Publications
Conference Papers
2019
Kevin Duarte, Yogesh S Rawat, Mubarak Shah, CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019.Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah, Deep Constrained Dominant Sets for Person Re-Identification, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019. [Supplementary]
Krishna Regmi, Mubarak Shah, Bridging the Domain Gap for Ground-to-Aerial Image Matching, International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct 27-Nov 2, 2019.
Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah, An Efficient 3D CNN for Action/Object Segmentation in Video, British Machine Vision Conference (BMVC 2019), UK, Sep 9-10, 2019.
Abolghasemi, Pooya, Amir Mazaheri, Mubarak Shah, and Ladislau Boloni, Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, June 16-20, 2019. [Project Page]
Zaeemzadeh, Alireza, Joneidi, Mohsen, Rahnavard, Nazanin, Shah, Mubarak: Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, June 16-20, 2019. [Project Page]
[Back to top]
2018
P. Tirupattur, Y.S. Rawat, C. Spampinato, M. Shah, ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network, ACM Multimedia 2018, Seoul, Korea, October 22-26, 2018.A. Mazaheri and M. Shah, Visual Text Correction, in Proceedings of IEEE European Conference on Computer Vision (ECCV 2018), Munich, Germany, September 8-14, 2018.
H. Idrees, M. Tayyab, K. Athrey, D. Zhang, S. Al-Maddeed, N. Rajpoot, M. Shah, Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds, in Proceedings of IEEE European Conference on Computer Vision (ECCV 2018), Munich, Germany, September 8-14, 2018.
M. Jamal, H. Li, B. Gong, Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
Rodney LaLonde, Dong Zhang, and Mubarak Shah, ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018. [Supp.]
T. Wang, L. Zhang, S. Wang, H. Lu, X. Ruan, A. Borji, Detect Globally, Refine Locally: A Novel Approach to Saliency Detection, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
K. Regmi, A. Borji, Cross-View Image Synthesis Using Conditional GANs, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
A. Urooj, A. Borji, Analysis of Hand Segmentation in the Wild, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
W. Wang, J. Shen, F. Guo, M. Cheng, A. Borji, Revisiting Video Saliency: A Large-Scale Benchmark and a New Model, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
Y. Zeng, H. Lu, L. Zhang, M. Feng, A. Borji, Learning to Promote Saliency Detectors, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018.
Waqas Sultani, Chen Chen, Mubarak Shah, Real-world Anomaly Detection in Surveillance Videos, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018., arXiv:1801.04264 [cs.CV], [v1] Fri, 12 Jan 2018.
A. Zaeemzadeh, N. Rahnavard, M. Shah, Norm-Preservation: Why Residual Networks Can Become Extremely Deep?, Cornell University Library, arXiv:1805.07477 [cs.CV], [v1] Fri, 18 May 2018.
Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gokmen, Mustafa E. Kamasak, Mubarak Shah, Human Semantic Parsing for Person Re-identification , in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, June 18-22, 2018., arXiv:1804.00216[cs.CV] [Code] [bibtex] c
2017
I kavasidis, S. Palazzo, C. Spampinato, D. Giordano, M. Shah, Brain2Image: Converting Brain Signals into Images ACM Multimedia 25, Mountain View, CA, October 23-27, 2017.Rui Hou, Chen Chen, Mubarak Shah, Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Amir Mazaher, Dong Zhang, and Mubarak Shah, Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
S. Palazzo, C. Spampinato, I. Kavasidis, D. Giordano, M. Shah, Generative Adversarial Networks Conditioned by Brain Signals, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Khurram Soomro, Mubarak Shah, Unsupervised Action Discovery and Localization in Videos, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Nasim Souly, Concetto Spampinato, Mubarak Shah, Semi Supervised Semantic Segmentation Using Generative Adversarial Network, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji, Structure-measure: A New Way to Evaluate Foreground Maps, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Hamed R. Tavakoli, Rakshith Shetty, Ali Borji, Jorma Laaksonen, Paying Attention to Descriptions Generated by Image Captioning Models, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu, A Stagewise Refinement Model for Detecting Salient Objects in Images, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
C. Gan, Y. Li, H. Li, C. Sun, and B. Gong, VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. [extended vesrion]
Y. Zhang, P. David, and B. Gong, Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. [Supp.] [dataset and code]
Harish Ravi Prakash, Milena Korostenskaja, Eduardo Castillo, Ki Lee, James Baumgartner, Ulas Bagci, Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning, IEEE SMC 2017, Banff, Canada, October 5-8, 2017.
Aliasghar Mortazi, Rashed Karim, Kawal Rhode, Jeremy Burt, Ulas Bagci, CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN, MICCAI 2017, Quebec City, Quebec, Canada, September 10-14, 2017.
Rui Hou, Rahul Sukthankar, Mubarak Shah, Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery, BMVC 2017, London, UK, September 4-7, 2017.
Sarfaraz Hussein, Kunlin Cao, Qi Song, and Ulas Bagci, Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning, Information Processing in Medical Imaging 2017 (IPMI 2017), Boone, NC, June 25-30, 2017.
Sarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci, TumorNET: Lung Nodule Characterization using Multi-View Convolutional Neural Network with Gaussian Process, IEEE ISBI 2017, Sydney, Australia, April 18-21, 2017.
Nelisah Torosdagli, Denise Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumantha Pattanaik, Ulas Bagci, Robust and Fully Automated Segmentation of Mandible from CT Scans, IEEE ISBI 2017, Sydney, Australia, April 18-21, 2017.
Jesscia Finocchiaro, AU Khan, A Borji, Egocentric Height Estimation, WACV 2017, Santa Rosa, CA, March 27-29, 2017.
Yicong Tian, Chen Chen and Mubarak Shah, Cross-View Image Matching for Geo-localization in Urban Environments, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.
Mahdi M.Kalayeh, Boqing Gong and Mubarak Shah, Improving Facial Attribute Prediction using Semantic Segmentation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.
C Spampinato, S Palazzo, I Kavasidis, D Giordano, M Shah, N Souly, Deep Learning Human Mind for Automated Visual Classification, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.
A. Sharghi, J. Laurel, and B. Gong, Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017 [Project Page] [Supp.].
HR Tavakoli, F Ahmed, A Borji, J Laaksonen, Revisiting visual saliency evaluation: analysis of scores, mouse clicks, and contextual annotations, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.
Q Hou, MM Cheng, XW Hu, A Borji, Z Tu, P Torr, Deeply supervised salient object detection with short connections, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, July 22-25, 2017.
H. Celik, B. Turkbey, P. Choyke, R. Cheng, E. McCreedy, M. McAuliffe, N. Khosravan, U. Bagci, B. Wood, Eye Tracking System for Prostate Cancer Diagnosis Using Multi-Parametric MRI, 25th Annual Conference on ISMRM, Honolulu, Hawai'i, USA, 2017.
Mazaheri, Amir, Boqing Gong, and Mubarak Shah, Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables, Multimedia (ISM), 2016 IEEE International Symposium on. IEEE, 2016.
[Back to top]
2016
Buty, M., Z. Xu, M. Gao, U. Bagci, A. Wu, and D. Mollura, Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features, MICCAI 2016, Athens Greece, October 17-22, 2016.Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan McCreedy, Matthew McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L Choyke, Bradford J Wood, Ulas Bagci, Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation, Medical Computer Vision, MICCAI 2016, Athens Greece, October 17-22, 2016.
Bylinskii, Z., Recasens, A., Borji , A., Oliva, A., Torralba, A. & Durand, F., Where should saliency models look next?, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
S Ardeshir, A Borji, Ego2Top: Matching Viewers in Egocentric and Top-view Videos, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
C. Gan, C. Sun, L. Duan, and B. Gong, Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
A. Sharghi, B. Gong, and M. Shah, Query-Focused Extractive Video Summarization, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016. [Supp.]
W-L. Chao*, S. Changpinyo*, B. Gong, and F. Sha, An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016. (Spotlight) [Supp.]
Shayan Modiri Assari, Haroon Idrees, and Mubarak Shah, Human Re-identification in Crowd Videos using Personal, Social and Environmental Constraints, Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
M Feng, A Borji, H Lu, Fixation prediction with a combined model of bottom-up saliency and vanishing point in Proceedings of WACV 2016, Lake Placid, NY, March 7-9, 2016.
A Borji, S. Izadi, L.Itti, iLab-20M: A large-scale controlled object dataset to investigate deep learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016.
S. Changpinyo, W. Chao, B. Gong, and F. Sha, Synthesized Classifiers for Zero-Shot Learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Oral) [Supp.]
C. Gan, T. Yang, and B. Gong, Learning Attributes Equals Multi-Source Domain Generalization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Spotlight)
Khurram Soomro, Haroon Idrees and Mubarak Shah, Predicting the Where and What of actors and actions through Online Action Localization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]
Nasim Souly and Mubarak Shah, Scene Labeling Using Sparse Precision Matrix, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]
Waqas Sultani and Mubarak Shah, What if we do not have multiple videos of the same action? - Video Action Localization Using Web Images, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]
Yang Zhang, Boqing Gong and Mubarak Shah, Fast Zero-Shot Image Tagging, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]
[Back to top]
2015
S. Hussein and U. Bagci, Transferability of 3D CNN features for Organ Detection, NIPS 2015 Workshop on Machine Learning in Healthcare.Khurram Soomro, Salman Khokhar and Mubarak Shah, Tracking when the camera looks away, International Conference on Computer Vision Workshop (ICCVW), Computer Vision in Sports (CVsports), 2015.
Dong Zhang and Mubarak Shah, Human Pose Estimation in Videos, International Conference on Computer Vision (ICCV), 2015, Santaigo, Chile, December 13-16, 2015.
Khurram Soomro, Haroon Idrees, and Mubarak Shah, Action Localization in Videos through Context Walk, International Conference on Computer Vision (ICCV), 2015, Santaigo, Chile, December 13-16, 2015.
M. Gao, U. Bagci, L. Lu, A. Wu, M. Buty, H-C. Shin, H. Roth, G.Z. Papadakis, A. Depeursinge, R.M. Summers, Z. Xu, and D.J. Mollura, Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks, International Conferenc on Medical Image Computing and Computer Assisted Interventions 2015 (MICCAI 2015), Munich Germany, October 5-9, 2015.
Gonzalo Vaca-Castano and Mubarak Shah, Semantic Image Search From Multiple Query Images, in Proceedings of ACM Multimedia Conference 2015 (ACMMM 2015), Brisbane, Australia, October 26-30, 2015. [Presentation]
Mahdi M. Kalayeh, Misrak Seifu, Wesna LaLanne, Mubarak Shah, How to Take a Good Selfie?, in Proceedings of ACM Multimedia Conference 2015 (ACMMM 2015), Brisbane, Australia, October 26-30, 2015
U. Bagci, GZ Papadakis, Z.Xu, A. Green, M. Osman, M. Shah, "Nuclear Medicine Meets Computer Vision: Increasing Role of Computerized Detection, Tracking, Diagnosis, and Quantification of PET/CT and PET/MRI Studies", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.
A. Green, U. Bagci, PV. Kelly, M. Osman, "Brown adipose tissue detected by FDG PET/CT is associated with less central obesity compared to body mass index matched controls", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.
A. Green, U. Bagci, PV. Kelly, M. Osman, "Brown Adipose Tissue Detected by FDG PET/CT is Associated with Less Visceral Fat", SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.
Z.Xu, U. Bagci, M. Gao, DJ Mollura (2015). "Improved PET image quantification via iterative denoising and partial volume correction". SNMMI (Society of Nuclear Medicine and Molecular Imaging) Conference 2015.
Afshin Dehghan, Yicong Tian, Philip. H. S. Torr and Mubarak Shah, Target Identity-aware Network Flow for Online Multiple Target Tracking, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015 [Video of Presentation]
Afshin Dehghan, Shayan Modiri Assari and Mubarak Shah, GMMCP-Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015 [Project Page] [Video of Presentation]
Shervin Ardeshir, Kofi Malcolm Collins-Sibley, Mubarak Shah, Geo-semantic Segmentation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts, June 8-12, 2015. [Project Page] [Video of Presentation]
Z.Xu, Ulas Bagci, M. Gao, D.J. Mollura, Highly Precise Partial Volume Correction for PET Images: An Iterative Approach via Shape Consistency, IEEE International Symposium of Biomedical Imaging (ISBI), April 16-19, New York, 2015.
[Back to top]
2014
Ehsan Zare Borzeshi, Afshin Dehghan, Massimo Piccardi, Mubarak Shah, Complex Event Recognition by Latent Temporal Models of Concepts, ICIP 2014, Paris, France, October 27-30, 2014.Yang Yang, Mubarak Shah, Learning Discriminative Features and Metrics for Measuring Action Similarity, ICIP 2014, Paris, France, October 27-30, 2014.
Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah, DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.
Shervin Ardeshir, Amir Roshan Zamir, Alejandro Torroella, Mubarak Shah, GIS-Assisted Object Detection and Geospatial Localization, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.
Dong Zhang, Omar Javed, Mubarak Shah, Video Object Co-Segmentation by Regulated Maximum Weight Cliques, ECCV 2014, Zurich, Switzerland, September 6-12, 2014.
Amir Roshan Zamir, Shervin Ardeshir, Mubarak Shah, GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video] [Video of Presentation]
Shayan Modiri Assari, Amir Roshan Zamir, Mubarak Shah, Video Classification using Semantic Concept Co-occurrences, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]
Subhabrata Bhattacharya, Mahdi M. Kalayeh, Rahul Sukthankar, Mubarak Shah, Recognition of Complex Events exploiting Temporal Dynamics between Underlying Concepts, CVPR 2014, Columbus, Ohio, June 23-28, 2014 (Oral). [TechTalks]
Afshin Dehghan, Haroon Idrees, Mubarak Shah, Improving Semantic Concept Detection through the Dictionary of Visually-distinct Elements, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]
Afshin Dehghan, Enrique G. Ortiz, Ruben Villegas, Mubarak Shah, Who Do I Look Like? Determining Parent-Offspring Resemblance via Genetic Features, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video] [Video of Presentation]
Mahdi M. Kalayeh, Haroon Idrees, Mubarak Shah, NMF-KNN: Image Annotation using Weighted Multi-View Non-Negative Matrix Factorization, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]
Waqas Sultani, Imran Saleemi, Human Action Recognition across Datasets by Foreground-weighted Histogram Decomposition, CVPR 2014, Columbus, Ohio, June 23-28, 2014. [Spotlight Video]
[Back to top]
2013
Amir Roshan Zamir, Afshin Dehghan, Mubarak Shah, Visual Business Recognition - A Multimodal Approach, ACM Multimedia 2013, Barcelona, Spain, November 2013. [Video of Presentation] [Project Page]Subhabrata Bhattacharya, Recognition of Complex Events in Open-Source Web-Scale Videos: A Bottom up approach, ACM Multimedia 2013 Doctoral Symposium, Barcelona, Spain, November 2013.
Subhabrata Bhattacharya, Behnaz Nojavanasghari, Tao Chen, Dong Liu, Shih-Fu Chang, and, Mubarak Shah,, Towards a Comprehensive Computational Model for Aesthetic Assessment of Videos, ACM Multimedia 2013 Grand Challenge, Barcelona, Spain, November 2013.
Guang Shu, Afshin Dehghan, Mubarak Shah, Improving an Object Detector and Extracting Regions using Superpixels, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Spotlight Presentation]
Yang Yang, Guang Shu, Mubarak Shah, Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.
Yicong Tian, Rahul Sukthankar, Mubarak Shah, Spatiotemporal Deformable Part Models for Action Detection, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Video of Presentation]
Haroon Idrees, Imran Saleemi, Cody Seibert, Mubarak Shah, Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. [Spotlight Presentation]
Dong Zhang, Omar Javed, Mubarak Shah, Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013. (Oral)
Enrique G. Ortiz, Alan Wright, Mubarak Shah, Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-based Classification, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.
Omar Oreifej and Zicheng Liu, HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences, Computer Vision and Pattern Recognition 2013, Portland, Oregon, June 23-28, 2013.
[Back to top]
2012
Haroon Idrees, Imran Saleemi and Mubarak Shah, Statistical Inference of Motion in the Invisible, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]Soumyabrata Dey, Vladimir Reilly, Imran Saleemi and Mubarak Shah, Detection of Independently Moving Objects in Non-planar Scenes via Multi-Frame Monocular Epipolar Constraint, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]
Hamid Izadinia and Mubarak Shah, Recognizing Complex Events using Large Margin Joint Low-Level Event Model, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]
Hamid Izadinia, Imran Saleemi, Wenhui Li and Mubarak Shah, (MP)2T: Multiple People Multiple Parts Tracker, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]
Amir Roshan Zamir, Afshin Dehghan and Mubarak Shah, GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]
Yang Yang and Mubarak Shah, Complex Events Detection using Data-driven Concepts, European Conference on Computer Vision 2012, Florence, Italy, October 7-13, 2012. [Video of Presentation]
Gonzalo Vaca-Castano, Amir Roshan Zamir and Mubarak Shah, City Scale Geo-Spatial Trajectory Estimation of a Moving Camera, Computer Vision and Pattern Recognition 2012, Providence, RI, June 16-21, 2012.
Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Hand and Mubarak Shah, Part-based Multiple-Person Tracking with Partial Occlusion Handling, Computer Vision and Pattern Recognition 2012, Providence, RI, June 16-21, 2012.
Afshin Dehghan, Haroon Idrees, Amir Roshan Zamir and Mubarak Shah, Keynote: Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities, 6th International Conference on Pedestrian and Evacuation Dynamics, Zurich, Switzerland, June 6-8, 2012.
Kishore K. Reddy, Berkan Solmaz, Pingkun Yan, Nicholas G. Avgeropoulos, David J. Rippe and Mubarak Shah, Confidence Guided Enhancing Brain Tumor Segmentation in Multi-Parametric MRI, International Symposium on Biomedical Imaging (ISBI), April 2012.
Corey McCall, Kishore Reddy and Mubarak Shah, Macro-Class Selection for Hierarchical K-NN Classification of Inertial Sensor Data, Second International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2012, February 24-26, 2012, Rome, Italy.
Berkan Solmaz, Soumyabrata Dey, Ravishankar Rao, Mubarak Shah, ADHD classification using bag of words approach on network features, SPIE Medical Imaging Conference, San Diego, 4 - 9 February 2012.
[Back to top]
2011
Amir Roshan Zamir, Alexander Darino, Ryan Patrick, and Mubarak Shah Street View Challenge: Identification of Commercial Entities in Street View Imagery, The Tenth International Conference on Machine Learning and Applications, Honolulu, HI, December 18-21, 2011.P. Natarajan et al. BBN VISER TRECVID 2011 Multimedia Event Detection System. In NIST TRECVID Workshop, Gaithersburg, MD, December 2011.
Shandong Wu, Omar Oreifej, and Mubarak Shah, Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories, International Conference on Computer Vision, November 2011, Barcelona, Spain.
Salman Khokhar, Imran Saleemi, and Mubarak Shah, Statistical Event Representation and Similarity Invariant Classification by KL Divergence Minimization, International Conference on Computer Vision, November 2011, Barcelona, Spain.
Jingen Liu, Mubarak Shah, Benjamin Kuipers, and Silvio Savarese, Cross-View Action Recognition via View Knowledge Transfer, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011. (Oral)
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, and Mita Desai, A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.
Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak Shah, A Two-Stage Reconstruction Approach for Seeing Through Water, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.
Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, and Mubarak Shah, A Probabilistic Representation for Efficient Large Scale Visual Recognition Tasks, IEEE Conference on Computer Vision and Pattern Recognition 2011, Colorado Springs, CO, USA, June 21-25, 2011.
[Back to top]
2010
Subhabrata Bhattacharya, Rahul Sukthankar, and Mubarak Shah, A Coherent Framework for Photo-Quality Assessment and Enhancement based on Visual Aesthetics, full paper in ACM Multimedia International conference (17% acceptance rate), Florence 2010. (Winner of Travel grant, Nominated for best paper award).Ramin Mehran, Brian Moore, Mubarak Shah, A Streakline Representation of Flow in Crowded Scenes, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.
Amir Roshan Zamir and Mubarak Shah, Accurate Image Localization Based on Google Maps Street View (This version contains minor typographical corrections over the version published in the ECCV10 proceedings), European Conference on Computer Vision (ECCV), Crete, Greece, 2010. (Received ECCV travel grant for this paper)
Vladimir Reilly, Berkan Solmaz, Mubarak Shah, Geometric Constraints for Human Detection in Aerial Imagery, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.
Vladimir Reilly, Haroon Idrees, Mubarak Shah,Detection and Tracking of Large Number of Targets in Wide Area Surveillance, European Conference on Computer Vision (ECCV), Crete, Greece, 2010.
Omar Oreifej, Ramin Mehran, and Mubarak Shah, Human Identity Recognition in Aerial Images, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.
Mikel Rodriguez, CRAM: Compact Representation of Actions in Movies, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.
Imran Saleemi, Lance Hartung, and Mubarak Shah, Scene Understanding by Statistical Modeling of Motion Patterns, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.
Shandong Wu, Brian Moore, and Mubarak Shah, Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes, IEEE Conference on Computer Vision and Pattern Recognition 2010, San Francisco, CA.
[Back to top]
2009
Naveed Imran, Jingen Liu, Jiebo Luo, and Mubarak Shah, Event recognition from photo collections via PageRank, 17th ACM international conference on Multimedia, October 2009.Yang Yang, Jingen Liu, and Mubarak Shah, Video Scene Understanding Using Multi-scale Analysis, International Conference on Computer Vision, September 2009.
Mikel Rodriguez, Saad Ali and Takeo Kanade, Tracking in Unstructured Crowded Scenes, International Conference on Computer Vision, September 2009.
Arslan Basharat and Mubarak Shah, Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems, International Conference on Computer Vision, September 2009.
Kishore Reddy, Jingen Liu, and Mubarak Shah, Incremental Action Recognition Using Feature-Tree, International Conference on Computer Vision, September 2009.
Ramin Mehran, Alexis Oyama and Mubarak Shah, Abnormal Crowd Behavior Detection using Social Force Model, IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.
Jingen Liu, Jiebo Luo and Mubarak Shah, Recognizing Realistic Actions from Videos, Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.
Jingen Liu, Yang Yang and Mubarak Shah, Learning Semantic Visual Vocabularies Using Diffusion Distance, IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009.
[Back to top]
2008
Jun Xie, Min Hu, and Mubarak Shah, Unfolding Warping for Object Recognition, International Conference on Pattern Recognition, December 2008.Min Hu, Saad Ali and Mubarak Shah, Learning Motion Patterns in Crowded Scenes Using Motion Flow Field, International Conference on Pattern Recognition, December 2008.
Min Hu, Saad Ali, and mubarak Shah, Detecting Global Motion Patterns in Complex Videos, International Conference on Pattern Recognition, December 2008.
Saad Ali and Mubarak Shah, Floor Fields for Tracking in High Density Crowded Scenes, European Conference on Computer Vision, Marseille, France, October 12-18, 2008.
Jun Xie, Shahid Khan, and Mubarak Shah, Automatic Tracking of Escherichia Coli Bacteria, 11th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI, September 6-10, New York City. 2008.
Andrew Miller, Mubarak Shah, and Don Harper, Landing a UAV on a Runway Using Image Registration, International Conference on Robotics & Automation, 2008.
Pingkun Yan, Saad M. Khan, and Mubarak Shah, Learning 4D Action Feature Models for Arbitrary View Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Jingen Liu, Saad Ali, and Mubarak Shah, Recognizing Human Actions Using Multiple Features, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Arslan Basharat, Alexei Gritai, and Mubarak Shah, Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Yusuf Aytar, Mubarak Shah, and Jiebo Luo, Utilizing Semantic Word Similarity Measures for Video Retrieval, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Jingen Liu, and Mubarak Shah, Learning Human Actions via Information Maximization, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Saad M. Khan, and Mubarak Shah, Reconstructing Non-stationary Articulated Objects in Monocular Video using Silhouette Information, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Mikel D. Rodriguez, Javed Ahmed, and Mubarak Shah, Action MACH: A Spatio-temporal Maximum Average Correlation Height Filter for Action Recognition, IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska 2008.
Mikel D. Rodriguez and Mubarak Shah, Visual Surveillance in Maritime Port Facilities, SPIE Defense and Security Symposium, Orlando, Florida, 2008.
[Back to top]
2007
Martin Schiavenato, Jacqueline Byers, Paul Scovanner, Piotr Windyga, and Mubarak Shah Is there a Primal Face of Pain? A methodology answer, Proceedings of the 29th Annual International Conference of the IEEE EMBS, Cite Internationale, Lyon, France, August 23-26, 2007.Saad M. Khan, Pingkun Yan, and Mubarak Shah, A Homographic Framework for the Fusion of Multi-view Silhouettes, ICCV 2007, Rio de Janeiro, Brazil.
Pingkun Yan, Saad M. Khan, and Mubarak Shah, 3D Model based Object Class Detection in an Arbitrary View, ICCV 2007, Rio de Janeiro, Brazil.
Jingen Liu and Mubarak Shah, Scene Modeling Using Co-clustering, ICCV 2007, Rio de Janeiro, Brazil.
Saad Ali, Arslan Basharat, and Mubarak Shah, Chaotic Invariants for Human Action Recognition, ICCV 2007, Rio de Janeiro, Brazil.
Paul Scovanner, Saad Ali, and Mubarak Shah, A 3-Dimensional SIFT Descriptor and its Application to Action Recognition, ACM MM 2007.
Mikel D. Rodriguez, and Mubarak Shah, Detecting and Segmenting Humans in Crowded Scenes, ACM MM 2007.
Yaser Sheikh, Asad Hakeem, and Mubarak Shah On the Direct Estimation of the Fundamental Matrix, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.
Yaser Sheikh, Xin Li, and Mubarak Shah Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.
Yaser Sheikh, Alexei Gritai, and Mubarak Shah On the Spacetime Geometry of Galilean Cameras, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.
Saad Ali, Vladimir Reilly, and Mubarak Shah Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Video, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.
Saad Ali and Mubarak Shah A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, USA 2007.
Javed Ahmed, Mubarak Shah, Andrew Miller, Don Harper, and M.N. Jafri, A Vision-Based System for a UGV to Handle a Road Intersection, AAAI 2007.
Andrew Miller and Mubarak Shah Foreground Segmentation in Surveillance Scenes Containing a Door, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.
Brandyn White and Mubarak Shah Automatically Tuning Background Subtraction Parameters Using Particle Swarm Optimization, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.
Yusuf Aytar, Omer Bilal Orhan and Mubarak Shah Improving Semantic Concept Detection and Retrieval Using Contextual Estimates, IEEE International Conference on Multimedia & Expo, Beijing, China 2007.
[Back to top]
2006
Asaad Hakeem, Roberto Vezzani, Mubarak Shah, and Rita Cucchiara, Estimating Geospatial Trajectory of a Moving Camera, ICPR 2006.Saad Ali and Mubarak Shah, COCOA - Tracking in Aerial Imagery, SPIE Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando, 2006.
Jingen Liu, Yun Zhai, and Mubarak Shah, PEGASUS: an information mining system for TV news videos, SPIE Defense and Security Symposium, Orlando, Florida, May, 2006.
Yun Zhai, Mubarak Shah, Visual Attention Detection in Video Sequences Using Spatiotemporal Cues, ACM MM 2006, Santa Barbara, CA, USA.
Humera Noor, Shahid H. Mirza,Yaser Sheikh, Amit Jain, Mubarak Shah, Model Generation for Video based Object Recognition, ACM MM 2006, Santa Barbara, CA, USA.
Yaser Sheikh, Niels Haering, Mubarak Shah, Shape from Dynamic Texture for Planes, IEEE Conference on Computer Vision and Pattern Recognition, New York, USA 2006.
Fahd Rafi, Saad M. Khan, Khurram Shafiq, Mubarak Shah. Autonomous Target Following by Unmanned Aerial Vehicles, SPIE Defence and Security Symposium 2006, Orlando FL.
Alexei Gritai, Mubarak Shah, Tracking of Human Body Joints Using Anthropometry, International Conference of Multimedia and Expo, Toronto, Canada, 2006.
Yun Zhai, Jingen Liu, Mubarak Shah, Automatic Query Expansion In News Video Retrieval, International Conference of Multimedia and Expo, Toronto, Canada, 2006.
Saad M. Khan, Fahd Rafi, Mubarak Shah, Where was the picture taken: Image Localization in Route Panoramas using Epipolar Geometry, International Conference of Multimedia and Expo, Toronto, Canada, 2006.
Saad M. Khan, Mubarak Shah, A Multiview Approach to Tracking People in Crowded Scenes using a Planar Homography Constraint, European Conference of Computer Vision 2006.
[Back to top]
2005
Yun Zhai and Mubarak Shah, Tracking News Stories Across Different Sources, ACM Multimedia 2005, Singapore, November 6-12.Saad M. Khan and Mubarak Shah, Detecting Group Activities Using Rigidity of Formation, ACM Multimedia 2005, Singapore, November 6-12.
Yun Zhai and Mubarak Shah, Determining Structure in Continuously Recorded Videos, ACM Multimedia 2005, Singapore, November 6-12.
Mubarak Shah, Recognizing Human Actions, Third ACM International Workshop on Video Surveillance & Sensor Networks, November 2005.
Asaad Hakeem, Khurram Shafique, and Mubarak Shah, Object-based Video Coding Framework for Static Camera Videos, ACM Multimedia 2005, Singapore, November 6-12.
Yun Zhai, Alper Yilmaz, and Mubarak Shah, Story Segmentation in News Videos Using Visual and Text Cues, International Conference on Image and Video Retrieval (CIVR), pp. 92-102, 2005.
Yun Zhai and Mubarak Shah, A General Framework for Temporal Video Scene Segmentation, IEEE ICCV 2005, Beijing, China, October 15-21.
Paul Smith, Niels da Vitoria Lobo, and Mubarak Shah, Temporal Boost for Event Recognition, IEEE ICCV 2005, Beijing, China, October 15-21.
Alper Yilmaz and Mubarak Shah, Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras, IEEE ICCV 2005, Beijing, China, October 15-21.
Saad Ali and Mubarak Shah, A Supervised Learning Framework for Generic Object Detection in Images, IEEE ICCV 2005, Beijing, China, October 15-21.
Yaser Sheikh and Mubarak Shah, Object Tracking Across Multiple Independently Moving Cameras, IEEE ICCV 2005, Beijing, China, October 15-21.
Yaser Sheikh and Mubarak Shah, Exploring the Space of a Human Action, IEEE ICCV 2005, Beijing, China, October 15-21.
Pingkun Yan, Weijia Shen, Ashraf A. Kassim, and Mubarak Shah, Segmentation of Neighboring Organs in Medical Image with Model Competition, 8th International Conference on Medical Image Computing and Computer Assisted Intervention, Palm Springs, California, USA October 26-29, 2005.
Asaad Hakeem and Mubarak Shah, Multiple Agent Event Detection and Representation in Videos, The Twentieth National Conference on Artificial Intelligence (AAAI), 2005.
Orkun Alatas, Omar Javed and Mubarak Shah, Video Compression Using Structural Flow, IEEE International Conference on Image Processing, Genova, September 2005.
Yun Zhai, Jingen Liu, Xiaochun Cao, Arslan Basharat, Asaad Hakeem, Saad Ali, Mubarak Shah, Costantino Grana and Rita Cucchiarra, Video Understanding and Content-Based Retrieval, TREC Video Retrieval Evaluation Forum (TRECVID), Gaithersburg, Maryland, 2005.
Yun Zhai and Mubarak Shah, A Multi-Level Framework for Video Shot Structuring, International Conference on Image Analysis and Recognition (ICIAR), Toronto, Canada, 2005.
Yun Zhai and Mubarak Shah, Automatic Segmentation of Home Videos, IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, Netherlands, 2005.
Saad Ali and Mubarak Shah, An Integrated Approach for Generic Object Detection Using Kernel PCA and Boosting, IEEE International Conference on Multimedia and Expo 2005, Amsterdam, July 3-6.
Yaser Sheikh and Mubarak Shah, Bayesian Object Detection in Dynamic Scenes, IEEE CVPR 2005, San Diego, June 20-26.
Omar Javed, Khurram Shafique, and Mubarak Shah, Appearance Modeling for Tracking in Multiple Non-overlapping Cameras, IEEE CVPR 2005, San Diego, June 20-26.
Alper Yilmaz and Mubarak Shah, Actions As Objects: A Novel Action Representation, IEEE CVPR 2005, San Diego, June 20-26.
Omar Javed, Saad Ali, and Mubarak Shah, Online Detection and Classification of Moving Objects Using Progressively Improving Detectors, IEEE CVPR 2005, San Diego, June 20-26.
Jiangjian Xiao and Mubarak Shah, Accurate Motion Layer Segmentation and Matting, IEEE CVPR 2005, San Diego, June 20-26.
Xiaochun Cao and Mubarak Shah, Camera Calibration and Light Source Orientation Estimation from Images with Shadows, IEEE CVPR 2005, San Diego, June 20-26.
D. Batz, M. Batz, N. da Vitoria Lobo, and M. Shah, Visual System for Monitoring Medication Intake, in Procs. Canadian Conference on Computer and Robot Vision, Victoria, B.C., May 2005.
J. Garcia, N. da Vitoria Lobo, M. Shah, and J. Feinstein, Finding Heads in Single Images, in Procs. Canadian Conference on Computer and Robot Vision, Victoria, B.C., May 2005.
Arslan Basharat, Necati Catbas, and Mubarak Shah, A Framework for Intelligent Sensor Network with Video Camera for Structural Health Monitoring of Bridges, First International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS'05) in affiliation with Third IEEE International Conference on Pervasive Computing and Communications, Kauai Island, Hawaii, March 8-12, 2005.
Yunjun Zhang, Jiangjian Xiao, and Mubarak Shah, Motion Layer Based Object Removal in Videos, IEEE Workshop on Application on Computer Vision, Breckenridge, Colorado, January 5-6, 2005.
Xiaochun Cao and Mubarak Shah, Shadow Construction in Object Transfer, IEEE Workshop on Application on Computer Vision, Breckenridge, Colorado, January 5-6, 2005.
Jiangjian Xiao, Yunjun Zhang, and Mubarak Shah, Adaptive Region-Based Video Registration, IEEE Workshop on Motion, Breckenridge, Colorado, January 5-6, 2005.
[Back to top]
2004
Yun Zhai, Xiaochun Cao, Yunjun Zhang, Omar Javed, Alper Yilmaz, Fahd Rafi, Saad Ali, Orkun Alatas, Saad Khan, and Mubarak Shah, University of Central Florida at TRECVID 2004, TRECVID 2004.Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, A Framework for Semantic Classification of Scenes Using Finite State Machines, Oral presentation in the International Conference on Image and Video Retrieval, Dublin, Ireland, July 21-23, 2004.
Yunjun Zhang, Jiangjian Xiao, and Mubarak Shah, Object Removal in Single Image, Proceedings of EUROGRAPHICS, Grenoble, France, August 30 - September 3, 2004.
Michael Wells, Niels da Vitoria Lobo, and Mubarak Shah, Automatic Visual Tracking for Analysis of Lifting, Irish Machine Vision and Image Processing Conference, Dublin, Ireland, September 1-3, 2004.
Omar Javed, Mubarak Shah, and Dorin Comaniciu, A Probabilitic Framework for Object Recognition in Video, International Conference on Image Processing, 2004.
Khurram Shafique and Mubarak Shah, Estimation of the Radiometric Response Functions of a Color Camera from Differently Illuminated Images, International Conference on Image Processing, 2004.
Lisa Spencer and Mubarak Shah, Water Video Analysis, International Conference on Image Processing, 2004.
Yaser Sheikh, Yun Zhai, Khurram Hassan Shafique, and Mubarak Shah, Visual Monitoring of Railroad Grade Crossing, SPIE Conferences, Orlando, USA, April 13-15, 2004.
Abhijit Mahalanobis, Jamie Cannon, S. Robert Stanfill, Robert Muise, and Mubarak Shah, Network Video Image Processing for Security, Surveillance, and Situational Awareness, Keynote at SPIE conference of Digital Wireless Communication VI, Orlando, USA, April 12-13, 2004.
Alexei Gritai, Yaser Sheikh, and Mubarak Shah, On the Invariant Analysis of Human Actions, 17th conference of the International Conference on Pattern Recognition, 2004.
Imran Junejo, Omar Javed, and Mubarak Shah, Multi Feature Path Modeling for Video Surveillance, 17th conference of the International Conference on Pattern Recognition, 2004.
Orkun Alatas, Omar Javed, and Mubarak Shah, Compressed Spatio-temporal Descriptors for Video Matching and Retrieval, 17th conference of the International Conference on Pattern Recognition, 2004.
Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, Conversation Detection in Feature Films Using Finite State Machines, 17th conference of the International Conference on Pattern Recognition, 2004.
Asaad Hakeem and Mubarak Shah, Ontology and Taxonomy Collaborated Framework for Meeting Classification, 17th conference of the International Conference on Pattern Recognition, 2004.
Asaad Hakeem, Yaser Sheikh, and Mubarak Shah, CASEE: A Hierarchical Event Representation for the Analysis of Videos, The Nineteenth National Conference on Artificial Intelligence (AAAI), 2004.
Jiangjian Xiao and Mubarak Shah, Motion Layer Extraction in the Presence of Occlusion using Graph Cut, Oral presentation, Proceedings of Computer Vision and Pattern Recognition, 2004.
Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Integrating and Employing Multiple Levels of Zoom for Activity Recognition, Proceedings of Computer Vision and Pattern Recognition, 2004.
Jiangjian Xiao and Mubarak Shah, Automatic Target Recognition Using Multi-View Morphing, Conferences of SPIE Automatic Target Recognition XIV, Orlando, USA, April 13-15, 2004.
Yaser Sheikh, Yun Zhai, Mubarak Shah, An Accumulative Framework for Alignment of An Image Sequence, Proceedings of Asian Conference on Computer Vision, Korea, 2004.
Yaser Sheikh and Mubarak Shah, Aligning Dissimilar Images, Proceedings of Asian Conf. on Computer Vision, 2004.
Lisa Spencer and Mubarak Shah, Temporal Synchronization from Camera Motion, Proceedings of Asian Conference on Computer Vision, Korea, 2004.
Alper Yilmaz, Xin Li, and M. Shah, Contour Based Object Tracking Using Level Sets, Proceedings of Asian Conference on Computer Vision, Korea, 2004.
[Back to top]
2003
Yun Zhai, Zeeshan Rasheed, and Mubarak Shah, University of Central Florida at TRECVID 2003, TRECVID 2003.Zeeshan Rasheed, Yaser Sheikh, and Mubarak Shah, Semantic Film Preview Classification Using Low-Level Computable Features, 3rd International Workshop on Multimedia Data and Document Engineering (MDDE-2003), Berlin, Germany, September 8, 2003.
Jiangjian Xiao and Mubarak Shah, From Images to Video: View Morphing of Three Images, Vision, Modeling, and Visualization 2003 (VMV2003), Munich, Germany, Novemeber 19-21, 2003.
Cen Rao, Mubarak Shah, and Tanveer Syeda-Mahmood, Invariance in Motion Analysis of Videos, ACM Multimedia 2003, Berkeley, CA, USA, November 2-8, 2003.
Omar Javed, Zeeshan Rasheed, Khurram Shafique, and Mubarak Shah, Tracking Across Multiple Cameras With Disjoint Views, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.
Khurram Shafique and Mubarak Shah, A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.
Jiangjian Xiao and Mubarak Shah, Two-FrameWide Baseline Matching, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.
Cen Rao, Alexei Gritai, Mubarak Shah, and Tanveer Syeda-Mahmood, View-invariant Alignment and Matching of Video Sequences, The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.
Zeeshan Rasheed and Mubarak Shah, A Graph Theoretic Approach for Scene Detection in Produced Videos, Multimedia Information Retrieval Workshop 2003, in conjunction with the 26th annual ACM SIGIR conference on Information Retrieval, Aug 1, Toronto, Canada, 2003.
Omar Javed, Zeeshan Rasheed, Orkun Alatas and Mubarak Shah, KNIGHTM: A Real Time Surveillance System for Multiple Overlapping and Non-Overlapping Cameras, The fourth International Conference on Multimedia and Expo (ICME 2003), Baltimore, Maryland, 2003.
Omar Javed and Mubarak Shah, KNIGHTM: A Multi-Camera Surveillance System, ONDCP International Technology Symposium, 2003.
Rasheed Z and Shah M. Scene Detection In Hollywood Movies and TV Shows, Oral presentation in IEEE Computer Vision and Pattern Recognition Conference, Madison, Wisconsin, June 16-22, 2003.
[Back to top]
2002
Alper Yilmaz and Mubarak Shah, Estimation of Arbitrary Albedo and Shape from Shading for Symmetric Objects, British Machine Vision Conference, England, pp. 728-736, 2002.Jiangjian Xiao, Cen Rao, and Mubarak Shah, View Interpolation for Dynamic Scenes, Proceedings of EUROGRAPHICS, Germany, 2002.
Alper Yilmaz, Khurram Hassan-Shafique, and Mubarak Shah, Estimation of Rigid and Non-rigid Facial Motion using Anatomical Face Model, IEEE International Conference on Pattern Recognition, Canada, 2002.
Zeeshan Rasheed and Mubarak Shah, Movie Genre Classification By Exploiting Audio-Visual Features,IEEE International Conference on Pattern Recognition, Canada, 2002.
Omar Javed and Mubarak Shah, Tracking And Object Classification For Automated Surveillance, The seventh European Conference on Computer Vision, Denmark, 2002.
Jaime Dever, Niels da Vitoria Lobo, and Mubarak Shah, Automatic Visual Recognition of Armed Robbery, IEEE International Conference on Pattern Recognition, Canada, 2002.
Ankur Datta, Mubarak Shah, and Niels Da Vitoria Lobo, Person-on-Person Violence Detection in Video Data, IEEE International Conference on Pattern Recognition, Canada, 2002.
Richard Russo, Niels da Vitoria Lobo, and Mubarak Shah, A Computer Vision System for Monitoring Production of Fast Food, Asian Conference on Computer Vision, Australia, Jan<
uary 2002.
Alper Yilmaz and Mubarak Shah, Automatic Feature Detection and Pose Recovery for Faces, Asian Conference on Computer Vision, Australia, Jan 2002.
Omar Javed, Khurram Shafique, and Mubarak Shah, A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information, IEEE Workshop on Motion and Video Computing, Orlando, December 5-6, 2002.
[Back to top]
2001
Cen Rao and Mubarak Shah, View Invariance in Action Recognition, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2001, Kauai, Hawaii, December 11-13, 2001.Sohaib Khan and Mubarak Shah, Object Based Segmentation of Video Using Color, Motion and Spatial Information, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2001, Kauai, Hawaii, December 11-13, 2001.
Sohaib Khan, Omar Javed, Zeeshan Rasheed, and Mubarak Shah, Human Tracking in Multiple Cameras, The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.
Omar Javed, Zeeshan Rasheed, and Mubarak Shah, A Framework for Segmentation of Talk & Game Shows, The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.
Alper Yilmaz, Khurram Hassan-Shafique, Mubarak Shah, and Niels da Vitoria Lobo, Target-Tracking in FLIR Imagery Using Mean-Shift and Global Motion Compensation, Workshop on Computer Vision Beyond the Visible Spectrum, with CVPR 2001, Kauai, Hawaii, December 14, 2001.
Sohaib Khan, Omar Javed, and Mubarak Shah, Tracking in Uncalibrated Cameras with Overlapping Field of View, Performance Evaluation of Tracking and Surveillance PETS 2001, (with CVPR 2001), Kauai, Hawaii, December 9, 2001
[Back to top]
2000
Cen Rao and Mubarak Shah, A View-Invariant Representation of Human Action, International Conference on Control, Automation, Robotics and Vision, Singapore, December 5-8, 2000.Alper Yilmaz and Mubarak Shah, Shot Detection using Principle Coordinate System, IASTED Int'l Conf, Internet and Multimedia Systems and Applications, IMSA 2000 Las Vegas, November 20-23, 2000.
Omar Javed, Sohaib Khan, Zeeshan Rasheed, and Mubarak Shah, A Framework for Segmentation of Interview Videos, IASTED Int'l Conf, Internet and Multimedia Systems and Applications, Las Vegas, November 20-23, 2000.
Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, Monitoring Head/Eye Motion for Driver Alertness with One Camera, Fifteenth IEEE International Conference on Pattern Recognition, Barcelona, Spain, September 3-8, 2000.
M. Wallick, N. da Vitoria Lobo, and Mubarak Shah, Computer Vision Framework for Analyzing Projections from Video of Lectures, ISCA 9th International Conference for Intelligent Systems, Louisville, KY, June 2000.
Andrew Wu, Mubarak Shah, and Niels da Vitoria Lobo, A Virtual 3D Blackboard: 3D Finger Tracking using a single camera, FG'2000 Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, March 26-30, 2000.
Sohaib Khan and Mubarak Shah, Tracking People in Presence of Occlusion Asian Conference on Computer Vision, Taipei, Taiwan, January 2000.
Niels Haering, Niels da Vitoria Lobo, Richard Qian, and Ibrahim Sezan, A Framework for Designing Event Detectors, Asian Conference on Computer Vision, 2000.
Omar Javed, Sohaib Khan, Zeeshan Rasheed, and Mubarak Shah, Camera Handoff: Tracking in Multiple Uncalibrated Stationary Cameras, IEEE Workshop on Human Motion, HUMO-2000, Austin, TX, December 7-8, 2000.
Walter Phillips III, Mubarak Shah, and Niels da Vitoria Lobo, Flame Detection in Video , Workshop on Applications of Computer Vision, Palm Springs, CA, December 4-6, 2000.
Richard W. Cannata, Mubarak Shah, Steven G. Blask, and John A. Van Workum, Autonomous Video Registration Using Sensor Model Parameter Adjustments, Applied Imagery Pattern Recognition Workshop (AIPR) 2000, Cosmos Club, Washington D.C., October 16-18, 2000.
[Back to top]
1999
Niels Haering, Richard Qian, and Ibrahim Sezan, Detecting Hunts in Wildlife Documentaries, International Conference on Multimedia Computing and Systems, 1999.Richard Qian, Niels Haering, and Ibrahim Sezan, A Computational Approach to Semantic Event Detection, Computer Vision and Pattern Recognition, 1999.
[Back to top]
1998
Douglas Ayers and Mubarak Shah, Monitoring Human Behavior in an Office Environment, Workshop on Applications of Computer Vision, 1998.Shawn Dettmer, Avinash Seetharamaiah, Li Nan, Lin Wang, and Mubarak Shah, Model-Based Approach for Recognizing Human Activities From Video Sequences, NSF Workshop on recent Advances in Computer Vision, 1998.
[Back to top]
1997
Niels Haering, Zarina Myles, and Niels da Vitoria Lobo, Locating Deciduous Trees Content-Based Access of Images in Video Library, 1997.[Back to top]
1996
Robert G. Uhl Jr. and Niels da Vitoria Lobo, A Framework for Recognizing a Facial Image from a Police Sketch, Computer Vision and Pattern Recognition, pp.586-593, 1996.Zarina Myles and Niels da Vitoria Lobo, Recovering Affine Motion and Defocus Blur Simultaneously, Computer Vision and Pattern Recognition, pp. 756-763, 1996.
[Back to top]
1995
George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, and Mubarak Shah, Learning Geometric Hashing Functions for Model-Based Object Recognition, International Conference on Computer Vision, pp. 543-548, 1995.Howard B. Mall and Niels da Vitoria Lobo, Determining Wet Surfaces from Dry, International Conference on Computer Vision, pp. 963-968, 1995.
Li Nan, Shawn Dettmer, and Mubarak Shah, Visual Lipreading Using Eigen sequences, International Workshop on face and Gesture Recognition, 1995.
[Back to top]
1994
Ping-sing Tsai, Mubarak Shah, Katharine Keiter, and Takis Kasparis, Cyclic Motion Detection, International Conference on Pattern Recognition, 1994.James Davis and Mubarak Shah, Gesture Recognition, European Conference on Computer Vision, 1994.
Claudette Cedras and Mubarak Shah, A Survey of Motion Analysis from Moving Light Displays, Computer Vision and Pattern Recognition, 1994.
Ruo Zhang and Mubarak Shah, Height Recovery from Intensity Gradient, Computer Vision and Pattern Recognition, 1994.
Ruo Zhang, Ping-Sing Tsai, James Edwin Cryer, and Mubarak Shah, Analysis of Shape from Shading Techniques, Computer Vision and Pattern Recognition, 1994.
Tina Yu Tian and Mubarak Shah, Estimating 3D Motion and Shape of Multiple Objects Using Hough Transform, International Conference on Pattern Recognition, 1994.
Tina Yu Tian and Mubarak Shah, Motion Segmentation and Estimation, International Conference on Image Processing, 1994.
Young Ho Kwon and Niels da Vitoria Lobo, Age Classification from Facial Images, Computer Vision and Pattern Recognition, pp. 762-767, 1994.
Tina Yu Tian and Mubarak Shah, A General Approach for Determining 3D Motion and Structure of Multiple Objects and Image Trajectories, IEEE Workshop on Motion of Non-Rigid and Articulated Objects, 1994.
[Back to top]
1993
Ruo Zhang, Ping-sing Tsai, and Mubarak Shah, Shape from Photomotion, Computer Vision and Pattern Recognition, 1993.[Back to top]
1989
Kristine Gould and Mubarak Shah, The Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics, Computer Vision and Pattern Recognition, San Diego, pp. 79-85, June, 1989.[Back to top]