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Semantic ScholarThomas S. Huang
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- affiliation: University of Illinois at Urbana-Champaign, Beckman Institute
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2010 – today
- 2018
[j260]Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Frank R. Greguska, Christopher J. Finch:
A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example. ISPRS Int. J. Geo-Information 7(2): 62 (2018)- [i48]Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Generative Image Inpainting with Contextual Attention. CoRR abs/1801.07892 (2018) - [i47]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. CoRR abs/1803.06799 (2018) - 2017
- [j259]Thomas S. Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen:
Biomedical informatics with optimization and machine learning. EURASIP J. Bioinformatics and Systems Biology 2017: 4 (2017) - [j258]Yongyao Jiang, Yun Li, Chaowei Yang, Kai Liu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Christopher J. Finch:
A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example. International Journal of Geographical Information Science 31(11): 2310-2328 (2017) - [j257]Daniel Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy, Rocío García-Retamero:
A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. Journal of Biomedical Informatics 69: 63-74 (2017) - [j256]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1360-1373 (2017) - [j255]Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang:
LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. IEEE Trans. Image Processing 26(1): 196-207 (2017) - [j254]Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang:
Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Processing 26(9): 4321-4330 (2017) - [j253]Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang:
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Processing 26(10): 4765-4776 (2017) - [c632]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII 2017: 65-70 - [c631]Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Victor Sadauskas, Tarek Sakakini, Daniel Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Suma Bhat, Ann Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich, William Schuh:
Using Computer Agents to Explain Clinical Test Results. AMIA 2017 - [c630]Tarek Sakakini, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Yang Zhang, Suma Bhat, Daniel Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Ann M. Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich:
Dr. Babel Fish: A Machine Translator to Simplify Providers' Language. AMIA 2017 - [c629]
- [c628]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c627]Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops 2017: 1157-1164 - [c626]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang:
Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV 2017: 2526-2534 - [c625]Haichao Yu, Ding Liu, Honghui Shi, Haichao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang:
Computed tomography super-resolution using convolutional neural networks. ICIP 2017: 3944-3948 - [c624]Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang:
Doubly Sparsifying Network. IJCAI 2017: 3020-3026 - [c623]Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, Thomas S. Huang:
Image aesthetics assessment using Deep Chatterjee's machine. IJCNN 2017: 941-948 - [c622]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 76-86 - [c621]Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang:
Neighborhood Regularized l^1-Graph. UAI 2017 - [c620]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i46]Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. CoRR abs/1701.00823 (2017) - [i45]Ning Xu, Brian L. Price, Scott Cohen, Thomas S. Huang:
Deep Image Matting. CoRR abs/1703.03872 (2017) - [i44]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. CoRR abs/1703.07519 (2017) - [i43]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i42]Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. CoRR abs/1706.04284 (2017) - [i41]Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang:
Deep GrabCut for Object Selection. CoRR abs/1707.00243 (2017) - [i40]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR abs/1709.01230 (2017) - [i39]Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang:
Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR abs/1709.01231 (2017) - [i38]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR abs/1709.03126 (2017) - [i37]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - [i36]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - [i35]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition under Adverse Conditions via Deep Networks. CoRR abs/1712.07732 (2017) - 2016
- [j252]Yongyao Jiang, Yun Li, Chaowei Yang, Edward M. Armstrong, Thomas S. Huang, David Moroni:
Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery. ISPRS Int. J. Geo-Information 5(5): 54 (2016) - [j251]Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48(3): 707-740 (2016) - [j250]Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Thomas S. Huang:
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Processing 25(7): 3194-3207 (2016) - [c619]
- [c618]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [c617]Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. ACCV (3) 2016: 145-156 - [c616]Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang:
Deep Interactive Object Selection. CVPR 2016: 373-381 - [c615]Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang:
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR 2016: 2764-2772 - [c614]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CVPR 2016: 4792-4800 - [c613]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) 2016: 731-747 - [c612]Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou:
Robust Convex Clustering Analysis. ICDM 2016: 1263-1268 - [c611]Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang:
How deep neural networks can improve emotion recognition on video data. ICIP 2016: 619-623 - [c610]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang:
Learning A Deep ℓ∞ Encoder for Hashing. IJCAI 2016: 2174-2180 - [c609]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c608]Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William M. Campbell, Charlie K. Dagli, Thomas S. Huang:
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction. AVEC@ACM Multimedia 2016: 97-104 - [c607]Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas S. Huang:
UnitBox: An Advanced Object Detection Network. ACM Multimedia 2016: 516-520 - [c606]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. SDM 2016: 369-377 - [i34]Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang:
$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CoRR abs/1601.04149 (2016) - [i33]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CoRR abs/1601.04153 (2016) - [i32]Zhangyang Wang, Florin Dolcos, Diane Beck, Shiyu Chang, Thomas S. Huang:
Brain-Inspired Deep Networks for Image Aesthetics Assessment. CoRR abs/1601.04155 (2016) - [i31]Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie K. Dagli, Thomas S. Huang:
How Deep Neural Networks Can Improve Emotion Recognition on Video Data. CoRR abs/1602.07377 (2016) - [i30]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016) - [i29]Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang:
Deep Interactive Object Selection. CoRR abs/1603.04042 (2016) - [i28]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang:
Learning A Deep ℓ∞ Encoder for Hashing. CoRR abs/1604.01475 (2016) - [i27]Xianming Liu, Min-Hsuan Tsai, Thomas S. Huang:
Analyzing User Preference for Social Image Recommendation. CoRR abs/1604.07044 (2016) - [i26]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i25]Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas S. Huang:
UnitBox: An Advanced Object Detection Network. CoRR abs/1608.01471 (2016) - [i24]Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang:
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR abs/1608.06374 (2016) - [i23]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - [i22]Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang:
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation. CoRR abs/1612.02766 (2016) - 2015
- [j249]Ning Xu, Jiangping Wang, Guojun Qi, Thomas S. Huang, Weiyao Lin:
Ontological Random Forests for Image Classification. IJIRR 5(3): 61-74 (2015) - [j248]Shih-Fu Chang, Thomas S. Huang, Michael S. Lew, Bart Thomee:
Special issue on concept detection with big data. IJMIR 4(2): 73-74 (2015) - [j247]Liujuan Cao, Xianming Liu, Wei Liu, Rongrong Ji, Thomas S. Huang:
Localizing web videos using social images. Inf. Sci. 302: 122-131 (2015) - [j246]Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang:
Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22(9): 1472-1476 (2015) - [j245]Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang:
Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybernetics 45(3): 444-452 (2015) - [j244]Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization. IEEE Trans. Geoscience and Remote Sensing 53(3): 1161-1173 (2015) - [j243]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Processing 24(11): 4359-4371 (2015) - [j242]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Breaking the Barrier to Transferring Link Information across Networks. IEEE Trans. Knowl. Data Eng. 27(7): 1741-1753 (2015) - [c605]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-tuned deep super resolution. CVPR Workshops 2015: 1-8 - [c604]Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, Thomas S. Huang:
Understanding image structure via hierarchical shape parsing. CVPR 2015: 5042-5050 - [c603]Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deep Networks for Image Super-Resolution with Sparse Prior. ICCV 2015: 370-378 - [c602]Jiangping Wang, Kai Ma, Vivek Kumar Singh, Thomas S. Huang, Terrence Chen:
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies. ICCV 2015: 1591-1599 - [c601]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c600]Pooya Khorrami, Tom Le Paine, Thomas S. Huang:
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? ICCV Workshops 2015: 19-27 - [c599]Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang:
A Space Alignment Method for Cold-Start TV Show Recommendations. IJCAI 2015: 3373-3379 - [c598]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang:
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. IJCAI 2015: 3932-3938 - [c597]Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. KDD 2015: 119-128 - [c596]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
DeepFont: Identify Your Font from An Image. ACM Multimedia 2015: 451-459 - [c595]Zhangyang Wang, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Zhaowen Wang, Yuyan Song, Joseph Hsieh, Sarah Kong, Thomas S. Huang:
DeepFont: A System for Font Recognition and Similarity. ACM Multimedia 2015: 813-814 - [c594]Xue-wen Chen, Melih S. Aslan, Kunlei Zhang, Thomas S. Huang:
Learning Multi-channel Deep Feature Representations for Face Recognition. FE@NIPS 2015: 60-71 - [c593]Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang:
Towards Classification of Social Streams. SDM 2015: 649-657 - [c592]Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang:
Designing a composite dictionary adaptively from joint examples. VCIP 2015: 1-4 - [c591]Zhaowen Wang, Jianchao Yang, Zhe L. Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning Using Large Margin Neighborhood Embedding. WACV 2015: 464-471 - [i21]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly from External and Internal Examples. CoRR abs/1503.01138 (2015) - [i20]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - [i19]Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang:
Designing A Composite Dictionary Adaptively From Joint Examples. CoRR abs/1503.03621 (2015) - [i18]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
Real-World Font Recognition Using Deep Network and Domain Adaptation. CoRR abs/1504.00028 (2015) - [i17]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-Tuned Deep Super Resolution. CoRR abs/1504.05632 (2015) - [i16]Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang:
DeepFont: Identify Your Font from An Image. CoRR abs/1507.03196 (2015) - [i15]Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deeply Improved Sparse Coding for Image Super-Resolution. CoRR abs/1507.08905 (2015) - [i14]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. CoRR abs/1509.00151 (2015) - [i13]
- [i12]Pooya Khorrami, Tom Le Paine, Thomas S. Huang:
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? CoRR abs/1510.02969 (2015) - [i11]Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang:
Learning ℓ0-Graph for Data Clustering. CoRR abs/1510.08520 (2015) - 2014
- [j241]Thomas S. Huang, Vuong Le, Thomas Paine, Pooya Khorrami, Usman Tariq:
Visual Media: History and Perspectives. IEEE MultiMedia 21(2): 4-10 (2014) - [j240]Kyungtae Kim, Kai-Hsiang Lin, Dirk B. Walther, Mark Hasegawa-Johnson, Thomas S. Huang:
Automatic detection of auditory salience with optimized linear filters derived from human annotation. Pattern Recognition Letters 38: 78-85 (2014) - [j239]Usman Tariq, Jianchao Yang, Thomas S. Huang:
Supervised super-vector encoding for facial expression recognition. Pattern Recognition Letters 46: 89-95 (2014) - [j238]Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Spatial-Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization. IEEE Trans. Geoscience and Remote Sensing 52(8): 4808-4822 (2014) - [j237]Fuming Sun, Jinhui Tang, Haojie Li, Guo-Jun Qi, Thomas S. Huang:
Multi-Label Image Categorization With Sparse Factor Representation. IEEE Trans. Image Processing 23(3): 1028-1037 (2014) - [c590]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang:
Data Clustering by Laplacian Regularized L1-Graph. AAAI 2014: 3148-3149 - [c589]Tongtao Zhang, Haibo Li, Hongzhao Huang, Heng Ji, Min-Hsuan Tsai, Shen-Fu Tsai, Thomas S. Huang:
Cross-media Cross-genre Information Ranking based on Multi-media Information Networks. VL@COLING 2014: 74-81 - [c588]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang:
Regularized l1-Graph for Data Clustering. BMVC 2014 - [c587]Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson:
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops 2014: 754-761 - [c586]Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang:
Epitomic image colorization. ICASSP 2014: 2470-2474 - [c585]Yingzhen Yang, Feng Liang, Thomas S. Huang:
Discriminative Exemplar clustering. ICASSP 2014: 6771-6775 - [c584]Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Factorized Similarity Learning in Networks. ICDM 2014: 60-69 - [c583]Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang:
Learning Local Semantic Distances with Limited Supervision. ICDM 2014: 70-79 - [c582]Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang:
Foreground object detection in highly dynamic scenes using saliency. ICIP 2014: 1125-1129 - [c581]Pooya Khorrami, Vuong Le, John C. Hart, Thomas S. Huang:
A system for monitoring the engagement of remote online students using eye gaze estimation. ICME Workshops 2014: 1-6 - [c580]Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu:
Learning relative features through adaptive pooling for image classification. ICME 2014: 1-6 - [c579]Ning Xu, Jiangping Wang, Zhaowen Wang, Thomas S. Huang:
An ontological bagging approach for image classification of crowdsourced data. ICME Workshops 2014: 1-5 - [c578]Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang:
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. NIPS 2014: 145-153 - [c577]Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
A joint perspective towards image super-resolution: Unifying external- and self-examples. WACV 2014: 596-603 - [c576]Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang:
Ranking in heterogeneous social media. WSDM 2014: 613-622 - [p10]Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. Data Classification: Algorithms and Applications 2014: 337-364 - [i10]Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning using Large Margin Neighborhood Embedding. CoRR abs/1404.6272 (2014) - [i9]Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang:
An Analysis of Unsupervised Pre-training in Light of Recent Advances. CoRR abs/1412.6597 (2014) - 2013
- [j236]Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A. Jansen, Tianjiang Wang, Thomas S. Huang:
Automated identification of animal species in camera trap images. EURASIP J. Image and Video Processing 2013: 52 (2013) - [j235]Yanning Zhang, Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang:
Multi-metric learning for multi-sensor fusion based classification. Information Fusion 14(4): 431-440 (2013) - [j234]Haichao Zhang, Yanning Zhang, Thomas S. Huang:
Simultaneous discriminative projection and dictionary learning for sparse representation based classification. Pattern Recognition 46(1): 346-354 (2013)