCAI.

Uncertainty-Driven Dehazing Network

Jianzhuang Liu, Ming Hong, Yanyun Qu, 2022, AAAI.

3D Reconstruction of Indoor Scenes via Image Registration

Bing Lu, Yanyun Qu, Ce Li, 2018, Neural Processing Letters.

Automatic online labeling images via co-active-learning

Yuan Xie, Zejian Yuan, Yanyun Qu, 2009, ICIMCS '09.

Image super-resolution base on multi-kernel regression

Yanyun Qu, Yuan Xie, Cuihua Li, 2016, Multimedia Tools and Applications.

Joint Deep Multi-View Learning for Image Clustering

Dacheng Tao, Yanyun Qu, Lizhuang Ma, 2020, IEEE Transactions on Knowledge and Data Engineering.

Learning All-In Collaborative Multiview Binary Representation for Clustering.

Yanyun Qu, Yuan Xie, Cuihua Li, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Airport Detection Base on Support Vector Machine from A Single Image

Nanning Zheng, Yanyun Qu, Cuihua Li, 2005, 2005 5th International Conference on Information Communications & Signal Processing.

Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing

Jing Liu, Haiyan Wu, Yuan Xie, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Meta Segmentation Network for Ultra-Resolution Medical Images pdf

Yanyun Qu, Yuan Xie, Tong Wu, 2020, IJCAI.

Learning local Gaussian process regression for image super-resolution

Jianping Fan, Yuan Xie, Jianmin Li, 2015, Neurocomputing.

Cascaded Degradation-Aware Blind Super-Resolution

Yanyun Qu, Dongxiao Zhang, Ding Zhang, 2023, Sensors.

Learn from Concepts: Towards the Purified Memory for Few-shot Learning

Lizhuang Ma, Yanyun Qu, Shaohui Lin, 2021, IJCAI.

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results

Radu Timofte, Zhiwei Xiong, Jae-Seok Choi, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Deformable Feature Pyramid Network for Ship Recognition

Yichen Zhang, Yanyun Qu, Cuihua Li, 2018, PCM.

Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling

J. Liu, Yanyun Qu, Xin Tan, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Scale Adaptive Dehazing Network

Yanyun Qu, Ming Hong, Shuxin Chen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results pdf

Wei Wei, Radu Timofte, Nan Nan, 2020, ECCV Workshops.

Scene Text Detection with Text Statistical Characteristics and Deep Neural Network

Li Lin, Yanyun Qu, Xiaodong Yang, 2017, CCCV.

Joint regularization and low-rank fusion for atmospheric turbulence removal

Yanyun Qu, Yuan Xie, Hanzi Wang, 2021, Neural Computing and Applications.

A Visual Attention Model for Dynamic Scenes Based on Two-Pathway Processing in Brain

Changle Zhou, Yanyun Qu, Jiawei Chen, 2008, 2008 Fourth International Conference on Natural Computation.

Joint Dictionary Learning via Split Bregman Iteration for Large-Scale Image Classification

Yan Zhang, Yanyun Qu, Hanqian Li, 2017, PCM.

Hierarchical Learning for Large-Scale Image Classification via CNN and Maximum Confidence Path

Jianping Fan, Hanzi Wang, Chang Lu, 2015, PCM.

Text Localization with Hierarchical Multiple Feature Learning

Li Lin, Hanzi Wang, Yang Wu, 2015, PCM.

Sample-Aware Knowledge Distillation for Long-Tailed Learning

Yanyun Qu, Hongyi Huang, Shanshan Zheng, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification

Yanyun Qu, Mingang Chen, Zhizhong Zhang, 2022, ECCV.

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Stan Z. Li, Zhen Lei, Dong Yi, 2019, IEEE Transactions on Image Processing.

Instance-Level Landmark Labeling via Multi-layer Superpixels

Yi Xie, Han Liu, Yanyun Qu, 2012, PCM.

Weakly supervised landmark labeling in searched data

Cheng Chen, Zejian Yuan, Yanyun Qu, 2010, ICIMCS '10.

An automatic image-text alignment method for large-scale web image retrieval

Jianping Fan, Jinye Peng, Baopeng Zhang, 2016, Multimedia Tools and Applications.

BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation

Yanyun Qu, Yun Fu, Xu Ma, 2023, ArXiv.

VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning

Yanyun Qu, Zhongchao Shi, Xiaofan Li, 2023, IJCAI.

A new implementation of EN method

Yanyun Qu, Weiguo Gao, Jungong Xue, 1999, Appl. Math. Comput..

Self-boosting for Feature Distillation

Yanyun Qu, Yulong Pei, Junping Zhang, 2021, IJCAI.

Few-shot learning with deformable convolution for multi-scale lesion detection in mammography.

Yanyun Qu, Shaoyi Du, Ce Li, 2020, Medical physics.

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yanyun Qu, Zhizhong Zhang, Yuan Xie, 2023, AAAI.

Discriminative subspace learning with sparse representation view-based model for robust visual tracking

Yuan Xie, Yanyun Qu, Wensheng Zhang, 2014, Pattern Recognit..

Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation

Yanyun Qu, Yuan Xie, Yachao Zhang, 2023, ACM Multimedia.

Positive-Negative Receptive Field Reasoning for Omni-Supervised 3D Segmentation

Yanyun Qu, Lizhuang Ma, Jiacheng Xu, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency

Yanyun Qu, Zongze Wu, Cong Wang, 2023, AAAI.

Self-supervised Exclusive Learning for 3D Segmentation with Cross-Modal Unsupervised Domain Adaptation

Yanyun Qu, Cuihua Li, Zhizhong Zhang, 2022, ACM Multimedia.

Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation

Yanyun Qu, Cuihua Li, Zhizhong Zhang, 2022, ACM Multimedia.

COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction

Yanyun Qu, Lizhuang Ma, Zhizhong Zhang, 2023, ArXiv.

Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification

Yanyun Qu, Zhizhong Zhang, Yuan Xie, 2022 .

Single-image super-resolution via joint statistic models-guided deep auto-encoder network

Rong Chen, Yuan Xie, Yanyun Qu, 2018, Neural Computing and Applications.

Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification

Yuan Xie, Yanyun Qu, Cuihua Li, 2021, Remote. Sens..

CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data

Yanyun Qu, Yuan Xie, Shanshan Zheng, 2023, ArXiv.

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

D. Tao, Yanyun Qu, Yuan Xie, 2020, IEEE Transactions on Cybernetics.

Hardware-friendly Scalable Image Super Resolution with Progressive Structured Sparsity

Yanyun Qu, Yuan Xie, Jianping Fan, 2023, Proceedings of the 31st ACM International Conference on Multimedia.

Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis

Xiaotong Luo, Ming Hong, Yanyun Qu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Boosting Lightweight Single Image Super-resolution via Joint-distillation

Yanyun Qu, Xiaotong Luo, Qiuyuan Liang, 2021, ACM Multimedia.

Perturbed Progressive Learning for Semisupervised Defect Segmentation

Yanyun Qu, Yuan Xie, Yachao Zhang, 2023, IEEE Transactions on Neural Networks and Learning Systems.

Online multiple instance gradient feature selection for robust visual tracking

Yuan Xie, Yanyun Qu, Cuihua Li, 2012, Pattern Recognit. Lett..

Class-Specified Segmentation with Multi-scale Superpixels

Hanzi Wang, Yang Wu, Han Liu, 2012, ACCV Workshops.

Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images

Yun Fu, Yanyun Qu, Kai Li, 2021, ACM Multimedia.