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2020 – today
- 2024
[j75]He Liu, Tao Wang, Congyan Lang
, Songhe Feng, Yi Jin, Yidong Li:
GLAN: A graph-based linear assignment network. Pattern Recognit. 155: 110694 (2024)- [j74]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) - [j73]Yutong Gao, Congyan Lang, Fayao Liu, Yuanzhouhan Cao, Lijuan Sun, Yunchao Wei:
Dynamic Interaction Dilation for Interactive Human Parsing. IEEE Trans. Multim. 26: 178-189 (2024) - [j72]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) - [c48]Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo:
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. AAAI 2024: 5025-5033 - [c47]Shidi Chen, Lili Wei, Liqian Liang, Congyan Lang:
Joint Homophily and Heterophily Relational Knowledge Distillation for Efficient and Compact 3D Object Detection. ACM Multimedia 2024: 2127-2135 - [i18]Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling:
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment. CoRR abs/2406.02040 (2024) - [i17]Gongpei Zhao, Tao Wang, Yi Jin, Congyan Lang, Yidong Li, Haibin Ling:
GrassNet: State Space Model Meets Graph Neural Network. CoRR abs/2408.08583 (2024) - 2023
- [j71]Zun Li, Congyan Lang, Guanqin Li, Tao Wang, Yidong Li:
Depth guided feature selection for RGBD salient object detection. Neurocomputing 519: 57-68 (2023) - [j70]Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, Yidong Li:
Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges. IEEE Intell. Transp. Syst. Mag. 15(6): 131-151 (2023) - [j69]He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling:
Joint Graph Learning and Matching for Semantic Feature Correspondence. Pattern Recognit. 134: 109059 (2023) - [j68]Ziyi Chen, Yutong Gao, Congyan Lang, Lili Wei, Yidong Li, Hongzhe Liu, Fayao Liu:
Integrating topology beyond descriptions for zero-shot learning. Pattern Recognit. 143: 109738 (2023) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c46]Ziyu Feng, Zheming Xu, Haina Qin, Congyan Lang, Bing Li, Weihua Xiong:
SMM: Self-supervised Multi-Illumination Color Constancy Model with Multiple Pretext Tasks. ACM Multimedia 2023: 8653-8661 - [i16]Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, Yidong Li:
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges. CoRR abs/2301.06262 (2023) - [i15]Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin, Congyan Lang, Haibin Ling:
The Cascaded Forward Algorithm for Neural Network Training. CoRR abs/2303.09728 (2023) - 2022
- [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]Yuanzhouhan Cao, Hui Zhang, Yidong Li, Chao Ren, Congyan Lang:
CMAN: Leaning Global Structure Correlation for Monocular 3D Object Detection. IEEE Trans. Intell. Transp. Syst. 23(12): 24727-24737 (2022) - [j54]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) - [j53]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) - [i14]He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling:
Deep Probabilistic Graph Matching. CoRR abs/2201.01603 (2022) - [i13]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
- [j52]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) - [j51]Zun Li, Congyan Lang, Tao Wang, Yidong Li, Jiashi Feng:
Deep spatio-frequency saliency detection. Neurocomputing 453: 645-655 (2021) - [j50]Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin, Congyan Lang:
Entropy-aware self-training for graph convolutional networks. Neurocomputing 464: 394-407 (2021) - [j49]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) - [j48]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) - [j47]Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng:
Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 30: 4587-4598 (2021) - [j46]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) - [j45]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) - [j44]Jianshu Li, Jian Zhao, Congyan Lang, Yidong Li, Yunchao Wei, Guodong Guo, Terence Sim, Shuicheng Yan, Jiashi Feng:
Multi-human Parsing with a Graph-based Generative Adversarial Model. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 29:1-29:21 (2021) - [c45]Xu Wang, Yi Jin, Yigang Cen, Congyan Lang, Yidong Li:
PST-NET: Point Cloud Sampling via Point-Based Transformer. ICIG (3) 2021: 57-69 - [c44]Yajun Gao, Tengfei Liang, Yi Jin, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang:
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification. ACM Multimedia 2021: 5257-5265 - [i12]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) - [i11]He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling:
Joint Graph Learning and Matching for Semantic Feature Correspondence. CoRR abs/2109.00240 (2021) - [i10]Yajun Gao, Tengfei Liang, Yi Jin, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang:
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification. CoRR abs/2110.11264 (2021) - [i9]Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei:
Clicking Matters: Towards Interactive Human Parsing. CoRR abs/2111.06162 (2021) - 2020
- [j43]Qiuning Li, Yidong Li, Congyan Lang:
Salient object detection with side information. Sci. China Inf. Sci. 63(8): 1-3 (2020) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [c43]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 - [c42]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 - [i8]Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng:
Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR abs/2002.10864 (2020) - [i7]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
- [j38]Yanan Dong, Congyan Lang, Songhe Feng:
General structured sparse learning for human facial age estimation. Multim. Syst. 25(1): 49-57 (2019) - [j37]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) - [j36]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) - [j35]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) - [c41]Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin:
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. AAAI 2019: 5016-5023 - [c40]Juan Song, Yi Jin, Yidong Li, Congyan Lang:
Learning Structural Similarity with Evolutionary-GAN: A New Face De-identification Method. BESC 2019: 1-6 - [c39]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou:
Deformable Surface Tracking by Graph Matching. ICCV 2019: 901-910 - [c38]Yangru Huang, Yi Jin, Peixi Peng, Congyan Lang, Yidong Li:
Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network. ICIG (3) 2019: 517-528 - [c37]Xiaoliang Yang, Congyan Lang, Peixi Peng, Junliang Xing:
Vehicle Re-Identification by Multi-Grain Learni. ICIP 2019: 3113-3117 - [c36]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 - [c35]Tairan Zhang, Congyan Lang, Junliang Xing:
Realtime Human Segmentation in Video. MMM (2) 2019: 206-217 - [c34]Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang:
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. PAKDD (2) 2019: 269-280 - [c33]Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu:
MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI (2) 2019: 214-225 - [c32]Yan Sha, Congyan Lang, Peixi Peng, Junliang Xing, Danxia Li:
Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. VCIP 2019: 1-4 - [i6]Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching based Partial Label Learning. CoRR abs/1901.03073 (2019) - [i5]Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng:
Deep Reasoning with Multi-scale Context for Salient Object Detection. CoRR abs/1901.08362 (2019) - [i4]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) - [i3]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
- [j34]Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu, Nan Ma:
Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images. Appl. Comput. Intell. Soft Comput. 2018: 1014595:1-1014595:16 (2018) - [j33]Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin:
Graph-based visual odometry for VSLAM. Ind. Robot 45(5): 679-687 (2018) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [c31]Kunhong Yu, Congyan Lang, Songhe Feng, Tao Wang:
Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline. BigMM 2018: 1-5 - [c30]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 - [c29]Xingyan Guo, Yi Jin, Yidong Li, Junliang Xing, Congyan Lang:
Stabilizing video facial landmark detection and tracking via global and local filtering. ICIMCS 2018: 20:1-20:7 - [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]Zhipeng Ji, Congyan Lang, Kai Li, Junliang Xing:
Deep Age Estimation Model Stabilization from Images to Videos. ICPR 2018: 1420-1425 - [c26]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li:
Constrained Confidence Matching for Planar Object Tracking. ICRA 2018: 659-666 - [c25]Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang:
Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. VCIP 2018: 1-4 - [i2]Gengyu Lyu, Songhe Feng, Congyan Lang:
A Self-paced Regularization Framework for Partial-Label Learning. CoRR abs/1804.07759 (2018) - 2017
- [j28]Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu:
Salient object detection of social images based on semantic tag context. Int. J. Sens. Networks 23(4): 233-247 (2017) - [j27]Yi Jin, Jie Li, Congyan Lang, Qiuqi Ruan:
Multi-task clustering ELM for VIS-NIR cross-modal feature learning. Multidimens. Syst. Signal Process. 28(3): 905-920 (2017) - [j26]Ran Chen, Congyan Lang, Tao Wang:
Multiple path exploration for graph matching. Mach. Vis. Appl. 28(7): 695-703 (2017) - [j25]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) - [c24]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 - [i1]Jianshu Li, Jian Zhao, Yunchao Wei, Congyan Lang, Yidong Li, Jiashi Feng:
Towards Real World Human Parsing: Multiple-Human Parsing in the Wild. CoRR abs/1705.07206 (2017) - 2016
- [j24]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) - [j23]Yidong Li, Hong Shen, Congyan Lang, Hairong Dong:
Practical anonymity models on protecting private weighted graphs. Neurocomputing 218: 359-370 (2016) - [j22]Ye Liang, Jian Yu, Congyan Lang, Hongzhe Liu:
显著区域检测技术研究 (Research on Salient Region Extraction Technology). 计算机科学 43(3): 27-32 (2016) - [j21]Bing-Kun Bao, Congyan Lang, Tao Mei, Alberto Del Bimbo:
Guest Editorial: Learning Multimedia for Real World Applications. Multim. Tools Appl. 75(5): 2413-2417 (2016) - [j20]Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng:
Symmetry-aware graph matching. Pattern Recognit. 60: 657-668 (2016) - [j19]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) - [c23]Tao Wang, Haibin Ling, Congyan Lang, Jun Wu:
Branching Path Following for Graph Matching. ECCV (2) 2016: 508-523 - [c22]Xinmiao Ding, Lulu Huang, Bing Li, Congyan Lang, Zhen Hua, Yuling Wang:
A Novel Emotional Saliency Map to Model Emotional Attention Mechanism. MMM (2) 2016: 197-206 - 2015
- [j18]Tao Wang, Hua Yang, Congyan Lang, Songhe Feng:
An error-tolerant approximate matching algorithm for labeled combinatorial maps. Neurocomputing 156: 211-220 (2015) - [c21]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 - [c20]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 - [c19]Chenjing Yan, Congyan Lang, Songhe Feng:
Facial Age Estimation Based on Structured Low-rank Representation. ACM Multimedia 2015: 1207-1210 - 2014
- [j17]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) - [j16]Bingbing Ni, Mengdi Xu, Tam V. Nguyen, Meng Wang, Congyan Lang, ZhongYang Huang, Shuicheng Yan:
Touch Saliency: Characteristics and Prediction. IEEE Trans. Multim. 16(6): 1779-1791 (2014) - [c18]Fangfang Chen, Congyan Lang, Songhe Feng, Zehai Song:
Depth Information Fused Salient Object Detection. ICIMCS 2014: 66 - [c17]Tao Wang, Congyan Lang, Songhe Feng:
Joint Tree of Combinatorial Maps. PAKDD Workshops 2014: 22-28 - [c16]Chenjing Yan, Congyan Lang, Tao Wang, Xuetao Du, Chen Zhang:
Age Estimation Based on Convolutional Neural Network. PCM 2014: 211-220 - 2013
- [j15]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) - [j14]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) - [j13]Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo:
Improving Bottom-up Saliency Detection by Looking into Neighbors. IEEE Trans. Circuits Syst. Video Technol. 23(6): 1016-1028 (2013) - [c15]Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang:
Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition. AAAI 2013: 796-802 - [c14]Jie Sun, Songhe Feng, Wen Wang, Congyan Lang:
Personalized image recommendation and retrieval via latent SVM based model. ICIMCS 2013: 223-226 - [c13]Wen Wang, Congyan Lang, Songhe Feng:
Contextualizing Tag Ranking and Saliency Detection for Social Images. MMM (2) 2013: 428-435 - [c12]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 - [c11]Jie Sun, Congyan Lang, Songhe Feng:
Sample specific late fusion for saliency detection. WIAMIS 2013: 1-4 - 2012
- [j12]Congyan Lang, Jiashi Feng, Yantao Zheng:
Towards a universal detector by mining concepts with small semantic gaps. Expert Syst. Appl. 39(12): 11312-11320 (2012) - [j11]Congyan Lang, Songhe Feng, Bing Cheng, Bingbing Ni, Shuicheng Yan:
A unified supervised codebook learning framework for classification. Neurocomputing 77(1): 281-288 (2012) - [j10]Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan:
Saliency Detection by Multitask Sparsity Pursuit. IEEE Trans. Image Process. 21(3): 1327-1338 (2012) - [c10]Congyan Lang, Tam V. Nguyen, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Shuicheng Yan:
Depth Matters: Influence of Depth Cues on Visual Saliency. ECCV (2) 2012: 101-115 - [c9]Songhe Feng, Congyan Lang, Bing Li:
Towards relevance and saliency ranking of image tags. ACM Multimedia 2012: 917-920 - 2011
- [j9]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) - [j8]Jinhua Wang, De Xu, Congyan Lang, Bing Li:
Exposure Fusino Based on Shift-Invariant Discrete Wavelet Transform. J. Inf. Sci. Eng. 27(1): 197-211 (2011) - [c8]Ning Wang, Brian V. Funt, Congyan Lang, De Xu:
Video-Based Illumination Estimation. CCIW 2011: 188-198 - [c7]Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan:
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. ICIG 2011: 599-604 - 2010
- [j7]Jinhua Wang, De Xu, Congyan Lang, Bing Li:
An Adaptive Tone Mapping Method for Displaying High Dynamic Range Images. J. Inf. Sci. Eng. 26(3): 977-990 (2010) - [j6]Yiwei Jiang, De Xu, Na Liu, Congyan Lang:
Visual Morphing Based on the Compressed Domain. J. Inf. Sci. Eng. 26(6): 2075-2091 (2010) - [c6]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
- [j5]Congyan Lang, De Xu, Shuoyan Liu, Ning Li:
Adaptive Non-linear Intensity Mapping Based Salient Region Extraction. IEICE Trans. Inf. Syst. 92-D(4): 753-756 (2009) - [j4]Yiwei Jiang, De Xu, Na Liu, Congyan Lang:
Moving Object Completion on the Compressed Domain. IEICE Trans. Inf. Syst. 92-D(7): 1496-1499 (2009) - [c5]Congyan Lang, De Xu, Ning Li, Songhe Feng:
Salient region extraction based on Intensity Mapping for image retrieval. SMC 2009: 2177-2180 - 2008
- [j3]Congyan Lang, De Xu, Ning Li:
Modeling Bottom-Up Visual Attention for Color Images. IEICE Trans. Inf. Syst. 91-D(3): 869-872 (2008) - 2007
- [j2]Yiwei Jiang, De Xu, Moon Ho Lee, Congyan Lang:
A Visual Inpainting Method Based on the Compressed Domain. IEICE Trans. Inf. Syst. 90-D(10): 1716-1719 (2007) - 2005
- [j1]Congyan Lang, De Xu, Xu Yang:
Perception-Oriented Prominent Region Detection in Video Sequences. Informatica (Slovenia) 29(3): 253-260 (2005) - [c4]Congyan Lang, De Xu, Xu Yang, Yiwei Jiang, Wengang Cheng:
Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network. ISNN (2) 2005: 819-827 - [c3]Wengang Cheng, De Xu, Yiwei Jiang, Congyan Lang:
Information Theoretic Metrics in Shot Boundary Detection. KES (3) 2005: 388-394 - [c2]Xu Yang, De Xu, Guan Tengfei, Aimin Wu, Congyan Lang:
3-DWT Based Motion Suppression for Video Shot Boundary Detection. KES (2) 2005: 1204-1209 - [c1]Congyan Lang, De Xu, Wengang Cheng, Yiwei Jiang:
Shot Type Classification in Sports Video Using Fuzzy Information Granular. KES (2) 2005: 1217-1223
Coauthor Index
[j75] [j74] [j72] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j54] [j53] [i14] [i13] [j52] [j49] [j48] [j46] [j45] [i12] [i9] [j42] [j41] [j40] [j39] [c43] [c42] [i7] [j38] [j37] [j36] [j35] [c41] [c39] [c36] [c34] [c33] [i6] [i4] [i3] [j33] [j32] [j31] [j30] [j29] [c31] [c30] [c28] [c26] [c25] [i2] [j25] [c24] [j24] [j20] [j19] [j18] [c21] [c20] [c19] [j17] [c18] [c17] [j15] [j14] [c14] [c13] [c12] [c11] [j11] [c9] [j9] [c7] [c6] [c5]
[j75] [j74] [j72] [i18] [i17] [j71] [j69] [j67] [j63] [j62] [i15] [j61] [j60] [j57] [j56] [j53] [i14] [i13] [j52] [j51] [j50] [j49] [j46] [j45] [i12] [i11] [j40] [j39] [c43] [c42] [i7] [j37] [j35] [c41] [c39] [c36] [i6] [j33] [j32] [j31] [j29] [c31] [c30] [c26] [c25] [j26] [j25] [j24] [j20] [c23] [j18] [c17] [c16]
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