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	Publications

	2020

	Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos International Journal of Computer Vision (IJCV) 2020 [ PDF \| Springer \| arXiv \| BibTeX ]

	Automated High-Frequency Observations of Physical Activity using Computer Vision Jordan A. Carlson, Bo Liu, James F. Sallis, J. Aaron Hipp, Vincent S. Staggs, Jacqueline Kerr, Amy Papa, Kelsey Dean, and Nuno M. Vasconcelos Medicine and Science in Sports and Exercise (MSSE) Vol. 52, no. 9, pp. 2029-2036, 2020 [ PDF \| BibTeX ]

	Learning Complexity-Aware Cascades for Pedestrian Detection Zhaowei Cai, Mohammad Saberian, and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Vol. 42, no. 9, pp. 2195-2211, 2020 [ PDF \| BibTeX ]

	Learning Representations from Audio-Visual Spatial Alignment Pedro Morgado, Yi Li, Nuno Vasconcelos Advances in Neural Information Processing Systems (NeurIPS) 2020 [ PDF \| arXiv \| BibTeX \| Code \| Video]

	Solving Long-tailed Recognition with Deep Realistic Taxonomic Classiﬁer Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos European Conference on Computer Vision (ECCV) Glasgow, UK, 2020 [ Website \| Arxiv \| Supplemental \| BibTeX \| Code ]

	SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos European Conference on Computer Vision (ECCV) Glasgow, UK, 2020 [ PDF \| BibTeX ]

	Few-Shot Open-Set Recognition using Meta-Learning Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ PDF \| arXiv \| BibTeX \| Code ]

	Rethinking Differentiable Search for Mixed-Precision Neural Networks Zhaowei Cai, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ PDF \| arXiv \| BibTeX \| Code ]

	Explainable Object-induced Action Decision for Autonomous Vehicles Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ Website \| paper \| BibTeX \| code ]

	SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020

	Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ Website \| Arxiv \| Supplemental \| BibTeX \| Code ]

	Background Data Resampling for Outlier-Aware Classiﬁcation Yi Li, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, Washington, United States, 2020 [ PDF \| BibTeX \| Code \| Slides \| Supplemental ]

	2019

	Cascade R-CNN: High Quality Object Detection and Instance Segmentation Zhaowei Cai, and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Early Access, 2019 [ project \| pdf \| arXiv \| BibTeX \| Code ]

	Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes Mandar Dixit, Yunsheng Li, Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Early Access, 2019 [ arxiv \| BibTex ]

	Multiclass Boosting: Margins, Codewords, Losses, and Algorithms Mohammad Saberian and Nuno Vasconcelos Journal of Machine Learning Research (JMLR) Vol. 20, no. 137, pp. 1-68, 2019 [ pdf \| BibTeX ]

	Super Diffusion for Salient Object Detection Peng Jiang, Zhiyi Pan, Changhe Tu, Nuno Vasconcelos, Baoquan Chen, and Jingliang Peng IEEE Transactions on Image Processing (TIP) Vol. 29, pp. 2903-2917, 2019 [ PDF \| BibTeX ]

	Robust Deep Sensing Through Transfer Learning in Cognitive Radio Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, and Laurence B. Milstein IEEE Wireless Communications Letters (WCL) Vol. 9, no. 1, pp. 38-41, 2019 [ PDF \| BibTeX ]

	Cost-sensitive support vector machines Arya Iranmehr, Hamed Masnadi-Shirazi, and Nuno Vasconcelos Neurocomputing Vol. 343, pp. 50-64, 2019 [ PDF \| BibTex \| Code ]

	Deliberative Explanations: visualizing network insecurities Pei Wang, Nuno Vasconcelos Conference on Neural Information Processing Systems (NeurIPS) Vancouver, Canada, 2019 [ paper \| poster \| code \| BibTeX ]

	Volumetric Attention for 3D Medical Image Segmentation and Detection Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao and Nuno Vasconcelos International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Shenzhen, China, 2019 [ PDF \| BibTex\| Poster]

	NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, California, United States, 2019 [ Website \| PDF \| BibTeX \| Code ]

	Efficient Multi-Domain Learning by Covariance Normalization Yunsheng Li, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, US, 2019 [ pdf \| BibTex \|Code]

	Bidirectional Learning for Domain Adaptation of Semantic Segmentation Yunsheng Li, Lu Yuan, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, US, 2019 [ pdf \| BibTex \| Code]

	Towards Universal Object Detection by Domain Attention Xudong Wang, Zhaowei Cai, Dashan Gao and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, California, United States, 2019 [ Project \| pdf \| arXiv \| BibTeX \| Code ]

	PIEs: Pose Invariant Embeddings Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, California, United States, 2019 [ Website \| PDF \| Supplemental \| BibTeX \| Poster \| Dataset\| Code ]

	Catastrophic Child’s Play: Easy to Perform, Hard to Defend Adversarial Attacks Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos (equal contribution) IEEE Conference on Computer Vision and Pattern Recognition* (CVPR) Long Beach, California, United States, 2019 [ Website \| PDF \| Supplemental \| BibTeX \| Poster \| Dataset ]

	REPAIR: Removing Representation Bias by Dataset Resampling Yi Li, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, California, United States, 2019 [ PDF \| arXiv \| BibTeX \| Code \| Poster ]

	2018

	Self-Supervised Generation of Spatial Audio for 360° Video Pedro Morgado, Nuno Vasconcelos, Timothy Langlois and Oliver Wang Advances in Neural Information Processing Systems (NeurIPS) Montreal, Canada, 2018 [ Website \| PDF \| arXiv \| BibTeX \| Code ]

	Towards Realistic Predictors Pei Wang and Nuno Vasconcelos European Conference on Computer Vision (ECCV) Munich, Germany, 2018 [ project \| pdf \| BibTeX \| Code ]

	RESOUND: Towards Action Recognition without Representation Bias Yingwei Li, Yi Li, Nuno Vasconcelos European Conference on Computer Vision (ECCV) Munich, Germany, 2018 [ dataset \| pdf \| arXiv \| BibTeX \| Code]

	Feature Space Transfer for Data Augmentation Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, Utah, United States, 2018 [ project \| pdf \| arXiv \| BibTeX \| Code]

	Cascade R-CNN: Delving into High Quality Object Detection Zhaowei Cai and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City, Utah, United States, 2018 [ project \| pdf \| arXiv \| BibTeX \| Code]

	2017

	Automated ecological assessment of physical activity: Advancing direct observation Jordan A. Carlson, Bo Liu, James F. Sallis, Jacqueline Kerr, J.Aaron Hipp, Vincent S. Staggs, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos International Journal of Environmental Research and Public Health Vol. 14, no. 12, pp. 1487, 2017 [pdf]

	Complex Activity Recognition via Attribute Dynamics Wei-Xin LI and Nuno Vasconcelos International Journal of Computer Vision (IJCV) Vol. 122, no. 2, pp. 334-370, 2017 [ project \| preprint (pdf) \| BibTeX ]

	Deep Scene Image Classification with the MFAFVNet Yunsheng Li, Mandar Dixit, Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV) Venice, Italy, 2017 [arxiv version \| pdf]

	AGA: Attribute Guided Augmentation Mandar Dixit, Roland Kwitt, Marc Niethammer and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, Hawaii, United States, 2017 [ project \| pdf \| arXiv \| BibTeX]

	Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai, Xiaodong He, Jian Sun and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, Hawaii, United States, 2017 [ project \| pdf \| arXiv \| BibTeX \| Code]

	Semantically Consistent Regularization for Zero-Shot Recognition Pedro Morgado and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, Hawaii, United States, 2017 [ project \| pdf \| arXiv \| BibTeX \| Code]

	2016

	Parametric Regression on the Grassmannian Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos and Marc Niethammer IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Vol. 38, no. 11, pp. 2284-2297, 2016 [pdf \| supplement \| BibTeX ]

	Object based Scene Representations using Fisher Scores of Local Subspace Projections Mandar Dixit and Nuno Vasconcelos Advances in Neural Information Processing Systems (NeurIPS) Barcelona, Spain, 2016 [ project \| ps \| pdf \| supplement \| BibTeX ]

	Large Margin Discriminant Dimensionality Reduction in Prediction Space Mohammad Saberian, Jose Costa Pereira, Can Xu and Nuno Vasconcelos Neural Information Processing Systems (NeurIPS) Barcelona, Spain, 2016 [ project \| pdf \| BibTeX ]

	Semantic Clustering for Robust Fine-Grained Scene Recognition Marian George, Mandar Dixit, Gabor Zogg and Nuno Vasconcelos European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016 [ project \| ps \| pdf \| supplement \| BibTeX ]

	A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection Zhaowei Cai, Quanfu Fan, Rogerio S. Feris and Nuno Vasconcelos European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016 [ project \| pdf \| BibTeX \| Code \| Demo \| KITTI Results]

	Peak-Piloted Deep Network for Facial Expression Recognition Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos and Shuicheng Yan European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016 [ project \| ps \| pdf \| BibTeX ]

	Boosted Convolutional Neural Networks Mohammad Moghimi, Mohammad Saberian, Jian Yang, Li-Jia Li, Nuno Vasconcelos and Serge Belongie British Machine Vision Conference (BMVC) York, UK, 2016 [ project \| ps \| pdf \| BibTeX ]

	VLAD^3: Encoding Dynamics of Deep Features for Action Recognition Yingwei Li, Wei-Xin LI, Vijay Mahadevan and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition(CVPR) Las Vegas, Nevada, United States, 2016 [pdf \| BibTeX ]

	Person-Following UAVs Francisca Vasconcelos, Nuno Vasconcelos IEEE Winter Conference on Applications of Computer Vision (WACV) Lake Placid, NY, 2016 [ project \| pdf \| BibTeX ]

	Pedestrian Detection Aided by Temporal Prior Zhaowei Cai, Matthew Jacobsen and Nuno Vasconcelos In International SoC Design Conference , 2016 [pdf]

	2015

	A View of Margin Losses as Regularizers of Probability Estimates Hamed Masnadi-Shirazi, Nuno Vasconcelos Journal of Machine Learning Research (JMLR) Vol 16(Dec):2751-2795, 2015. [pdf \| BibTeX ]

	Bayesian Model Adaptation for Crowd Counts Bo Liu, Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV) Santiago, Chile, 2015 [ project \| ps \| pdf \| BibTeX ]

	Generic Promotion of Diffusion-Based Salient Object Detection Peng Jiang, Nuno Vasconcelos, Jiangliang Peng IEEE International Conference on Computer Vision (ICCV) Santiago, Chile, 2015 [ project \| code \| pdf \| supplemement \| BibTeX ]

	Learning Complexity-Aware Cascades for Deep Pedestrian Detection Zhaowei Cai, Mohammad Saberian and Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV) Santiago, Chile, 2015 [ project \| ps \| pdf \| BibTeX \| Demo \| MFC exe \| Caltech Results \| KITTI Results]

	Scene Classification with Semantic Fisher Vectors M.Dixit, S. Chen, D. Gao, N. Rasiwasia and N. Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Boston, Massachusetts, United States, 2015 [ project \| ps \| pdf \| BibTeX ]

	Multiple Instance Learning for Soft Bags via Top Instances Wei-Xin LI and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Boston, Massachusetts, United States, 2015 [ project \| ps \| pdf \| BibTeX ]

	How many bits does it take for a stimulus to be salient? S. H. Khatoonabadi, N. Vasconcelos, I. V. Bajic, and Y. Shan IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Boston, Massachusetts, United States, 2015 [ project\| ps \| pdf \| BibTeX ]

	A Real-time Cascade Pedestrian Detection based on Heterogeneous Features Zhaowei Cai and Nuno Vasconcelos In International SoC Design Conference , 2015 [pdf]

	FPGA implementation of HOG based pedestrian detector Matthew Jacobsen, Zhaowei Cai and Nuno Vasconcelos In International SoC Design Conference , 2015 [pdf]

	2014

	Robust Deformable and Occluded Object Tracking with Dynamic Graph Zhaowei Cai, Longyin Wen, Zhen Lei, Nuno Vasconcelos, and Stan Z. Li IEEE Transactions on Image Processing Vol 23(Dec):5497-5509, 2014. [pdf] [project]

	Object Recognition with Hierarchical Discriminant Saliency Networks S. Yan and Nuno Vasconcelos Frontiers in Computational Neuroscience Vol 8 (Sept), 2014. [pdf]

	Boosting Algorithm for Learning Detector Cascade Mohammad J. Saberian and Nuno Vasconcelos Journal of Machine Learning Research (JMLR) Vol 15(Jul):2569-2605, 2014. [pdf]

	Cross-modal Domain Adaptation for Text-based Regularization of Image Semantics in Image Retrieval Systems J. Costa Pereira and N. Vasconcelos Computer Vision and Image Understanding Vol. 124, pp. 123-135, July 2014. [ps] [pdf] [BibTeX]

	On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval J. Costa Pereira, E. Coviello, G. Doyle, N. Rasiwasia, G. Lanckriet, R.Levy and N. Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 36(3), pp. 521-535, March 2014.[ps] [pdf] [BibTeX]

	Anomaly Detection and Localization in Crowded Scenes Wei-Xin LI, Vijay Mahandevan and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Vol. 36, No. 1, pp. 18-32, January, 2014 [ project \| dataset \| pdf \| appendix ( ps \| pdf ) \| BibTeX ]

	Multi-Resolution Cascades for Multiclass Object Detection Mohammad Saberian and Nuno Vasconcelos in Advances in Neural Information Processing Systems (NeurIPS) 2014 [pdf]

	Geodesic Regression on the Grassmannian Y. Hong, R. Kwitt, N. Singh, B. Davis, N. Vasconcelos, and M. Niethammer in European Conference on Computer Vision (ECCV), 2014 [pdf] [supp]

	Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting Mohammad Saberian, Oscar Beijbom, David Kriegman and Nuno Vasconcelos in International Conference on Machine Learning (ICML), 2014 [pdf] [supp] [code]

	Learning Receptive Fields for Pooling from Tensors of Feature Response Can Xu and Nuno Vasconcelos In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 © IEEE[pdf]

	Learning optimal seeds for diffusion-based salient object detection Song Lu, Vijay Mahadevan and N. Vasconcelos In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 © IEEE[paper-pdf][supplementary-pdf]

	Using Context to Improve Cascaded Pedestrian Detection Mohammad Saberian, Zhaowei Cai, Jinhee Lee and Nuno Vasconcelos In International SoC Design Conference , 2014 [pdf]

	2013
	Latent Dirichelet Allocation Models for Image Classification N. Rasiwasia and N. Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35(11), 2665-2679, November 2013 [pdf][supplement]

	Localizing Target Structures in Ultrasound Video - a Phantom Study R. Kwitt, N. Vasconcelos, S. Razzaque, and S. Aylward, Medical Image Analysis, vol. 17(7), 712-722, October 2013 [ps] [pdf]

	Biologically-inspired Object Tracking Using Center-surround Mechanisms V. Mahadevan and N. Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 35(3), 541-554, March 2013 [ps] [pdf]

	Surveillance of Crowded Environments: Modeling the Crowd by its Global Properties A. Chan and N. Vasconcelos in Modeling, Simulation and Visual Analysis of Crowds

	Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification M. Dixit, N. Rasiwasia and N. Vasconcelos In Proc IEEE International Conference on Computer Vision (ICCV), Sydney, New South Wales, Australia, 2013 [ps][pdf]

	Dynamic Pooling for Complex Event Recognition Wei-Xin LI, Qian Yu and Nuno Vasconcelos IEEE International Conference on Computer Vision (ICCV), Sydney, New South Wales, Australia, 2013 [ ps \| pdf \| BibTeX ]

	Recognizing Activities via Bag of Words for Attribute Dynamics Wei-Xin LI, Qian Yu, Harpreet Sawhney and Nuno Vasconcelos IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Portland, OR, 2013 © IEEE [ps \| pdf]

	2012
	Minimum Probability of Error Image Retrieval: From Visual Features to Image Semantics N. Vasconcelos and M. Vasconcelos Foundations and Trends in Signal Processing, vol. 5(4), 265-389, 2012 [pdf] [doi:10.1561/2000000015]

	Endoscopic image analysis in semantic space R. Kwitt, N. Vasconcelos, N. Rasiwasia, A. Uhl, B. Davis, M. Hafner and F. Wrba Medical Image Analysis, vol. 16(7), 1415-1422, October 2012 [ps] [pdf]

	Learning Optimal Embedded Cascades Mohammad J. Saberian and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 34(10), 2005-2018, October 2012 [ps] [pdf]

	Holistic Context Models for Visual Recognition N. Rasiwasia and N. Vasconcelos IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 34 (5), 902-917, May 2012 © IEEE [ps] [pdf] [supplement/ps] [supplement/pdf]

	Counting People with Low-level Features and Bayesian Regression A. B. Chan and Nuno Vasconcelos IEEE Transactions on Image Processing, Vol 21 (4), 2160-2177, April 2012 © IEEE [ps] [pdf]

	On the connections between saliency and tracking V. Mahadevan and N. Vasconcelos Advances in Neural Information Processing Systems (NeurIPS) Lake Tahoe, Nevada, United States, 2012[ps] [pdf]

	Recognizing Activities by Attribute Dynamics Wei-Xin LI and Nuno Vasconcelos Advances in Neural Information Processing Systems (NeurIPS) Lake Tahoe, Nevada, United States, 2012[ps] [pdf]

	Scene Recognition on the Semantic Manifold R. Kwitt, N. Vasconcelos, N. Rasiwasia Proceedings of IEEE European Conference on Computer Vision (ECCV) Firenze, Italy, 2012 [ps] [pdf]

	Recognition in Ultrasound Videos: Where am I? R. Kwitt, N. Vasconcelos, S. Razzaque and S. Aylward Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'12), (Young Scientist award) Nice, 2012. [ps] [pdf]

	On the Regularization of Image Semantics by Modal Expansion J. Costa Pereira, and Nuno Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012. © IEEE [ps] [pdf] [demo]

	Boosting Algorithms for Simultaneous Feature Extraction and Selection Mohammad J. Saberian and Nuno Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012. © IEEE [ps] [pdf][Code]

	2011
	Generalized Stauffer-Grimson Background Subtraction for Dynamic Scenes A. B. Chan, V. Mahadevan and N. Vasconcelos Machine Vision and Applications, vol. 22(5), 751-766, 2011. [ps] [pdf]

	Multiclass Boosting: Theory and Algorithms Mohammad J. Saberian and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NeurIPS), Granada, Spain, Dec 2011. [ps] [pdf][code]

	Maximum Covariance Unfolding - Manifold Learning for Bimodal Data V. Mahadevan, C-W. Wong, J Costa-Pereira, T.T. Liu, N. Vasconcelos and L.K. Saul In Proc. Neural Information Processing Systems Dec 2011 [ps] [pdf]

	Learning Pit Pattern Concepts for Gastroenterological Training R. Kwitt, N. Rasiwasia, N. Vasconcelos, A. Uhl, M. Hafner, F. Wr Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'11), Toronto, Sept 2011 [ps] [pdf]

	Biologically Plausible Detection of Amorphous Objects in the Wild Sunhyoung Han and Nuno Vasconcelos, IEEE CVPR Workshop on Biologically-Consistent Vision, pp. 17-24, June 2011.© IEEE [ps][pdf]

	Automatic Initialization and Tracking Using Attentional Mechanisms V. Mahadevan and N. Vasconcelos, IEEE CVPR Workshop on Biologically-Consistent Vision, June 2011.© IEEE [ps][pdf]

	Adapted Gaussian Models for Image Classification M. Dixit, N. Rasiwasia and N. Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, 2011. © IEEE [ps] [pdf]

	TaylorBoost: First and Second Order Boosting Algorithms with Explicit Margin Control Mohammad J. Saberian, Hamed Masnadi-Shirazi and Nuno Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, 2011. © IEEE [ps] [pdf][code]

	2010
	Cost-Sensitive Boosting Hamed Masnadi-Shirazi and Nuno Vasconcelos IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32(2), 294, March 2010 . © IEEE [ps] [pdf]

	Biologically Plausible Saliency Mechanisms Improve Feedforward Object Recognition Sunhyoung Han and Nuno Vasconcelos Vision Research, vol. 50(22), 2295-2307, October 2010 [pdf] [doi:10.1016/j.visres.2010.05.034]

	A Novel Approach to FRUC using Discriminant Saliency and Frame Segmentation N. Jacobson, Y-L. Lee, V. Mahadevan, N. Vasconcelos and T.Q. Nguyen IEEE Transactions on Image Processing, vol. 19(11) ,2924-2934, Nov. 2010. © IEEE [ps] [pdf]

	Spatiotemporal Saliency in Highly Dynamic Scenes V. Mahadevan and N. Vasconcelos IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32(1), 171-177, January 2010. © IEEE [ps] [pdf] [dataset]

	Variable margin losses for classifier design. Hamed Masnadi-Shirazi and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 2010. [ps] [pdf]

	A biologically plausible network for the Computation of Orientation Dominance Kritika Muralidharan and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 2010. [ps] [pdf]

	Boosting Classifer Cascades Mohammad J. Saberian and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 2010. [ps] [pdf]

	A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G.R.G. Lanckriet, R. Levy, N. Vasconcelos ACM Proceedings of the 15th international conference on Multimedia, (best student paper award) Florence, Italy, Oct 2010. [ps] [pdf]

	Motion Vector Refinement for FRUC Using Saliency and Segmentation N. Jacobson, Y-L. Lee, V. Mahadevan, N. Vasconcelos and T.Q. Nguyen IEEE International Conference on Multimedia & Expo (ICME), Singapore, Jul 2010 © IEEE [ps] [pdf]

	Risk minimization, probability elicitation, and cost-sensitive SVMs Hamed Masnadi-Shirazi and Nuno Vasconcelos Proc. International Conference on Machine Learning (ICML), June 2010. [ps] [pdf]

	On the Design of Robust Classifiers for Computer Vision Hamed Masnadi-Shirazi, Vijay Mahadevan and Nuno Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, 2010. © IEEE [ps] [pdf]

	Anomaly Detection in Crowded Scenes Vijay Mahadevan, Wei-Xin LI, Viral Bhalodia and Nuno Vasconcelos Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, 2010. © IEEE [ps] [pdf] [dataset]

	2009
	Layered Dynamic Textures Antoni B. Chan and Nuno Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 31(10),1862-1879, October 2009. © IEEE [ps] [pdf]

	Bayesian Poisson Regression for Crowd Counting Antoni B. Chan and Nuno Vasconcelos IEEE International Conference on Computer Vision, Kyoto, September 2009. © IEEE [ps] [pdf]

	Discriminant saliency, the detection of suspicious coincidences, and applications to visual recognition D. Gao, S. Han, N. Vasconcelos, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31(6), pp. 989-1005, June 2009. © IEEE [ps][pdf] [doi:10.1109/TPAMI.2009.27]

	Fluoroscopic tumour tracking for image-guided lung cancer radiotherapy T. Lin, L. Cervino, X. Tang, N. Vasconcelos, and S. Jiang. Physics in Medicine and Biology, Vol 54(4), 981-992, February 2009. [ps][pdf] [doi:10.1088/0031-9155/54/4/011]

	Minimum Bayes error features for visual recognition G. Carneiro and N. Vasconcelos Image and Vision Computing, Vol 27(1), 131-140, January 2009. [ps][pdf]

	Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics D. Gao and N. Vasconcelos. Neural Computation, 21, 239-271, January 2009. [ps][pdf]

	Natural Image Statistics and Low-complexity Feature Selection M. Vasconcelos and N. Vasconcelos IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 31(2), pp. 228-244, February 2009. © IEEE [ps][pdf]

	Holistic Context Modeling using Semantic Co-occurrences N. Rasiwasia and N. Vasconcelos In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, June 2009. © IEEE [pdf]

	Variational Layered Dynamic Textures A. B. Chan and N. Vasconcelos In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, June 2009. © IEEE [pdf]

	Saliency Based Discriminant Tracking V. Mahadevan and N. Vasconcelos In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, June 2009. © IEEE [pdf]

	Analysis of Crowded Scenes using Holistic Properties A. B. Chan, M. Morrow, and N. Vasconcelos In 11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009), Miami, June 2009. © IEEE [pdf]

	Derivations for the Layered Dynamic Texture and Temporally-Switching Layered Dynamic Texture A. B. Chan and N. Vasconcelos Technical Report SVCL-TR-2009-01, June 2009. [pdf]

	2008
	On the plausibility of the discriminant center-surround hypothesis for visual saliency D. Gao, V. Mahadevan, and N. Vasconcelos. Journal of Vision, 8(7):13, 1-18, June 2008. [doi:10.1167/8.7.13.] [ps][pdf]

	Modeling, clustering, and segmenting video with mixtures of dynamic textures A. B. Chan and N. Vasconcelos. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 30(5), pp. 909-926, May 2008. © IEEE [ps][pdf]

	On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost. Hamed Masnadi-Shirazi and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2008. [ps] [pdf]

	Unsupervised Moving Target Detection in Dynamic Scenes V. Mahadevan and N. Vasconcelos. Army Science Conference, Orlando, FL, Dec 2008. [ps][pdf]

	Image Retrieval using Query by Contextual Example N. Rasiwasia and N. Vasconcelos. ACM International Conference on Multimedia Information Retrieval (ACM-MIR), Vancouver, Canada, Oct 2008. [ps][pdf]

	Complex discriminant features for object classification S. Han and N. Vasconcelos. International Conference on Image Processing (ICIP), (best student paper award) San Diego, California, Oct. 2008. © IEEE [ps][pdf]

	A Systematic Study of the role of Context on Image Classification N. Rasiwasia and N. Vasconcelos. International Conference on Image Processing (ICIP), San Diego, California, Oct. 2008. © IEEE [ps][pdf]

	Privacy Preserving Crowd Monitoring: Counting People without People Models or Tracking A. B. Chan, Z. S. J. Liang, and N. Vasconcelos. In, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, June 2008. © IEEE, [ps][pdf]

	Scene Classification with Low-dimensional Semantic Spaces and Weak Supervision N. Rasiwasia and N. Vasconcelos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, June 2008. © IEEE, [ps][pdf]

	Background Subtraction in Highly Dynamic Scenes V. Mahadevan and N. Vasconcelos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, June 2008. © IEEE, [ps][pdf]

	A Study of Query by Semantic Example N. Rasiwasia and N. Vasconcelos. 3rd International Workshop on Semantic Learning and Applications in Multimedia, Anchorage, June 2008. © IEEE, [ps][pdf]

	Object-based regions of interest for image compression S. Han and N. Vasconcelos, Data Compression Conference (DCC), pp 132-141 Snowbird, Utah, Mar. 2008. [ps] [pdf]

	2007
	Bridging the Gap: Query by Semantic Example Rasiwasia, N., Moreno, P. L., Vasconcelos, N. Multimedia, IEEE Transactions on, Vol. 9(5), pp. 923-938, Aug 2007.© IEEE,[ps][pdf]

	From Pixels to Semantic Spaces: Advances in Content-Based Image Retrieval N. Vasconcelos IEEE Computer, Vol. 40(7), pp. 20-26, July 2007.© IEEE,[ps][pdf]

	Supervised Learning of Semantic Classes for Image Annotation and Retrieval G. Carneiro, A. B. Chan, P. J. Moreno, and N. Vasconcelos IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29(3), pp. 394-410, March 2007.© IEEE,[ps][pdf]

	The discriminant center-surround hypothesis for bottom-up saliency. D. Gao, V. Mahadevan and N. Vasconcelos. In Proc. Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2007. [ps] [pdf]

	High Detection-rate Cascades for Real-Time Object Detection. Hamed Masnadi-Shirazi and Nuno Vasconcelos. Proceedings of IEEE International Conference on Computer Vision (ICCV) , Rio de Janeiro, Brazil, October 2007. © IEEE, [ps] [pdf]

	Bottom-up saliency is a discriminant process D. Gao and N. Vasconcelos. Proceedings of IEEE International Conference on Computer Vision (ICCV) , Rio de Janeiro, Brazil, October 2007. © IEEE, [ps] [pdf]

	Discriminant Interest Points are Stable D. Gao and N. Vasconcelos. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007. © IEEE, [ps][pdf]

	Classifying Video with Kernel Dynamic Textures A. B. Chan and N. Vasconcelos. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007. © IEEE, [ps][pdf]

	Asymmetric Boosting Hamed Masnadi-Shirazi and Nuno Vasconcelos. Proceedings of International Conference on Machine Learning, Corvallis, OR, June 2007. [ps][pdf]

	Direct Convex Relaxations of Sparse SVM A. B. Chan, N. Vasconcelos, and G. R. G. Lanckriet. Proceedings of International Conference on Machine Learning, Corvallis, OR, June 2007. [ps][pdf] (updated version) (this old version accidently truncated the last dimension of the "wine" dataset [ps][pdf])

	Supplemental for "Classifying Video with Kernel Dynamic Textures" A. B. Chan and N. Vasconcelos. Technical Report SVCL-TR-2007-03, April, 2007. [ps][pdf][zip w/ video]

	Duals of the QCQP and SDP Sparse SVM A. B. Chan, N. Vasconcelos, and G. R. G. Lanckriet. Technical Report SVCL-TR-2007-02, April 2007. [ps][pdf]

	2006

	Image Compression using Object-based Regions of Interest S. Han, N. Vasconcelos Proceedings of the International Conference on Image Processing pp. 3097-3100 Atlanta, Georgia, October 2006. © IEEE [ps][pdf]

	Using Statistics to Search and Annotate Pictures: an Evaluation of Semantic Image Annotation and Retrieval on Large Databases A. B. Chan, P. J. Moreno, and N. Vasconcelos Proceedings of Joint Statistical Meetings (JSM), Seattle, August 2006. [ps][pdf]

	Query By Semantic Example Nikhil Rasiwasia, Nuno Vasconcelos, Pedro J Moreno Proceedings of the International Conference on Image and Video Retrieval LNCS 4071, pp. 51-60 Phoenix, Arizona, July 2006. [ps][pdf]
	Weakly Supervised Top-Down Image Segmentation M. Vasconcelos, G. Carneiro, and N. Vasconcelos Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, New York, June 2006.© IEEE,[ps][pdf]

	Single Image Superresolution Based on Support Vector Regression K. Ni, S. Kumar, N. Vasconcelos, and T.Q. Nguyen, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 2, pp. 601-604 Toulouse, France, May 2006. © IEEE,[ps][pdf]

	2005
	A Multiresolution Manifold Distance for Invariant Image Similarity N. Vasconcelos and A. Lippman, IEEE Transactions on Multimedia, vol. 7, pp. 127-142, 2005. © IEEE [ps][pdf]

	Layered Dynamic Textures A. B. Chan and N. Vasconcelos, Proceedings of Neural Information Processing Systems 19, Vancouver, December 2005. [ps][pdf]

	Mixtures of Dynamic Textures A. B. Chan and N. Vasconcelos, Proceedings of IEEE International Conference on Computer Vision, Beijing, China, October 2005. © IEEE [ps][pdf]

	A Database Centric View of Semantic Image Annotation and Retrieval G. Carneiro and N. Vasconcelos, Proceedings of ACM Conference on Research and Development in Information Retrieval (ACM SIGIR) Salvador, Brazil, August 2005. [ps][pdf]

	Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes A. B. Chan and N. Vasconcelos, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, San Diego, June 2005. © IEEE , [ps][pdf] (A longer version is available [ps][pdf])

	Integrated learning of saliency, complex features, and object detectors from cluttered scenes D. Gao and N. Vasconcelos, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005. © IEEE , [ps][pdf] (A longer version is available [ps][pdf])

	Formulating Semantic Image Annotation as a Supervised Learning Problem G. Carneiro and N. Vasconcelos Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, San Diego, June 2005.© IEEE ,[ps][pdf]

	Classification and Retrieval of Traffic Video using Auto-Regressive Stochastic Processes A. B. Chan and N. Vasconcelos, Proceedings of 2005 IEEE Intelligent Vehicles Symposium, Las Vegas, June 2005. © IEEE , [ps][pdf]

	Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction G. Carneiro and N. Vasconcelos, Proceedings of 2nd Canadian Conference on Computer and Robot Vision, Victoria, May 2005. © IEEE , [ps][pdf]

	The EM Algorithm for Layered Dynamic Textures A. B. Chan and N. Vasconcelos Technical Report SVCL-TR-2005-03, 2005. [ps][pdf]

	A Bayesian Architecture for Combining Saliency Detectors D. Gao and N. Vasconcelos Technical Report SVCL-TR-2005-01, June 2005. [ps][pdf]

	2004
	Minimum Probability of Error Image Retrieval N. Vasconcelos, IEEE Transactions on Signal Processing August 2004. © IEEE, [ps][pdf]

	On the Efficient Evaluation of Probabilistic Similarity Functions for Image Retrieval N. Vasconcelos, IEEE Transactions on Information Theory vol. 50, No.7, pp1482-1496, July 2004. © IEEE,[ps][pdf]

	Discriminant Saliency for Visual Recognition from Cluttered Scenes D. Gao and N. Vasconcelos, Proceedings of Neural Information Processing Systems (NIPS) , Vancouver, Canada, December 2004. [ps][pdf]

	Scalable Discriminant Feature Selection for Image Retrieval and Recognition N. Vasconcelos and M. Vasconcelos Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 2004. © IEEE, [ps][pdf][slides]

	The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition N. Vasconcelos, P. Ho, and P. Moreno, Proceedings of the European Conference on Computer Vision, Prague, Czech, May 2004.[ps][pdf][slides]

	Formulating Semantic Image Annotation as a Supervised Learning Problem G. Carneiro and N. Vasconcelos, Technical Report SVCL-TR-2004-03, December 2004. [ps][pdf]

	Efficient Computation of the KL Divergence between Dynamic Textures A. B. Chan and N. Vasconcelos, Technical Report SVCL-TR-2004-02, November 2004. [ps][pdf]

	A Family of Probabilistic Kernels Based on Information Divergence A. B. Chan, N. Vasconcelos, and P. J. Moreno, Technical Report SVCL-TR-2004-01, June 2004.[ps][pdf]

	2003
	A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications P. J. Moreno, P. P. Ho, and N. Vasconcelos Proceedings of Neural Information Processing Systems, Vancouver, Canada, December 2003. [ps][pdf].

	Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition N. Vasconcelos Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, June 2003, © IEEE, [ps][pdf]

	The design of end-to-end optimal image retrieval systems N. Vasconcelos Proceedings of International Conference on Artificial Neural Networks, Istanbul, Turkey, June 2003. [ps][pdf]

	2002
	Feature Selection by Maximum Marginal Diversity N. Vasconcelos Proceedings of Neural Information Processing Systems, Vancouver, Canada, December 2002. [ps][pdf].

	Exploiting Group Structure To Improve Retrieval Accuracy and Speed in Image Databases N. Vasconcelos, Proceedings of International Conference on Image Processing, Rochester, New York, September 2002, © IEEE, [ps][pdf].

	What is the Role of Independence for Visual Recognition? N. Vasconcelos and G. Carneiro, Proceedings of the European Conference on Computer Vision, Copenhagen, Denmark, May 2002.[ps][pdf]

	2001
	Empirical Bayesian Motion Segmentation N. Vasconcelos and A. Lippman, IEEE Transactions on Pattern Analysis and Machine Inteligence, vol.23, n.2; February 2001, © IEEE, [ps][pdf].

	Content-based Retrieval from Image Databases: Current Solutions and Future Directions N. Vasconcelos and M. Kunt, Proceedings of International Conference on Image Processing, Thessaloniki, Greece, October 2001, © IEEE, [ps][pdf].

	On the Complexity of Probabilistic Image Retrieval N. Vasconcelos, Proceedings of the International Conference on Computer Vision, Vancouver, Canada, July 2001, © IEEE, [ps][pdf]

	Image Indexing with Mixture Hierarchies N. Vasconcelos Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawai, June 2001, © IEEE, [ps][pdf]

	2000
	Statistical Models of Video Structure for Content Analysis and Characterization N. Vasconcelos and A. Lippman, IEEE Transactions on Image Processing, vol. 9, n. 1; January 2000, © IEEE, [ps][pdf].

	Bayesian Video Shot Segmentation N. Vasconcelos and A. Lippman, Proceedings of Neural Information Processing Systems 13, Denver, Colorado, December 2000, [ps][pdf].

	A Unifying View of Image Similarity N. Vasconcelos and A. Lippman, Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, September 2000, © IEEE, [ps][pdf].

	Feature Representations for Image Retrieval: Beyond the Color Histogram N. Vasconcelos and A. Lippman, Proceedings of the International Conference on Multimedia and Expo, New York, August 2000, © IEEE, [ps][pdf].

	Learning Over Multiple Temporal Scales in Image Databases N. Vasconcelos and A. Lippman, Proceedings of the European Conference on Computer Vision, Dublin, Ireland, July 2000, ? Springer, [ps][pdf].

	A Probabilistic Architecture for Content-based Image Retrieval N. Vasconcelos and A. Lippman, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, South Carolina, June 2000, © IEEE, [ps][pdf].

	Bayesian Representations and Learning Mechanisms for Content Based Image Retrieval N. Vasconcelos and A. Lippman, Proceedings SPIE Conference on Storage and Retrieval for Media Databases, San Jose, California, January 2000.

	1999
	Learning from User Feedback in Image Retrieval Systems N. Vasconcelos and A. Lippman, Proceedings of Neural Information Processing Systems 12, Denver, Colorado, December 1999, [ps][pdf].

	1998
	Learning Mixture Hierarchies N. Vasconcelos and A. Lippman, Proceedings of Neural Information Processing Systems 11, Denver, Colorado, December 1998, [ps][pdf].

	Humane Interfaces to Video A. Lippman, N. Vasconcelos, and G. Iyengar, Proceedings of 32^nd Asilomar Conference on Signals, Systems, and Computers, Asilomar, California, November 1998.

	Embedded Mixture Modeling for Efficient Probabilistic Content-Based Indexing and Retrieval N. Vasconcelos and A. Lippman, Proceedings of SPIE Conference on Multimedia Storage and Archiving Systems III, Boston, November 1998.

	Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Chicago, October 1998, © IEEE, [ps][pdf].

	A Spatiotemporal Motion Model for Video Summarization N. Vasconcelos and A. Lippman, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, June 1998, © IEEE, [ps][pdf]

	A Bayesian Framework for Semantic Content Characterization N. Vasconcelos and A. Lippman, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, June 1998, © IEEE, [ps][pdf]

	A Bayesian Framework for Content-based Indexing and Retrieval N. Vasconcelos and A. Lippman, Proceedings of IEEE Data Compression Conference Snowbird, Utah, March 1998, © IEEE, [ps][pdf]

	1997
	Multiresolution Tangent Distance for Affine Invariant Classification N. Vasconcelos and A. Lippman, Proceedings of Neural Information Processing Systems 10, Denver, Colorado, December 1997, [ps][pdf].

	Content-based Pre-indexed Video N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Santa Barbara, California, October 1997, © IEEE, [ps][pdf].

	Pre and Post-Filtering for Low Bit-rate Video Coding N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Santa Barbara, California, October 1997.

	Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Santa Barbara, California, October 1997, © IEEE, [ps][pdf].

	Empirical Bayesian EM-based Motion Segmentation N. Vasconcelos and A. Lippman, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997, © IEEE, [ps][pdf].

	Library-based Coding: a Representation for Efficient Video Compression and Retrieval N. Vasconcelos and A. Lippman, Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 1997, © IEEE, [ps][pdf].

	1996
	Frame-free Video N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Lausanne, Switzerland, September 1996, © IEEE, [ps][pdf].

	1995
	Spatiotemporal Model-Based Optic Flow Estimation N. Vasconcelos and A. Lippman, Proceedings of International Conference on Image Processing, Washington DC, October 1995, © IEEE, [ps][pdf].