Songhe Feng

发表

Color Constancy Using Achromatic Surface

De Xu, Bing Li, Weihua Xiong, 2010 .

Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization

Jiebo Luo, Tao Wang, Congyan Lang, 2017, IEEE Transactions on Multimedia.

Structure Diversity-induced Anchor Graph Fusion for Multi-view Clustering

Songhe Feng, Xun Lu, 2022, ACM Transactions on Knowledge Discovery from Data.

Label driven latent subspace learning for multi-view multi-label classification

W. Liu, Songhe Feng, Jiazheng Yuan, 2022, Applied Intelligence.

Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification

Songhe Feng, Congyan Lang, Yi Jin, 2022, ACM Transactions on Knowledge Discovery from Data.

Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning

Songhe Feng, Gengyu Lyu, Yanan Wu, 2022, AAAI.

ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-Based Multi-View Clustering

Songhe Feng, Zhibin Gu, Gengyu Lyu, 2022, ACM Transactions on Knowledge Discovery from Data.

Diversity-induced consensus and structured graph learning for multi-view clustering

Songhe Feng, Zhibin Gu, Hongzhe Liu, 2022, Applied Intelligence.

Redundant Label Learning via Subspace Representation and Global Disambiguation

Songhe Feng, Congyan Lang, Wei Liu, 2022, ACM Transactions on Intelligent Systems and Technology.

Partial multi-label learning with noisy side information

Songhe Feng, Guojun Dai, Gengyu Lyu, 2020, Knowledge and Information Systems.

Incomplete multi-view partial multi-label learning

Songhe Feng, Xinyuan Liu, Lijuan Sun, 2021, Applied Intelligence.

Graph regularized low-rank feature mapping for multi-label learning with application to image annotation

Songhe Feng, Congyan Lang, 2017, Multidimensional Systems and Signal Processing.

Dwarfism computer-aided diagnosis algorithm based on multimodal pyradiomics

Yidong Li, Yi Jin, Songhe Feng, 2021, Inf. Fusion.

A unified supervised codebook learning framework for classification

Bingbing Ni, Shuicheng Yan, Congyan Lang, 2012, Neurocomputing.

Semi-supervised dual low-rank feature mapping for multi-label image annotation

Xiaoying Wang, Congyan Lang, Songhe Feng, 2018, Multimedia Tools and Applications.

Graph regularized low-rank feature learning for robust multi-label image annotation

Congyan Lang, Songhe Feng, Jingwei Li, 2016, 2016 IEEE 13th International Conference on Signal Processing (ICSP).

Learning to Rank Image Tags With Limited Training Examples

Rong Jin, Songhe Feng, Zheyun Feng, 2015, IEEE Transactions on Image Processing.

Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation

De Xu, Songhe Feng, De Xu, 2010, Expert Syst. Appl..

Dual Attention Message Passing Model for Scene Graph Generation

Songhe Feng, Gaoyun An, Zhendong Li, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Recurrent convolutional network for video-based smoke detection

Songhe Feng, Congyan Lang, Zun Li, 2017, Multimedia Tools and Applications.

Two Important Action Scenes Detection Based on Probability Neural Networks

De Xu, Songhe Feng, Yuliang Geng, 2006, ISNN.

Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection

Shuicheng Yan, Congyan Lang, Jingdong Wang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Sample specific late fusion for saliency detection

Jie Sun, Congyan Lang, Songhe Feng, 2013, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS).

Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-view Clustering

Songhe Feng, Zhibin Gu, Songhe Feng, 2022 .

Scene Categorization with Classified Codebook Model

De Xu, Songhe Feng, Shuoyan Liu, 2011, IEICE Trans. Inf. Syst..

Contextualizing Tag Ranking and Saliency Detection for Social Images

Wen Wang, Songhe Feng, Congyan Lang, 2013, MMM.

Weakly-supervised multi-label learning with noisy features and incomplete labels

Lijuan Sun, Songhe Feng, Gengyu Lyu, 2020, Neurocomputing.

Partial label learning via low-rank representation and label propagation

Guojun Dai, Baifan Chen, Songhe Feng, 2020, Soft Comput..

Graph-based visual odometry for VSLAM

Tao Wang, Congyan Lang, Songhe Feng, 2018, Ind. Robot.

Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion

Songhe Feng, Congyan Lang, Tao Wang, 2022, ACM Trans. Intell. Syst. Technol..

Dense Attentive Feature Enhancement for Salient Object Detection

Congyan Lang, Qibin Hou, Jian Zhao, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Graph Matching for Partial Label Learning

Songhe Feng, Gengyu Lyu, Yanan Wu, 2022, IJCAI.

Two Birds With One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning

Baifan Chen, Songhe Feng, Honglin Quan, 2017, IEEE Access.

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

Yang Wang, Songhe Feng, Yang Wang, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Mood recognition based on natural scenes for locomotive driver

Jing Wang, Songhe Feng, Shuoyan Liu, 2012, 2012 IEEE 11th International Conference on Signal Processing.

Emotion categorization using affective-pLSA model

De Xu, Songhe Feng, Shuoyan Liu, 2010 .

Scaring or pleasing: exploit emotional impact of an image

Bing Li, Weiming Hu, Songhe Feng, 2012, ACM Multimedia.

Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering

Songhe Feng, Xun Lu, 2022, ACM Trans. Knowl. Discov. Data.

Fine-Grained Facial Expression Recognition in the Wild

Yidong Li, Songhe Feng, Congyan Lang, 2021, IEEE Transactions on Information Forensics and Security.

Redundant Label Learning via Subspace Representation and Global Disambiguation

Songhe Feng, Congyan Lang, Wei Liu, 2022, ACM Trans. Intell. Syst. Technol..

Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification

Songhe Feng, Congyan Lang, Yi Jin, 2022, ACM Trans. Knowl. Discov. Data.

ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering

Songhe Feng, Zhibin Gu, Gengyu Lyu, 2022, ACM Trans. Knowl. Discov. Data.

A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning

Songhe Feng, Wei Liu, Zhibin Gu, 2023, IEEE Access.

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

Tao Wang, Songhe Feng, Congyan Lang, 2020, 2020 15th IEEE International Conference on Signal Processing (ICSP).

Constrained Confidence Matching for Planar Object Tracking

Yidong Li, Songhe Feng, Haibin Ling, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving

Songhe Feng, Yanan Wu, Zizhang Wu, 2021, IET Comput. Vis..

Graph Matching with Adaptive and Branching Path Following

Congyan Lang, Haibin Ling, Songhe Feng, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network

Yidong Li, Congyan Lang, Songhe Feng, 2021, J. Vis. Commun. Image Represent..

Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering

Songhe Feng, Zhibin Gu, 2023, ACM Trans. Knowl. Discov. Data.

Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network

Congyan Lang, Tao Wang, Min Wang, 2021, ACM Trans. Intell. Syst. Technol..

End-to-End Text-to-Image Synthesis with Spatial Constrains

Songhe Feng, Congyan Lang, Tao Wang, 2020, ACM Trans. Intell. Syst. Technol..

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning

Songhe Feng, Z. Yang, Shaokai Wang, 2022, ACM Trans. Intell. Syst. Technol..

Partial label learning with noisy side information

Songhe Feng, Shaokai Wang, Gengyu Lyu, 2022, Applied Intelligence.

HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization

Guojun Dai, Yidong Li, Congyan Lang, 2019, ACM Trans. Intell. Syst. Technol..

GM-PLL: Graph Matching Based Partial Label Learning

Tao Wang, Yidong Li, Congyan Lang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Partial label learning via low-rank representation and label propagation

Congyan Lang, Lijuan Sun, Songhe Feng, 2018, Soft Computing.

A Self-Paced Regularization Framework for Partial-Label Learning pdf

Congyan Lang, Songhe Feng, Gengyu Lyu, 2016, IEEE Transactions on Cybernetics.

Partial Label Learning via Subspace Representation and Global Disambiguation

Songhe Feng, Yue Sun, Gengyu Lyu, 2020, ECML/PKDD.

Partial Label Learning via Self-Paced Curriculum Strategy

Songhe Feng, Yidong Li, Yi Jin, 2020, ECML/PKDD.

Subgraph and object context-masked network for scene graph generation

Songhe Feng, Zhenxing Zheng, Zhendong Li, 2020, IET Comput. Vis..

GLAN: A Graph-based Linear Assignment Network

Congyan Lang, Yidong Li, Tao Wang, 2022, ArXiv.

HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification

Tao Wang, A. Bors, Songhe Feng, 2020, ICPR Workshops.

Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition

Bin Chen, Congyan Lang, Xiao-Tong Yuan, 2011, 2011 Sixth International Conference on Image and Graphics.

Noisy label tolerance: A new perspective of Partial Multi-Label Learning

Yidong Li, Songhe Feng, Gengyu Lyu, 2021, Inf. Sci..

Partial Multi-Label Learning by Low-Rank and Sparse Decomposition

Tao Wang, Congyan Lang, Lijuan Sun, 2019, AAAI.

Graph regularized low-rank feature mapping for multi-label learning with application to image annotation

Congyan Lang, Songhe Feng, Songhe Feng, 2018, Multidimens. Syst. Signal Process..

Global-Local Label Correlation for Partial Multi-Label Learning

Congyan Lang, Songhe Feng, Gengyu Lyu, 2022, IEEE Transactions on Multimedia.

Incomplete multi-view partial multi-label learning

Songhe Feng, Xinyuan Liu, Lijuan Sun, 2021, Appl. Intell..

Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism

Yidong Li, Songhe Feng, Gengyu Lyu, 2020, KDD.

Deep Partial Multi-Label Learning with Graph Disambiguation

Songhe Feng, Haobo Wang, Tianlei Hu, 2023, arXiv.org.

Partial Multi-Label Learning via Multi-Subspace Representation

Ziwei Li, Songhe Feng, Gengyu Lyu, 2020, IJCAI.

Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning

Songhe Feng, Congyan Lang, Yidong Li, 2021, IEEE Transactions on Cybernetics.

Partial multi-label learning with noisy side information

Songhe Feng, Gengyu Lyu, Hua Zhang, 2020, Knowl. Inf. Syst..

Joint Original Space and Latent Space for Multi-view Spectral Clustering

Songhe Feng, Zhibin Gu, Ruiting Hu, 2022, International Symposium on Parallel Architectures, Algorithms and Programming.

Robust Object Tracking Based on Temporal and Spatial Deep Networks

Qiang Wang, Congyan Lang, Junliang Xing, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

From sample selection to model update: A robust online visual tracking algorithm against drifting

Feng Liu, Tao Wang, Congyan Lang, 2016, Neurocomputing.

Image Tag Completion by Noisy Matrix Recovery

Rong Jin, Anil K. Jain, Songhe Feng, 2014, ECCV.

Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection

Shuicheng Yan, Jiashi Feng, Jingdong Wang, 2016, IEEE Trans. Neural Netw. Learning Syst..

Saliency ranker: A new salient object detection method

Tao Wang, Congyan Lang, Songhe Feng, 2018, J. Vis. Commun. Image Represent..

A general method for sensitive identification detection in the terrorist video

Chen Zhang, Congyan Lang, Songhe Feng, 2015, ICIMCS '15.

Region Contextual Visual Words for scene categorization

De Xu, Songhe Feng, Shuoyan Liu, 2011, Expert Syst. Appl..

Discriminating Semantic Visual Words for Scene Classification

De Xu, Songhe Feng, Shuoyan Liu, 2010, IEICE Trans. Inf. Syst..

Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*

Tao Wang, Congyan Lang, Songhe Feng, 2018, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM).

Deformable Surface Tracking by Graph Matching

Congyan Lang, Haibin Ling, Tao Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization

Songhe Feng, Congyan Lang, Yidong Li, 2022, Pattern Recognit. Lett..

A Universal Model for Cross Modality Mapping by Relational Reasoning pdf

Yidong Li, Jun Wu, Congyan Lang, 2021, ArXiv.

Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification pdf

Congyan Lang, Junliang Xing, Songhe Feng, 2019, 1905.10529.

Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method

Yidong Li, Congyan Lang, Zhongyi Li, 2019, World Wide Web.

Illumination-independent descriptors using color moment invariants

De Xu, Bing Li, Songhe Feng, 2009 .

Ranking-Based Color Constancy With Limited Training Samples

S. Maybank, Weihua Xiong, Songhe Feng, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Task Adaptive Modeling for Few-shot Action Recognition

Songhe Feng, Yidong Li, Yi Jin, 2022, IEEE International Workshop on Multimedia Signal Processing.

Pedestrian attribute recognition based on attribute correlation

Songhe Feng, Congyan Lang, Zun Li, 2022, Multimedia Systems.

Cross-Modality Transformer With Modality Mining for Visible-Infrared Person Re-Identification

Songhe Feng, Yidong Li, Yi Jin, 2021, IEEE Transactions on Multimedia.

Extreme Learning Machine based exposure fusion for displaying HDR scenes

Jinhua Wang, Songhe Feng, Bing Shi, 2012, 2012 IEEE 11th International Conference on Signal Processing.

Co-saliency Detection with Graph Matching

Tao Wang, Yidong Li, Congyan Lang, 2019, ACM Trans. Intell. Syst. Technol..

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning

Yang Wang, Songhe Feng, Yi Jin, 2023, AAAI.

Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification

Songhe Feng, Congyan Lang, Yidong Li, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification

Songhe Feng, Congyan Lang, Tao Wang, 2023, IEEE Transactions on Multimedia.

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

Songhe Feng, Zhixiang Chi, Yanan Wu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Integrating Diversity into Neural-Network-Based Face Deidentification

Hairong Dong, Yidong Li, Songhe Feng, 2018, 2018 37th Chinese Control Conference (CCC).

Attention-driven salient edge(s) and region(s) extraction with application to CBIR

De Xu, Songhe Feng, Xu Yang, 2010, Signal Process..