Face Processing and Applications to Distance Learning.
Vuong Le, Pooya Khorrami, Usman Tariq, Hao Tang, Thomas S. Huang.
World Scientific Publishing 2016.
Sparse Coding and its Applications in Computer Vision.
Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S Huang.
World Scientific Publishing 2016.
Data Classification: Algorithms and Applications.
Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, and Thomas S. Huang.
Multimedia Classification, Chapter 11. Chapman and Hall 2014.
Large-Scale Supervised Similarity Learning in Networks.
Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang.
Knowledge and Information Systems 2015.
Learning Super-Resolution Jointly from External and Internal Examples.
Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. Huang.
IEEE Transactions on Image Processing (TIP), vol. 24, no. 11 2015.
Localizing web videos using social images.
Cao, L., Liu, X. M., Liu, W., Ji, R., & Huang, T.
Information Sciences, vol. 302 2015.
Ontological Random Forests for Image Classification.
Xu, N., Wang, J., Qi, G., Huang, T., & Lin, W.
International Journal of Information Retrieval Research (IJIRR), vol. 5, no. 3 2015.
Semi-supervised Hyperspectral Classification using Task-driven Dictionary Learning with Regularization.
Z. Wang, N. Nasrabadi, and T. Huang.
IEEE Transactions on Geosciences and Remote Sensing (TGRS), vol. 56, no. 3 2015.
Subcategory-aware object detection.
X. Yu, J. Yang, Z. Lin, J. Wang, T. Wang, T. Huang.
Signal Processing Letters, IEEE, vol. 22, no. 9 2015.
Automatic Detection of Auditory Salience with Optimized Linear Filters Derived from Human Annotation
Kyungtae Kim, Kai-Hsiang Lin, Dirk B. Walther, Mark A. Hasegawa-Johnson, and Thomas S. Huang.
Pattern Recognition Letters , vol. 38 2014.
Visual Media: History and Perspectives.
Thomas S. Huang, Vuong Le, Tom Le Paine, Pooya Khorrami, and Usman Tariq.
IEEE MultiMedia, vol. 21, no. 2 2014.
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior.
Liu D, Wang Z, Wen B, Yang J, Han W, Huang TS.
IEEE Transactions on Image Processing. vol. 25, no. 7 2016.
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
Z. Wang, D. Liu, S. Chang, Q. Ling and T. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
Deep Interactive Object Selection
Ning Xu, Brian Price, Scott Cohen, Jimei Yang, Thomas Huang
CVPR 2016.
Epitomic Image Super-Resolution
Y. Yang, Z. Wang, Z. Wang, S. Chang, D. Liu, H. Shi, and T. Huang
AAAI Conference on Artificial Intelligence (AAAI) 2016.
How Deep Neural Networks Can Help Emotion Recognition on Video Data.
Pooya Khorrami, Tom Le Paine, Kevin Brady, Charlie Dagli, Thomas S. Huang
IEEE International Conference on Image Processing (ICIP) 2016.
Learning A Deep ℓ∞ Encoder for Hashing
Z. Wang, Y. Yang, S. Chang, Q. Ling, and T. Huang
International Joint Conferences on Artificial Intelligence (IJCAI) 2016.
Learning A Task-Specific Deep Architecture for Clustering
Z. Wang, S. Chang, J. Zhou, M. Wang and T. Huang
SIAM Conference on Data Mining (SDM) 2016.
Learning Deep l0 Encoders
Z. Wang, Q. Ling, and T. Huang
AAAI Conference on Artificial Intelligence (AAAI) 2016.
Learning a Mixture of Deep Networks for Single Image Super-Resolution.
Liu, D., Wang, Z., Nasrabadi, N., and Huang, T.S.
Asian Conference on Computer Vision (ACCV) 2016.
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction
Kevin Brady, Youngjune Gwon, Pooya Khorrami, Elizabeth Godoy, William Campbell, Charlie Dagli, Thomas S. Huang
International Workshop on Audio/Visual Emotion Challenge (AVEC) 2016.
On Order-Constrained Transitive Distance Clustering
Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li and Vijayakumar Bhagavatula
AAAI Conference on Artificial Intelligence (AAAI) 2016.
Studying Very Low Resolution Recognition Using Deep Networks
Z. Wang, S. Chang, Y. Yang, D. Liu and T. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
UnitBox: An Advanced Object Detection Network
Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas Huang
ACM MM 2016.
A Space Alignment Method for Cold-Start TV Show Recommendations.
Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang
IJCAI 2015.
An Analysis of Unsupervised Pre-training in Light of Recent Advances
Tom Le Paine, Pooya Khorrami, Wei Han, and Thomas S. Huang
IEEE International Conference on Learning Representations (ICLR) Workshop 2015.
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies.
J. Wang, K. Ma, V. Singh, T. Huang, T. Chen.
International Conference on Computer Vision (ICCV) 2015.
Decentralized Recommender Systems
Z. Wang, X. Liu, S. Chang, J. Zhou, G. Qi and T. Huang
SDM workshop on Machine Learning Methods for Recommender Systems (SDM MLRec) 2015.
Deep Networks for Image Super-Resolution with Sparse Prior.
Zhaowen Wang, Ding Liu, Wei Han, Jianchao Yang and Thomas Huang
International Conference on Computer Vision (ICCV) 2015.
DeepFont: A System for Font Recognition and Similarity
Z. Wang, J. Yang, H. Jin, J. Brandt, E. Shechtman, A. Agarwala, Z. Wang, S. Kong, and T. Huang
ACM International Conference on Multimedia (ACM MM) 2015.
DeepFont: Identify Your Font from An Image
DeepFont: Identify Your Font from An Image
ACM International Conference on Multimedia (ACM MM) 2015.
Designing A Composite Dictionary Adaptively from Joint Examples
Z. Wang, Y. Yang, J. Yang and T. Huang
IEEE Conference on Visual Communications and Image Processing (VCIP) 2015.
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, and Thomas Huang
IEEE International Conference on Computer Vision Workshops (ICCVW) 2015.
Heterogeneous Network Embedding via Deep Architectures
Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
KDD 2015.
Joint Optimization Framework of Sparse Coding and Discriminative Clustering
Z. Wang, Y. Yang, S. Chang, J. Li, S. Fong and T. Huang
International Joint Conferences on Artificial Intelligence (IJCAI) 2015.
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks.
Cao, C., Liu, X., Yang, Y., Yu, Y., Wang, J., Wang, Z., ... , Ramanan, D., and Huang, T. S.
IEEE International Conference on Computer Vision (ICCV) 2015.
Real-World Font Recognition Using Deep Network and Domain Adaptation
Z. Wang, J. Yang, H. Jin, E. Shechtman, A. Agarwala, J. Brandt and T. Huang
International Conference on Learning Representations (ICLR) workshop 2015.
Scalable Similarity Learning Using Large Margin Neighborhood Embedding
Zhaowen Wang, Jianchao Yang, Zhe L. Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang
WACV 2015.
Self-Tuned Deep Super Resolution
Z. Wang, Y. Yang, Z. Wang, S. Chang, W. Han, J. Yang, and T. Huang
IEEE CVPR workshop on Deep Learning in Computer Vision (CVPR DeepVision) 2015.
Understanding Image Structure via Hierarchical Shape Parsing.
Liu, X. M., Ji, R., Wang, C., Liu, W., Zhong, B., & Huang, T. S.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015.
A Joint Perspective Towards Image Super-Resolution: Unifying External- and Self-Examples
Z. Wang, Z. Wang, S. Chang, J. Yang and T. Huang
IEEE Winter conference on Applications of Computer Vision (WACV) 2014.
A System for Monitoring the Engagement of Remote Online Students using Eye Gaze Estimation
Pooya Khorrami, Vuong Le, John C. Hart, and Thomas S. Huang
IEEE International Conference on Multimedia and Expo Workshops. (ICMEW) 2014.
Active Planning, Sensing and Recognition Using a Resource-Constrained Discriminant POMDP
Z. Wang, Z. Wang, P. Huang, M. Moll, D. Grady, N. Nasrabadi, T. Huang, L. Kayraki, and M. Johnson
IEEE CVPR workshop on Multi-Sensor Fusion (CVPR MSF) 2014.
An ontological bagging approach for image classification of crowdsourced data.
Xu, N., Wang, J., Wang, Z., & Huang, T.
International Conference on Multimedia and Expo Workshops (ICMEW) 2014.
Data Clustering by Laplacian Regularized L1-Graph
Y. Yang, Z. Wang, J. Yang, and T. Huang
AAAI Conference on Artificial Intelligence (AAAI) 2014.
Discriminative Exemplar Clustering.
Yingzhen Yang, Feng Liang, Thomas S. Huang.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014.
Epitomic Image Colorization.
Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong-Sang Chia, Hailin Jin, Thomas S. Huang
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2014.
Factorized Similarity Learning in Networks
Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang.
ICDM 2014.
Foreground Object Detection in Highly Dynamic Scenes using Saliency
Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, and Thomas S. Huang
IEEE International Conference on Image Processing (ICIP) 2014.
GPU asynchronous stochastic gradient descent to speed up neural network training.
Tom Le Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas Huang
IEEE International Conference on Learning Representations (ICLR) Workshop 2014.
Learning Local Semantic Distances with Limited Supervision.
Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang
ICDM 2014.
Nonparametric Pairwise Similarity for Clustering
Y. Yang, X. Chu, Z. Wang, and T. Huang
NIPS workshop on Modern Nonparametric Methods in Machine Learning 2014.
On A Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Y. Yang, F. Liang, S. Yan. Z. Wang, and T. Huang
Advances in Neural Information Processing Systems (NIPS) 2014.
Regularized L1-Graph for Data Clustering
Y. Yang, Z. Wang, J. Yang, J. Han, and T. Huang
British Machine Vision Conference (BMVC) 2014.
Seq-NMS for Video Object Detection
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
Technical report for 3rd place submission to Imagenet Large-Scale Object Detection in Video Challenge. 2016.