Publications

2017

  • Kazi Wasif Ahmed, Omit Chanda, Noman Mohammed and Yang Wang. Obfuscated Image Classification for Secure Image-centric Friend Recommendation. Special Issue on Towards Secure, Privacy-Preserving, and Reliable Smart Cities and Society, Elsevier Sustainable Cities and Society, 2017.
  • Eu Wern Teh, Zhenyu Guo and Yang Wang. Object Localization in Weakly Labeled Data Using Regularized Attention Networks. IEEE Visual Communications and Image Processing (VCIP), 2017.
  • Md Mohaiminul Islam, Ye Tian, Yan Cheng, Yang Wang and Pingzhao Hu. A deep neural network based regression model for triglyceride concentrations prediction using epigenome-wide DNA methylation profiles. BMC Proceedings, 2017.
  • Tanzila Rahman, Mrigank Rochan and Yang Wang. Person Re-Identification by Localizing Discriminative Regions. The 28th British Machine Vision Conference (BMVC), 2017.
  • Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo and Yang Wang. Adapting Object Detectors from Images to Weakly Labeled Videos. The 28th British Machine Vision Conference (BMVC), 2017. Code on GitHub
  • Md Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil Bruce and Yang Wang. Salient Object Detection using a Context-Aware Refinement Network. The 28th British Machine Vision Conference (BMVC), 2017.
  • Linwei Ye, Zhi Liu and Yang Wang. Depth-Aware Object Instance Segmentation. IEEE International Conference on Image Processing (ICIP), 2017.
  • Linwei Ye, Zhi Liu, Lina Li, Liquan Shen, Cong Bai and Yang Wang. Salient Object Segmentation via Effective Integration of Saliency and Objectness. IEEE Transactions on Multimedia, 2017.
  • Md Amirul Islam, Mrigank Rochan, Neil Bruce and Yang Wang. Gated Feedback Refinement Network for Dense Image Labeling. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Code on GitHub
  • Jie Lei, Zhenyu Guo and Yang Wang. Weakly Supervised Image Classification with Coarse and Fine Labels. The 14th Conference on Computer and Robot Vision (CRV), 2017. Code on GitHub
  • Md Mohaiminul Islam, Rasif Ajwad, Chen Chi, Michael Domaratski, Yang Wang and Pingzhao Hu. Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning. The 30th Canadian Conference on Artificial Intelligence (AI), 2017.

    2016

  • Mrigank Rochan, Shafin Rahman, Neil Bruce and Yang Wang. Weakly Supervised Object Localization and Segmentation in Videos. Image and Vision Computing, 2016.
  • Md Atiqur Rahman and Yang Wang. Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation. International Symposium on Visual Computing (ISVC), 2016.
  • Eu Wern Teh, Mrigank Rochan and Yang Wang. Attention Networks for Weakly Supervised Object Localization. The 27th British Machine Vision Conference (BMVC), 2016
  • Geng Yan, Yang Wang and Zicheng Liao. LSTM for Image Annotation with Relative Visual Importance. The 27th British Machine Vision Conference (BMVC), 2016
  • Shujon Naha and Yang Wang. Beyond Verbs: Understanding Actions in Videos with Text. International Conference on Pattern Recognition (ICPR), 2016.
  • Shujon Naha and Yang Wang. Object Figure-Ground Segmentation Using Zero-Shot Learning. International Conference on Pattern Recognition (ICPR), 2016.
  • Md Amirul Islam, Neil Bruce and Yang Wang. Dense Image Labeling Using Deep Convolutional Neural Networks. The 13th Conference on Computer and Robot Vision (CRV), 2016.
  • Md Atiqur Rahman and Yang Wang. Learning Neural Networks with Ranking-based Losses for Action Retrieval. The 13th Conference on Computer and Robot Vision (CRV), 2016. Best Vision Paper Award
  • Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David A. Shamma, Liangliang Cao and Yang Wang. Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. Book chapter in Large-Scale Visual Geo-Localization, Springer, 2016.
  • 2015

  • Mrigank Rochan and Yang Wang. Weakly Supervised Localization of Novel Objects using Appearance Transfer. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • Shujon Naha and Yang Wang. Zero-Shot Object Recognition Using Semantic Label Vectors. The 12th Conference on Computer and Robot Vision (CRV), 2015.
  • Mrigank Rochan and Yang Wang. Latent SVM for Object Localization in Weakly Labeled Videos. The 12th Conference on Computer and Robot Vision (CRV), 2015.
  • 2014

  • Mrigank Rochan and Yang Wang. Efficient Object Localization and Segmentation in Weakly Labeled Videos. The 10th International Symposium on Visual Computing (ISVC), 2014.
  • Somayah Albaradei and Yang Wang. Object Classification Using a Semantic Hierarchy. The 10th International Symposium on Visual Computing (ISVC), 2014.
  • Shafin Rahman, Mrigank Rochan, Yang Wang and Neil Bruce. Examining Visual Saliency Prediction in Naturalistic Scenes. IEEE International Conference on Image Processing (ICIP), 2014.
  • Carson Kai-Sang Leung, Richard Kyle MacKinnon and Yang Wang. Machine Learning Approach for Stock Price Prediction. International Database Engineering and Applications Symposium (IDEAS), 2014
  • Duan Tran, Yang Wang and David Forsyth. Human Parsing with a Cascade of Hierarchical Poselet Based Pruners. IEEE International Conference on Multimedia and Expo (ICME), 2014.
  • Mrigank Rochan, Shafin Rahman, Neil Bruce and Yang Wang. Segmenting Objects in Weakly Labeled Videos. The 11th Conference on Computer and Robot Vision (CRV), 2014.
  • Somayah Albaradei, Yang Wang, Liangliang Cao and Li-Jia Li. Learning Mid-Level Features from Object Hierarchy for Image Classification. IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.
  • 2013

  • Zicheng Liao, Jason Rock, Yang Wang and David Forsyth. Non-Parametric Filtering for Geometric Detail Extraction and Material Representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
  • Yang Wang and David Forsyth. Large Multi-class Image Categorization with Ensembles of Label Trees. IEEE International Conference on Multimedia and Expo (ICME), 2013.
  • Khalad Hasan, Yang Wang, Wing Kwong and Pourang Irani. Enabling User Interactions with Video Contents. The 10th Conference on Computer and Robot Vision (CRV), 2013. video demo
  • Debajyoti Mondal, Yang Wang and Stephane Durocher. Robust Solvers for Square Jigsaw Puzzles. The 10th Conference on Computer and Robot Vision (CRV), 2013.
  • Yang Wang and Liangliang Cao. Discovering Latent Clusters from Geotagged Beach Images. International Conference on Multimedia Modeling (MMM), 2013.
  • Mani Ranjbar, Tian Lan, Yang Wang, Stephen Robinovitch and Greg Mori. Optimizing Non-Decomposable Loss Functions in Structured Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013.
  • 2012

  • Yang Wang, Duan Tran, Zicheng Liao and David Forsyth. Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition. Journal of Machine Learning Research (JMLR), 2012.
  • Weilong Yang, Yang Wang, Arash Vahdat and Greg Mori. Kernel Latent SVM for Visual Recognition. Advances in Neural Information Processing Systems (NIPS), 2012.
  • Tian Lan, Weilong Yang, Yang Wang and Greg Mori. Image Retrieval with Structured Object Queries using Latent Ranking SVM. European Conference on Computer Vision (ECCV), 2012.
  • Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres and David Forsyth. Building a Dictionary of Image Fragments. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
  • Tian Lan, Yang Wang, Weilong Yang, Stephen Robinovitch and Greg Mori. Discriminative Latent Models for Recognizing Contextual Group Activities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.
  • 2011

  • Yang Wang and Greg Mori. Max-margin Latent Dirichlet Allocation for Image Classification and Annotation. British Machine Vision Conference (BMVC), 2011.
  • Zhi Feng Huang, Weilong Yang, Yang Wang and Greg Mori. Latent Boosting for Action Recognition. British Machine Vision Conference (BMVC), 2011.
  • Tian Lan, Yang Wang and Greg Mori. Discriminative Figure-Centric Models for Joint Action Localization and Recognition. IEEE International Conference on Computer Vision (ICCV), 2011.
  • Yang Wang, Duan Tran and Zicheng Liao. Learning Hierarchical Poselets for Human Parsing. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2011. project page
  • Yang Wang and Greg Mori. Hidden Part Models for Human Action Recognition: Probabilistic versus Max-Margin. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, no.7, pp1310-1323, 2011.
  • 2010

  • Yang Wang and Greg Mori. A Discriminative Latent Model of Image Region and Object Tag Correspondence. Advances in Neural Information Processing Systems (NIPS), 2010.
  • Tian Lan, Yang Wang, Weilong Yang and Greg Mori. Beyond Actions: Discriminative Models for Contextual Group Activities. Advances in Neural Information Processing Systems (NIPS), 2010. project page
  • Tian Lan, Yang Wang, Greg Mori and Stephen Robinovitch. Retrieving Actions in Group Contexts. ECCV Workshop on Sign, Gesture and Activity, 2010.
  • Yang Wang and Greg Mori. A Discriminative Latent Model of Object Classes and Attributes. The 11th European Conference on Computer Vision (ECCV), 2010.
  • Mani Ranjbar, Greg Mori and Yang Wang. Optimizing Complex Loss Functions in Structured Prediction. The 11th European Conference on Computer Vision (ECCV), 2010.
  • Weilong Yang, Yang Wang and Greg Mori. Learning Transferable Distance Functions for Human Action Recognition. Book Chapter in Machine Learning for Vision-based Motion Analysis, Springer, 2010.
  • Yang Wang. Understanding Images and Videos of People: A Structured Model Approach. VDM Verlag Dr. Muller, Germany (ISBN 978-3-639-24365-9)
  • Weilong Yang, Yang Wang and Greg Mori. Recognizing Human Actions from Still Images with Latent Poses. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2010. dataset annotation
  • 2009

  • Yang Wang, Gholamreza Haffari, Shaojun Wang and Greg Mori. A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. Advances in Neural Information Processing Systems (NIPS) 22, 2009.
  • Weilong Yang, Yang Wang and Greg Mori. Efficient Human Action Detection using a Transferable Distance Function. The 9th Asian Conference on Computer Vision (ACCV), 2009. videos
  • Weilong Yang, Yang Wang and Greg Mori. Human Action Recognition from a Single Clip per Action. ICCV Workshop on Machine Learning for Vision-based Motion Analysis, 2009.
  • Yang Wang and Greg Mori Max-Margin Hidden Conditional Random Fields for Human Action Recognition. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2009.
  • Yang Wang and Greg Mori. Human Action Recognition by Semi-Latent Topic Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, no.10, pp1762-1774 (Special Issue on Probabilistic Graphical Models in Computer Vision), 2009. project page (with dataset)
  • 2008

  • Yang Wang and Greg Mori. Learning a Discriminative Hidden Part Model for Human Action Recognition. Advances in Neural Information Processing Systems(NIPS) 21, 2008.
  • Yang Wang and Greg Mori. Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation. The 10th European Conference on Computer Vision(ECCV), 2008.
  • Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori and Feng Jiao. Boosting with Incomplete Information. The 25th International Conference on Machine Learning(ICML), 2008.
  • 2007

  • Yang Wang, Payam Sabzmeydani and Greg Mori. Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition. ICCV Workshop on Human Motion Understanding, Modeling, Capture and Animation, 2007. See our TPAMI paper for an extended version
  • Yang Wang and Greg Mori. Boosted Multiple Deformable Trees for Parsing Human Poses. ICCV Workshop on Human Motion Understanding, Modeling, Capture and Animation, 2007. See our ECCV'08 paper for an extended version
  • 2006

  • Yang Wang, Hao Jiang, Mark S. Drew, Ze-Nian Li and Greg Mori. Unsupervised Discovery of Action Classes. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2006. project page (with dataset)
  • 2005

  • Nando de Freitas, Yang Wang, Maryam Mahdaviani and Dustin Lang. Fast Krylov Methods for N-body Learning. Advances in Neural Information Processing Systems(NIPS) 18, 2005.