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2020 – today
- 2024
[j82]Zhibin Gu, Songhe Feng
, Jiazheng Yuan, Ximing Li:
Consensus representation-driven structured graph learning for multi-view clustering. Appl. Intell. 54(17-18): 8545-8562 (2024)- [j81]Baishun Zhou, Jintian Ji, Zhibin Gu, Zihao Zhou, Gangyi Ding, Songhe Feng:
One-step graph-based incomplete multi-view clustering. Multim. Syst. 30(1): 32 (2024) - [j80]He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li:
GLAN: A graph-based linear assignment network. Pattern Recognit. 155: 110694 (2024) - [j79]Yanan Wu, Songhe Feng, Gongpei Zhao, Yi Jin:
Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification. IEEE Trans. Circuits Syst. Video Technol. 34(2): 924-937 (2024) - [j78]Qihao Zhao, Fan Zhang, Wei Hu, Songhe Feng, Jun Liu:
OHD: An Online Category-Aware Framework for Learning With Noisy Labels Under Long-Tailed Distribution. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3806-3818 (2024) - [j77]Tengfei Liang, Yi Jin, Wu Liu, Tao Wang, Songhe Feng, Yidong Li:
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7683-7698 (2024) - [j76]Lili Wei, Zhenxue Wang, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Yidong Li:
Linkage-Based Object Re-Identification via Graph Learning. IEEE Trans. Intell. Transp. Syst. 25(10): 13040-13050 (2024) - [j75]Zhibin Gu, Songhe Feng, Zhendong Li, Jiazheng Yuan, Jun Liu:
NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering. ACM Trans. Knowl. Discov. Data 18(6): 151:1-151:23 (2024) - [j74]Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng:
Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8456-8469 (2024) - [c65]Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan:
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI 2024: 15520-15527 - [c64]Tingting Wu, Songhe Feng, Jiazheng Yuan:
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. AAAI 2024: 15952-15960 - [c63]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. AAAI 2024: 15961-15969 - [c62]Zhibin Gu, Zhendong Li, Songhe Feng:
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization. ICML 2024 - [c61]Yang Zhang, Songhe Feng, Jiazheng Yuan:
Continual Compositional Zero-Shot Learning. IJCAI 2024: 1724-1732 - [c60]Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng:
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI 2024: 4715-4723 - [c59]Jing Wang, Songhe Feng:
Contrastive and View-Interaction Structure Learning for Multi-view Clustering. IJCAI 2024: 5055-5063 - [c58]Zhibin Gu, Zhendong Li, Songhe Feng:
Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. KDD 2024: 920-931 - [c57]Jintian Ji, Songhe Feng, Yidong Li:
Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. KDD 2024: 1246-1256 - 2023
- [j73]Jiazheng Yuan, Wei Liu, Zhibin Gu, Songhe Feng:
A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning. IEEE Access 11: 49205-49215 (2023) - [j72]Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng:
Label driven latent subspace learning for multi-view multi-label classification. Appl. Intell. 53(4): 3850-3863 (2023) - [j71]Zhibin Gu, Hongzhe Liu, Songhe Feng:
Diversity-induced consensus and structured graph learning for multi-view clustering. Appl. Intell. 53(10): 12237-12251 (2023) - [j70]Bing Li, Haina Qin, Weihua Xiong, Yangxi Li, Songhe Feng, Weiming Hu, Stephen J. Maybank:
Ranking-Based Color Constancy With Limited Training Samples. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12304-12320 (2023) - [j69]Yanan Wu, Songhe Feng, Yang Wang:
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6788-6803 (2023) - [j68]Gengyu Lyu, Songhe Feng, Yi Jin, Tao Wang, Congyan Lang, Yidong Li:
Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. IEEE Trans. Cybern. 53(3): 1618-1628 (2023) - [j67]Gengyu Lyu, Songhe Feng, Wei Liu, Shuoyan Liu, Congyan Lang:
Redundant Label Learning via Subspace Representation and Global Disambiguation. ACM Trans. Intell. Syst. Technol. 14(1): 15:1-15:19 (2023) - [j66]Gengyu Lyu, Songhe Feng, Shaokai Wang, Zhen Yang:
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning. ACM Trans. Intell. Syst. Technol. 14(2): 25:1-25:16 (2023) - [j65]Zhibin Gu, Songhe Feng:
Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering. ACM Trans. Knowl. Discov. Data 17(1): 7:1-7:21 (2023) - [j64]Xun Lu, Songhe Feng:
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering. ACM Trans. Knowl. Discov. Data 17(2): 17:1-17:18 (2023) - [j63]Xun Lu, Songhe Feng, Gengyu Lyu, Yi Jin, Congyan Lang:
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification. ACM Trans. Knowl. Discov. Data 17(2): 19:1-19:21 (2023) - [j62]Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu:
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering. ACM Trans. Knowl. Discov. Data 17(5): 70:1-70:23 (2023) - [j61]Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei:
Clicking Matters: Towards Interactive Human Parsing. IEEE Trans. Multim. 25: 3190-3203 (2023) - [j60]Xiang Deng, Songhe Feng, Gengyu Lyu, Tao Wang, Congyan Lang:
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven Multi-Label Image Classification. IEEE Trans. Multim. 25: 4013-4025 (2023) - [j59]Zheming Xu, Lili Wei, Congyan Lang, Songhe Feng, Tao Wang, Adrian G. Bors, Hongzhe Liu:
SSR-Net: A Spatial Structural Relation Network for Vehicle Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 19(6): 216:1-216:22 (2023) - [c56]Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang:
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. AAAI 2023: 10408-10416 - [c55]Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng:
MetaGCD: Learning to Continually Learn in Generalized Category Discovery. ICCV 2023: 1655-1665 - [c54]Jintian Ji, Songhe Feng:
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization. ICCV 2023: 19286-19295 - [c53]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. IJCAI 2023: 4308-4316 - [c52]Jintian Ji, Songhe Feng:
High-order Complementarity Induced Fast Multi-View Clustering with Enhanced Tensor Rank Minimization. ACM Multimedia 2023: 328-336 - [c51]Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu:
Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. ACM Multimedia 2023: 2994-3002 - [c50]Yang Zhang, Songhe Feng:
Enhancing Domain-Invariant Parts for Generalized Zero-Shot Learning. ACM Multimedia 2023: 6283-6291 - [i16]Yanan Wu, Songhe Feng, Yang Wang:
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition. CoRR abs/2304.11275 (2023) - [i15]Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. CoRR abs/2305.05882 (2023) - [i14]Tengfei Liang, Yi Jin, Wu Liu, Tao Wang, Songhe Feng, Yidong Li:
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification. CoRR abs/2307.08316 (2023) - [i13]Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng:
MetaGCD: Learning to Continually Learn in Generalized Category Discovery. CoRR abs/2308.11063 (2023) - [i12]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. CoRR abs/2312.10165 (2023) - 2022
- [j58]Jianguo Zhao, Gengyu Lyu, Songhe Feng:
Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering. Appl. Intell. 52(1): 982-993 (2022) - [j57]Xinyuan Liu, Lijuan Sun, Songhe Feng:
Incomplete multi-view partial multi-label learning. Appl. Intell. 52(3): 3289-3302 (2022) - [j56]Shaokai Wang, Mingxuan Xia, Zilong Wang, Gengyu Lyu, Songhe Feng:
Partial label learning with noisy side information. Appl. Intell. 52(11): 12382-12396 (2022) - [j55]Shi Qiu, Yi Jin, Songhe Feng, Tao Zhou, Yidong Li:
Dwarfism computer-aided diagnosis algorithm based on multimodal pyradiomics. Inf. Fusion 80: 137-145 (2022) - [j54]Ruijie Zhao, Congyan Lang, Zun Li, Liqian Liang, Lili Wei, Songhe Feng, Tao Wang:
Pedestrian attribute recognition based on attribute correlation. Multim. Syst. 28(3): 1069-1081 (2022) - [j53]XiuTing You, He Liu, Tao Wang, Songhe Feng, Congyan Lang:
Object detection by crossing relational reasoning based on graph neural network. Mach. Vis. Appl. 33(1): 1 (2022) - [j52]Yichen Zhu, Lili Wei, Congyan Lang, Siyu Li, Songhe Feng, Yidong Li:
Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization. Pattern Recognit. Lett. 164: 67-73 (2022) - [j51]Zun Li, Congyan Lang, Liqian Liang, Jian Zhao, Songhe Feng, Qibin Hou, Jiashi Feng:
Dense Attentive Feature Enhancement for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8128-8141 (2022) - [j50]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang:
A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Trans. Cybern. 52(2): 899-911 (2022) - [j49]Lili Wei, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Shidi Chen:
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion. ACM Trans. Intell. Syst. Technol. 13(3): 46:1-46:20 (2022) - [j48]Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang:
Global-Local Label Correlation for Partial Multi-Label Learning. IEEE Trans. Multim. 24: 581-593 (2022) - [j47]Liqian Liang, Congyan Lang, Zun Li, Jian Zhao, Tao Wang, Songhe Feng:
Seeing Crucial Parts: Vehicle Model Verification via a Discriminative Representation Model. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 28:1-28:22 (2022) - [c49]Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng:
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. AAAI 2022: 7647-7654 - [c48]Gengyu Lyu, Yanan Wu, Songhe Feng:
Deep Graph Matching for Partial Label Learning. IJCAI 2022: 3306-3312 - [c47]Tengfei Liang, Yi Jin, Wu Liu, Songhe Feng, Tao Wang, Yidong Li:
Keypoint-Guided Modality-Invariant Discriminative Learning for Visible-Infrared Person Re-identification. ACM Multimedia 2022: 3965-3973 - [c46]Jiayi Wang, Yi Jin, Songhe Feng, Yidong Li:
Task Adaptive Modeling for Few-shot Action Recognition. MMSP 2022: 1-6 - [c45]Ruiting Hu, Zhibin Gu, Songhe Feng:
Joint Original Space and Latent Space for Multi-view Spectral Clustering. PAAP 2022: 1-6 - [c44]Wei Liu, Songhe Feng, Hui Tian:
Graph-based Multi-view Partial Multi-label Learning. PAAP 2022: 1-5 - [i11]He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling:
Deep Probabilistic Graph Matching. CoRR abs/2201.01603 (2022) - [i10]He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li:
GLAN: A Graph-based Linear Assignment Network. CoRR abs/2201.02057 (2022) - 2021
- [j46]Lijuan Sun, Gengyu Lyu, Songhe Feng, Xiankai Huang:
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels. Appl. Intell. 51(3): 1552-1564 (2021) - [j45]Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang:
Class-Balanced Text to Image Synthesis With Attentive Generative Adversarial Network. IEEE Multim. 28(3): 21-31 (2021) - [j44]Yanan Wu, Songhe Feng, Xiankai Huang, Zizhang Wu:
L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving. IET Comput. Vis. 15(1): 36-46 (2021) - [j43]Gengyu Lyu, Songhe Feng, Yidong Li:
Noisy label tolerance: A new perspective of Partial Multi-Label Learning. Inf. Sci. 543: 454-466 (2021) - [j42]Min Wang, Congyan Lang, Songhe Feng, Tao Wang, Yi Jin, Yidong Li:
Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network. J. Vis. Commun. Image Represent. 74: 102955 (2021) - [j41]Lijuan Sun, Songhe Feng, Gengyu Lyu, Hua Zhang, Guojun Dai:
Partial multi-label learning with noisy side information. Knowl. Inf. Syst. 63(2): 541-564 (2021) - [j40]Liqian Liang, Congyan Lang, Yidong Li, Songhe Feng, Jian Zhao:
Fine-Grained Facial Expression Recognition in the Wild. IEEE Trans. Inf. Forensics Secur. 16: 482-494 (2021) - [j39]Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao:
Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network. ACM Trans. Intell. Syst. Technol. 12(5): 60:1-60:18 (2021) - [j38]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching Based Partial Label Learning. IEEE Trans. Knowl. Data Eng. 33(2): 521-535 (2021) - [c43]Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. IJCAI 2021: 1179-1185 - [c42]Tong Zhou, Songhe Feng:
Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification. PRCV (2) 2021: 449-461 - [i9]Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li:
A Universal Model for Cross Modality Mapping by Relational Reasoning. CoRR abs/2102.13360 (2021) - [i8]Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. CoRR abs/2104.14762 (2021) - [i7]Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li:
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification. CoRR abs/2110.08994 (2021) - [i6]Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei:
Clicking Matters: Towards Interactive Human Parsing. CoRR abs/2111.06162 (2021) - 2020
- [j37]ZhenXing Zheng, Zhendong Li, Gaoyun An, Songhe Feng:
Subgraph and object context-masked network for scene graph generation. IET Comput. Vis. 14(7): 546-553 (2020) - [j36]Lijuan Sun, Ping Ye, Gengyu Lyu, Songhe Feng, Guojun Dai, Hua Zhang:
Weakly-supervised multi-label learning with noisy features and incomplete labels. Neurocomputing 413: 61-71 (2020) - [j35]Honglin Quan, Songhe Feng, Congyan Lang, Baifan Chen:
Improving person re-identification via attribute-identity representation and visual attention mechanism. Multim. Tools Appl. 79(11-12): 7259-7278 (2020) - [j34]Gengyu Lyu, Songhe Feng, Wenying Huang, Guojun Dai, Hua Zhang, Baifan Chen:
Partial label learning via low-rank representation and label propagation. Soft Comput. 24(7): 5165-5176 (2020) - [j33]Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang:
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Trans. Intell. Syst. Technol. 11(3): 34:1-34:19 (2020) - [j32]Min Wang, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, Yutong Gao:
End-to-End Text-to-Image Synthesis with Spatial Constrains. ACM Trans. Intell. Syst. Technol. 11(4): 47:1-47:19 (2020) - [j31]Zhongyi Li, Yi Jin, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang:
Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method. World Wide Web 23(3): 1907-1923 (2020) - [c41]Min Wang, Congyan Lang, Liqian Liang, Gengyu Lyu, Songhe Feng, Tao Wang:
Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. ICME 2020: 1-6 - [c40]Zheming Xu, Lili Wei, Congyan Lang, Songhe Feng, Tao Wang, Adrian G. Bors:
HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification. ICPR Workshops (5) 2020: 356-364 - [c39]Ziwei Li, Gengyu Lyu, Songhe Feng:
Partial Multi-Label Learning via Multi-Subspace Representation. IJCAI 2020: 2612-2618 - [c38]Gengyu Lyu, Songhe Feng, Yidong Li:
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. KDD 2020: 105-113 - [c37]Yue Sun, Gengyu Lyu, Songhe Feng:
Partial Label Learning via Subspace Representation and Global Disambiguation. ECML/PKDD (2) 2020: 439-454 - [c36]Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li:
Partial Label Learning via Self-Paced Curriculum Strategy. ECML/PKDD (2) 2020: 489-505 - [i5]Tengfei Liang, Yi Jin, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang:
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising. CoRR abs/2011.00139 (2020)
2010 – 2019
- 2019
- [j30]Yanan Dong, Congyan Lang, Songhe Feng:
General structured sparse learning for human facial age estimation. Multim. Syst. 25(1): 49-57 (2019) - [j29]Mengxia Yin, Congyan Lang, Zun Li, Songhe Feng, Tao Wang:
Recurrent convolutional network for video-based smoke detection. Multim. Tools Appl. 78(1): 237-256 (2019) - [j28]Xiaoying Wang, Songhe Feng, Congyan Lang:
Semi-supervised dual low-rank feature mapping for multi-label image annotation. Multim. Tools Appl. 78(10): 13149-13168 (2019) - [j27]Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang, Songhe Feng:
Co-saliency Detection with Graph Matching. ACM Trans. Intell. Syst. Technol. 10(3): 22:1-22:22 (2019) - [c35]Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin:
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. AAAI 2019: 5016-5023 - [c34]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou:
Deformable Surface Tracking by Graph Matching. ICCV 2019: 901-910 - [c33]Chen Qian, Yi Jin, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang:
Deep Domain Adaptation for Asian Face Recognition via Ada-IBN. ICME Workshops 2019: 525-530 - [c32]Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang:
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) 2019: 269-280 - [c31]Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu:
MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI (2) 2019: 214-225 - [i4]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching based Partial Label Learning. CoRR abs/1901.03073 (2019) - [i3]Yangru Huang, Peixi Peng, Yi Jin, Junliang Xing, Congyan Lang, Songhe Feng:
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. CoRR abs/1905.10529 (2019) - [i2]Gengyu Lyu, Songhe Feng, Yi Jin, Guojun Dai, Congyan Lang, Yidong Li:
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. CoRR abs/1906.00551 (2019) - 2018
- [j26]Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin:
Graph-based visual odometry for VSLAM. Ind. Robot 45(5): 679-687 (2018) - [j25]Zun Li, Congyan Lang, Songhe Feng, Tao Wang:
Saliency ranker: A new salient object detection method. J. Vis. Commun. Image Represent. 50: 16-26 (2018) - [j24]Jun Zhou, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin:
A novel hypergraph matching algorithm based on tensor refining. J. Vis. Commun. Image Represent. 57: 69-75 (2018) - [j23]Songhe Feng, Congyan Lang:
Graph regularized low-rank feature mapping for multi-label learning with application to image annotation. Multidimens. Syst. Signal Process. 29(4): 1351-1372 (2018) - [j22]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng:
Graph Matching with Adaptive and Branching Path Following. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2853-2867 (2018) - [c30]Kunhong Yu, Congyan Lang, Songhe Feng, Tao Wang:
Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline. BigMM 2018: 1-5 - [c29]Dongwu Xu, Congyan Lang, Songhe Feng, Tao Wang:
A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification. ICIMCS 2018: 1:1-1:7 - [c28]Wenying Huang, Songhe Feng, Lijuan Sun, Congyan Lang:
Partial label learning via low rank representation and label propagation. ICIMCS 2018: 32:1-32:7 - [c27]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li:
Constrained Confidence Matching for Planar Object Tracking. ICRA 2018: 659-666 - [c26]Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang:
Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. VCIP 2018: 1-4 - [i1]Gengyu Lyu, Songhe Feng, Congyan Lang:
A Self-paced Regularization Framework for Partial-Label Learning. CoRR abs/1804.07759 (2018) - 2017
- [j21]Honglin Quan, Songhe Feng, Baifan Chen:
Two Birds With One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning. IEEE Access 5: 23519-23531 (2017) - [j20]Songhe Feng, Congyan Lang, Jiashi Feng, Tao Wang, Jiebo Luo:
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization. IEEE Trans. Multim. 19(1): 136-148 (2017) - [c25]Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin:
Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV 2017: 1153-1162 - 2016
- [j19]Zhu Teng, Tao Wang, Feng Liu, Dong-Joong Kang, Congyan Lang, Songhe Feng:
From sample selection to model update: A robust online visual tracking algorithm against drifting. Neurocomputing 173: 1221-1234 (2016) - [j18]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng:
Symmetry-aware graph matching. Pattern Recognit. 60: 657-668 (2016) - [j17]Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, Shuicheng Yan:
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1190-1200 (2016) - 2015
- [j16]Tao Wang, Hua Yang, Congyan Lang, Songhe Feng:
An error-tolerant approximate matching algorithm for labeled combinatorial maps. Neurocomputing 156: 211-220 (2015) - [j15]Yanzhang Wu, Hongzhe Liu, Songhe Feng, Jiazheng Yuan, Jingyi Zhang:
互联网社群图像标签排序研究进展 (Advances in Tag Ranking for Internet Social Images). 计算机科学 42(8): 22-27 (2015) - [j14]Songhe Feng, Zheyun Feng, Rong Jin:
Learning to Rank Image Tags With Limited Training Examples. IEEE Trans. Image Process. 24(4): 1223-1234 (2015) - [c24]Dongmei He, Congyan Lang, Songhe Feng, Xuetao Du, Chen Zhang:
Vehicle detection and classification based on convolutional neural network. ICIMCS 2015: 3:1-3:5 - [c23]Xiaoyuan Luo, Songhe Feng, Congyan Lang, Xuetao Du, Chen Zhang:
A general method for sensitive identification detection in the terrorist video. ICIMCS 2015: 21:1-21:5 - [c22]Chenjing Yan, Congyan Lang, Songhe Feng:
Facial Age Estimation Based on Structured Low-rank Representation. ACM Multimedia 2015: 1207-1210 - 2014
- [j13]Songhe Feng, Weihua Xiong, Bing Li, Congyan Lang, Xiankai Huang:
Hierarchical sparse representation based Multi-Instance Semi-Supervised Learning with application to image categorization. Signal Process. 94: 595-607 (2014) - [c21]Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain:
Image Tag Completion by Noisy Matrix Recovery. ECCV (7) 2014: 424-438 - [c20]Fangfang Chen, Congyan Lang, Songhe Feng, Zehai Song:
Depth Information Fused Salient Object Detection. ICIMCS 2014: 66 - [c19]Tao Wang, Congyan Lang, Songhe Feng:
Joint Tree of Combinatorial Maps. PAKDD Workshops 2014: 22-28 - 2013
- [j12]Congyan Lang, Songhe Feng, Bin Chen, Xiaotong Yuan:
Supervised sparse patch coding towards misalignment-robust face recognition. J. Vis. Commun. Image Represent. 24(2): 103-110 (2013) - [j11]Songhe Feng, Congyan Lang, Hongzhe Liu, Xiankai Huang:
Adaptive all-season image tag ranking by saliency-driven image pre-classification. J. Vis. Commun. Image Represent. 24(7): 1031-1039 (2013) - [c18]Jie Sun, Songhe Feng, Wen Wang, Congyan Lang:
Personalized image recommendation and retrieval via latent SVM based model. ICIMCS 2013: 223-226 - [c17]Wen Wang, Congyan Lang, Songhe Feng:
Contextualizing Tag Ranking and Saliency Detection for Social Images. MMM (2) 2013: 428-435 - [c16]Jun Wu, Yidong Li, Songhe Feng, Hong Shen:
A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD (2) 2013: 426-436 - [c15]Caixia Wang, Zehai Song, Songhe Feng, Congyan Lang, Shuicheng Yan:
A novel image tag saliency ranking algorithm based on sparse representation. VCIP 2013: 1-5 - [c14]Jie Sun, Congyan Lang, Songhe Feng:
Sample specific late fusion for saliency detection. WIAMIS 2013: 1-4 - 2012
- [j10]Congyan Lang, Songhe Feng, Bing Cheng, Bingbing Ni, Shuicheng Yan:
A unified supervised codebook learning framework for classification. Neurocomputing 77(1): 281-288 (2012) - [c13]Songhe Feng, Congyan Lang, Bing Li:
Towards relevance and saliency ranking of image tags. ACM Multimedia 2012: 917-920 - [c12]Bing Li, Songhe Feng, Weihua Xiong, Weiming Hu:
Scaring or pleasing: exploit emotional impact of an image. ACM Multimedia 2012: 1365-1366 - 2011
- [j9]Shuoyan Liu, De Xu, Songhe Feng:
Region Contextual Visual Words for scene categorization. Expert Syst. Appl. 38(9): 11591-11597 (2011) - [j8]Xu Yang, De Xu, Songhe Feng, Yingjun Tang, Shuoyan Liu:
Scene Categorization with Classified Codebook Model. IEICE Trans. Inf. Syst. 94-D(6): 1349-1352 (2011) - [j7]Hong Bao, Songhe Feng, De Xu, Shuoyan Liu:
A Novel Saliency-Based Graph Learning Framework with Application to CBIR. IEICE Trans. Inf. Syst. 94-D(6): 1353-1356 (2011) - [j6]Songhe Feng, Hong Bao, Congyan Lang, De Xu:
Combining visual attention model with multi-instance learning for tag ranking. Neurocomputing 74(17): 3619-3627 (2011) - [c11]Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan:
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. ICIG 2011: 599-604 - 2010
- [j5]Songhe Feng, De Xu:
Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation. Expert Syst. Appl. 37(1): 661-670 (2010) - [j4]Shuoyan Liu, De Xu, Songhe Feng:
Discriminating Semantic Visual Words for Scene Classification. IEICE Trans. Inf. Syst. 93-D(6): 1580-1588 (2010) - [j3]Songhe Feng, De Xu, Xu Yang:
Attention-driven salient edge(s) and region(s) extraction with application to CBIR. Signal Process. 90(1): 1-15 (2010) - [c10]Songhe Feng, Congyan Lang, De Xu:
Beyond tag relevance: integrating visual attention model and multi-instance learning for tag saliency ranking. CIVR 2010: 288-295
2000 – 2009
- 2009
- [c9]Congyan Lang, De Xu, Ning Li, Songhe Feng:
Salient region extraction based on Intensity Mapping for image retrieval. SMC 2009: 2177-2180 - 2008
- [j2]Songhe Feng, De Xu, Bing Li:
Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval. IEICE Trans. Inf. Syst. 91-D(8): 2203-2206 (2008) - 2007
- [j1]Bing Li, De Xu, Moon Ho Lee, Songhe Feng:
A Multi-Scale Adaptive Grey World Algorithm. IEICE Trans. Inf. Syst. 90-D(7): 1121-1124 (2007) - [c8]Bing Li, De Xu, Songhe Feng, Fangshi Wang:
Visual Perception Theory Guided Depth Motion Estimation. MMM (1) 2007: 198-206 - 2006
- [c7]Songhe Feng, De Xu:
Locating Salient Edges for CBIR Based on Visual Attention Model. ICNC (1) 2006: 261-264 - [c6]Yuliang Geng, De Xu, Jia-Zheng Yuan, Songhe Feng:
Two Important Action Scenes Detection Based on Probability Neural Networks. ISNN (2) 2006: 448-453 - [c5]Songhe Feng, De Xu, Xu Yang, Yuliang Geng:
A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval. ISNN (2) 2006: 589-594 - [c4]Bing Li, De Xu, Songhe Feng, Aimin Wu, Xu Yang:
Perceptual Depth Estimation from a Single 2D Image Based on Visual Perception Theory. PCM 2006: 88-95 - [c3]Yuliang Geng, De Xu, Songhe Feng:
Hierarchical Video Summarization Based on Video Structure and Highlight. SSPR/SPR 2006: 226-234 - [c2]Yuliang Geng, De Xu, Songhe Feng, Jia-Zheng Yuan:
A Robust and Hierarchical Approach for Camera Motion Classification. SSPR/SPR 2006: 340-348 - 2005
- [c1]Songhe Feng, De Xu, Xu Yang, Aimin Wu:
A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. ACIVS 2005: 235-242
Coauthor Index
[j80] [j76] [j74] [j68] [j67] [j63] [j61] [j60] [j59] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [i11] [i10] [j45] [j42] [j40] [j39] [j38] [i9] [i6] [j35] [j33] [j32] [j31] [c41] [c40] [i5] [j30] [j29] [j28] [j27] [c35] [c34] [c33] [c32] [c31] [i4] [i3] [i2] [j26] [j25] [j24] [j23] [j22] [c30] [c29] [c28] [c27] [c26] [i1] [j20] [c25] [j19] [j18] [j17] [j16] [c24] [c23] [c22] [j13] [c20] [c19] [j12] [j11] [c18] [c17] [c15] [c14] [j10] [c13] [j6] [c11] [c10] [c9]
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