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2020 – today
- 2022
[i33]Yuanzhong Liu, Zhigang Tu, Hongyan Li, Chi Chen, Baoxin Li, Junsong Yuan:
Slow-Fast Visual Tempo Learning for Video-based Action Recognition. CoRR abs/2202.12116 (2022)- [i32]Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan:
Optical Flow for Video Super-Resolution: A Survey. CoRR abs/2203.10462 (2022) - 2021
- [j41]Shail Dave
, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109(10): 1706-1752 (2021) - [c136]Jiuxu Chen, Jorge E. Caviedes, Baoxin Li:
Classification of Single-Axis Spinal Motion Using a Wearable System of Stretch Sensors for At-home Physical Therapy. EMBC 2021: 7404-7407 - [c135]Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. ICCVW 2021: 142-151 - [c134]Yaoxin Zhuo, Baoxin Li:
Fedns: Improving Federated Learning for Collaborative Image Classification on Mobile Clients. ICME 2021: 1-6 - [c133]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - [c132]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Iterative Image Translation for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 37-44 - [c131]Sachin Chhabra, Prabal Bijoy Dutta, Baoxin Li, Hemanth Venkateswara:
Glocal Alignment for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 45-51 - [i31]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. CoRR abs/2101.02275 (2021) - [i30]Yaoxin Zhuo, Baoxin Li:
FedNS: Improving Federated Learning for collaborative image classification on mobile clients. CoRR abs/2101.07995 (2021) - [i29]Nupur Thakur, Baoxin Li:
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. CoRR abs/2109.05695 (2021) - 2020
- [j40]Bulent Ayhan, Chiman Kwan, Bence Budavari, Jude Larkin, David Gribben, Baoxin Li:
Video Activity Recognition With Varying Rhythms. IEEE Access 8: 191997-192008 (2020) - [j39]Kan Chang, Minghong Li, Pak Lun Kevin Ding, Baoxin Li:
Accurate single image super-resolution using multi-path wide-activated residual network. Signal Process. 172: 107567 (2020) - [j38]Jorge E. Caviedes, Baoxin Li, Varun C. Jammula:
Wearable Sensor Array Design for Spine Posture Monitoring During Exercise Incorporating Biofeedback. IEEE Trans. Biomed. Eng. 67(10): 2828-2838 (2020) - [j37]Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan:
Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering. IEEE Trans. Image Process. 29: 8429-8442 (2020) - [c130]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. ACSSC 2020: 289-293 - [c129]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c128]Tianshu Yu, Yikang Li, Baoxin Li:
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. ECCV (10) 2020: 127-144 - [c127]Tianshu Yu, Yikang Li, Baoxin Li:
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. ICLR 2020 - [c126]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c125]Pak Lun Kevin Ding, Sarah Martin, Baoxin Li:
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks. ICPR 2020: 7165-7172 - [i28]Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. CoRR abs/2001.04488 (2020) - [i27]Yikang Li, Tianshu Yu, Baoxin Li:
Recognizing Video Events with Varying Rhythms. CoRR abs/2001.05060 (2020) - [i26]Yuzhen Ding, Baoxin Li:
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection. CoRR abs/2001.05578 (2020) - [i25]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i24]Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR abs/2007.00864 (2020) - [i23]Nupur Thakur, Yuzhen Ding, Baoxin Li:
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks. CoRR abs/2007.09916 (2020) - [i22]Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. CoRR abs/2007.10485 (2020)
2010 – 2019
- 2019
- [j36]Guang Yang, Yaolong Zhao, Baoxin Li, Yuntao Ma, Ruren Li, Jiangbo Jing, Yuanyong Dian:
Tree Species Classification by Employing Multiple Features Acquired from Integrated Sensors. J. Sensors 2019: 3247946:1-3247946:12 (2019) - [j35]Kan Chang, Xueyu Zhang, Pak Lun Kevin Ding, Baoxin Li:
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution. Signal Process. 161: 36-49 (2019) - [j34]Zhigang Tu, Wei Xie, Dejun Zhang, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
A survey of variational and CNN-based optical flow techniques. Signal Process. Image Commun. 72: 9-24 (2019) - [j33]Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan:
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1423-1437 (2019) - [j32]Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan:
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. 28(6): 2799-2812 (2019) - [c124]Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li:
Weakly Supervised Deep Image Hashing Through Tag Embeddings. CVPR 2019: 10375-10384 - [c123]Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao:
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge 2019 - [c122]Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. Medical Imaging: Image Processing 2019: 109490F - [c121]Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Improving Robustness of Random Forest Under Label Noise. WACV 2019: 950-958 - 2018
- [j31]Zhigang Tu, Wei Xie, Qianqing Qin, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
Multi-stream CNN: Learning representations based on human-related regions for action recognition. Pattern Recognit. 79: 32-43 (2018) - [j30]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Single image super-resolution using collaborative representation and non-local self-similarity. Signal Process. 149: 49-61 (2018) - [j29]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Single Image Super Resolution Using Joint Regularization. IEEE Signal Process. Lett. 25(4): 596-600 (2018) - [c120]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS 2018: 2153-2155 - [c119]Yikang Li, Tianshu Yu, Baoxin Li:
Simultaneous Event Localization and Recognition in Surveillance Video. AVSS 2018: 1-6 - [c118]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CVPR 2018: 705-713 - [c117]Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li:
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) 2018: 142-158 - [c116]Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao:
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? EDGE 2018: 42-49 - [c115]Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li:
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS 2018: 861-871 - [c114]Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV 2018: 112-121 - [i21]Yikang Li, Pak Lun Kevin Ding, Baoxin Li:
Training Neural Networks by Using Power Linear Units (PoLUs). CoRR abs/1802.00212 (2018) - [i20]Vijetha Gattupalli, Baoxin Li:
Unsupervised Deep Image Hashing through Tag Embeddings. CoRR abs/1806.05804 (2018) - [i19]Pak Lun Kevin Ding, Yikang Li, Baoxin Li:
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. CoRR abs/1811.09763 (2018) - [i18]Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR abs/1812.00301 (2018) - 2017
- [j28]Zhigang Tu, Zuwei Guo, Wei Xie, Mengjia Yan, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
Fusing disparate object signatures for salient object detection in video. Pattern Recognit. 72: 285-299 (2017) - [c113]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c112]Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li:
Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm. EDGE 2017: 244-247 - [c111]Pak Lun Kevin Ding, Baoxin Li, Kan Chang:
Convex dictionary learning for single image super-resolution. ICIP 2017: 4058-4062 - [c110]Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Non-negative dictionary learning with pairwise partial similarity constraint. ICME 2017: 1410-1415 - [c109]Lin Chen, Jiliang Tang, Baoxin Li:
Embedded Supervised Feature Selection for Multi-class Data. SDM 2017: 516-524 - [c108]Parag Shridhar Chandakkar, Baoxin Li:
Joint Regression and Ranking for Image Enhancement. WACV 2017: 235-243 - [c107]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [i17]Parag S. Chandakkar, Baoxin Li:
Joint Regression and Ranking for Image Enhancement. CoRR abs/1704.01235 (2017) - [i16]Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li:
A Computational Approach to Relative Aesthetics. CoRR abs/1704.01248 (2017) - [i15]Parag S. Chandakkar, Baoxin Li:
A Structured Approach to Predicting Image Enhancement Parameters. CoRR abs/1704.01249 (2017) - [i14]Parag S. Chandakkar, Qiongjie Tian, Baoxin Li:
Relative Learning from Web Images for Content-adaptive Enhancement. CoRR abs/1704.01250 (2017) - [i13]Parag S. Chandakkar, Yilin Wang, Baoxin Li:
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection. CoRR abs/1704.01256 (2017) - [i12]Parag S. Chandakkar, Baoxin Li:
Investigating Human Factors in Image Forgery Detection. CoRR abs/1704.01262 (2017) - [i11]Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li:
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features. CoRR abs/1704.01264 (2017) - [i10]Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li:
Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion. CoRR abs/1704.01266 (2017) - [i9]Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li:
A Strategy for an Uncompromising Incremental Learner. CoRR abs/1705.00744 (2017) - [i8]Parag Shridhar Chandakkar, Baoxin Li:
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation. CoRR abs/1711.04945 (2017) - [i7]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CoRR abs/1711.09584 (2017) - [i6]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. CoRR abs/1712.01949 (2017) - 2016
- [j27]Lin Chen, Peng Zhang, Baoxin Li:
User-adaptive image retrieval via fusing pointwise and pairwise labels. Int. J. Multim. Inf. Retr. 5(1): 19-33 (2016) - [j26]Gazi Islam, Kanav Kahol, Baoxin Li, Marshall L. Smith, Vimla L. Patel:
Affordable, web-based surgical skill training and evaluation tool. J. Biomed. Informatics 59: 102-114 (2016) - [j25]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization. IEEE Signal Process. Lett. 23(4): 449-453 (2016) - [c106]Qiongjie Tian, Baoxin Li:
Weakly hierarchical lasso based learning to rank in best answer prediction. ASONAM 2016: 307-314 - [c105]Qiongjie Tian, Jashmi Lagisetty, Baoxin Li:
Finding needles of interested tweets in the haystack of Twitter network. ASONAM 2016: 447-452 - [c104]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR 2016: 6005-6013 - [c103]Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li:
On the generality of neural image features. ICIP 2016: 41-45 - [c102]Xu Zhou, Yilin Wang, Peng Zhang, Baoxin Li:
Scale-adaptive EigenEye for fast eye detection in wild web images. ICIP 2016: 2911-2915 - [c101]Yikang Li, Sheng-hung Hu, Baoxin Li:
Recognizing unseen actions in a domain-adapted embedding space. ICIP 2016: 4195-4199 - [c100]Sheng-hung Hu, Yikang Li, Baoxin Li:
Video2vec: Learning semantic spatio-temporal embeddings for video representation. ICPR 2016: 811-816 - [c99]Vijetha Gattupalli, Parag S. Chandakkar, Baoxin Li:
A computational approach to relative aesthetics. ICPR 2016: 2446-2451 - [c98]Zhigang Tu, Jun Cao, Yikang Li, Baoxin Li:
MSR-CNN: Applying motion salient region based descriptors for action recognition. ICPR 2016: 3524-3529 - [c97]Lin Chen, Baoxin Li:
Clustering-Based Joint Feature Selection for Semantic Attribute Prediction. IJCAI 2016: 3338-3344 - [c96]Parag Shridhar Chandakkar, Baoxin Li:
A structured approach to predicting image enhancement parameters. WACV 2016: 1-9 - [c95]Qiongjie Tian, Baoxin Li:
Simultaneous semantic segmentation of a set of partially labeled images. WACV 2016: 1-9 - [c94]Yilin Wang, Qiang Zhang, Baoxin Li:
Efficient unsupervised abnormal crowd activity detection based on a spatiotemporal saliency detector. WACV 2016: 1-9 - [i5]Ragav Venkatesan, Baoxin Li:
Diving deeper into mentee networks. CoRR abs/1604.08220 (2016) - [i4]Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li:
Neural Dataset Generality. CoRR abs/1605.04369 (2016) - [i3]Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li:
Hierarchical Attention Network for Action Recognition in Videos. CoRR abs/1607.06416 (2016) - 2015
- [b1]Qiang Zhang, Baoxin Li:
Dictionary Learning in Visual Computing. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2015, pp. 1-151 - [j24]Ragav Venkatesan, Christine M. Zwart, David H. Frakes, Baoxin Li:
Spatiotemporal video deinterlacing using control grid interpolation. J. Electronic Imaging 24(2): 023022 (2015) - [j23]Kan Chang, Baoxin Li:
Joint modeling and reconstruction of a compressively-sensed set of correlated images. J. Vis. Commun. Image Represent. 33: 286-300 (2015) - [j22]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1206-1218 (2015) - [j21]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Color image demosaicking using inter-channel correlation and nonlocal self-similarity. Signal Process. Image Commun. 39: 264-279 (2015) - [c93]Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li:
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning. ICCV 2015: 2605-2613 - [c92]Yilin Wang, Baoxin Li:
Sentiment Analysis for Social Media Images. ICDM Workshops 2015: 1584-1591 - [c91]Jun Cao, Yilin Wang, Baoxin Li:
Real-time vehicle back-up warning system with a single camera. ICIP 2015: 2275-2279 - [c90]Parag Shridhar Chandakkar, Qiongjie Tian, Baoxin Li:
Relative learning from web images for content-adaptive enhancement. ICME 2015: 1-6 - [c89]Lin Chen, Qiang Zhang, Peng Zhang, Baoxin Li:
Instructive video retrieval for surgical skill coaching using attribute learning. ICME 2015: 1-6 - [c88]Yilin Wang, Qiang Zhang, Baoxin Li:
Structure-preserving Image Quality Assessment. ICME 2015: 1-6 - [c87]Yilin Wang, Yuheng Hu, Subbarao Kambhampati, Baoxin Li:
Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach. ICWSM 2015: 473-482 - [c86]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
Unsupervised Sentiment Analysis for Social Media Images. IJCAI 2015: 2378-2379 - [c85]Lin Chen, Peng Zhang, Baoxin Li:
Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image Retrieval. ICMR 2015: 67-74 - [c84]Xu Zhou, Baoxin Li:
Retrieving Unfamiliar Faces: Towards Understanding Human Performance. ACM Multimedia 2015: 1287-1290 - [c83]Parag S. Chandakkar, Yilin Wang, Baoxin Li:
Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection. WACV 2015: 404-411 - [i2]Qiang Zhang, Yilin Wang, Baoxin Li:
Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector. CoRR abs/1503.06917 (2015) - [i1]Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati, Baoxin Li:
Evolution of fashion brands on Twitter and Instagram. CoRR abs/1512.01174 (2015) - 2014
- [j20]Qiang Zhang, Lin Chen, Baoxin Li:
Max-Margin Multiattribute Learning With Low-Rank Constraint. IEEE Trans. Image Process. 23(7): 2866-2876 (2014) - [c82]Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li:
Image Cosegmentation via Multi-task Learning. BMVC 2014 - [c81]Lin Chen, Qiang Zhang, Baoxin Li:
Predicting Multiple Attributes via Relative Multi-task Learning. CVPR 2014: 1027-1034 - [c80]Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li:
Video-Based Self-positioning for Intelligent Transportation Systems Applications. ISVC (1) 2014: 718-729 - [c79]Parag Shridhar Chandakkar, Baoxin Li:
Investigating Human Factors in Image Forgery Detection. HuEvent@MM 2014: 41-44 - [c78]Lin Chen, Peng Zhang, Baoxin Li:
Instructive Video Retrieval Based on Hybrid Ranking and Attribute Learning: A Case Study on Surgical Skill Training. ACM Multimedia 2014: 1045-1048 - [p1]Peng Zhang, Xufei Wang, Baoxin Li:
Evaluating Important Factors and Effective Models for Twitter Trend Prediction. Online Social Media Analysis and Visualization 2014: 81-98 - 2013
- [c77]Peng Zhang, Xufei Wang, Baoxin Li:
On predicting Twitter trend: factors and models. ASONAM 2013: 1427-1429 - [c76]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Evaluating Motion Skill. CVPR 2013: 548-555 - [c75]Hima Bindu Maguluri, Qiongjie Tian, Baoxin Li:
Detecting text in floor maps using Histogram of Oriented Gradients. ICASSP 2013: 1932-1936 - [c74]Gazi Islam, Baoxin Li, Kanav Kahol:
Developing a real-time low-cost system for surgical skill training and assessment. ICME Workshops 2013: 1-4 - [c73]Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li:
Supporting navigation of outdoor shopping complexes for visuallyimpaired users through multi-modal data fusion. ICME 2013: 1-7 - [c72]