Lorenzo Torresani

Associate Professor of Computer Science

Department:
Cognitive Science
Computer Science
Education:
Laurea Degree University of Milan
M.S. Stanford University
Ph.D. Stanford University

Related Links

Selected Publications

G. Bertasius, J. Shi, and L. Torresani. “High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision,” in IEEE International Conference On Computer Vision, ICCV, 2015.

D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri. “Learning Spatiotemporal Features with 3D Convolutional Networks,” in IEEE International Conference On Computer Vision, ICCV, 2015.

G. Bertasius, J. Shi, and L. Torresani. “DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection,” IEEE Conference On Computer Vision and Pattern Recognition, CVPR, pages 4380-4389, 2015.

S. Rodriguez-Vaamonde, L. Torresani and A.W. Fitzgibbon. “What can pictures tell us about web pages? Improving document search using images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 37(6):1274-1285, June 2015.

A. Bergamo, and L. Torresani, “Classemes and Other Classifier-based Features for Efficient Object Categorization,” IEEE Trans. on PAMI. Oct. 2014. Vol. 36, No. 10, pp. 1988-2001.

D. Tran, and L. Torresani. “EXMOVES: Classifier-based Features for Scalable Action Recognition,” International Conference on Learning Representations, ICLR, 2014.

M.H. Nguyen, L. Torresani, F. de la Torre, and C. Rother, “Learning Discriminative Localization from Weakly Labeled Data.” Pattern Recognition, 47(3):1523-1534, March 2014.

A. Chandrashekar, L. Torresani, and R. Granger, “Learning what is where from unlabeled images: joint localization and clustering of foreground objects.” Machine Learning Journal, Springer, Feb. 2014.

L. Torresani, V. Kolmogorov, and C. Rother. “A Dual Decomposition Approach to Feature Correspondence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 35(2):259-271, Feb. 2013.

A. Bergamo, L. Torresani. "Meta-class features for large-scale object categorization on a budget," IEEE Conference on Computer Vision and Pattern Recognition , (2012), 3085-3092.

Bergamo, A, L Torresani, and A Fitzgibbon, “PiCoDes: Learning a Compact Code for Novel-Category Recognition,” Advances in Neural Information Processing Systems 24 , (2011), 2088-2096.

Rastegari, M, C Fang, and L Torresani, “Scalable object-class retrieval with approximate and top-k ranking,” IEEE International Conference on Computer Vision , (2011), 2659-2666.

Bergamo, A, and L Torresani, “Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach,” Advances in Neural Information Processing Systems 23 , (2010), 23:181– 189.

Torresani, L, M Szummer, and A Fitzgibbon, “Efficient Object Category Recognition Using Classemes,” European Conference On Computer Vision , (2010), 1:776–789.

Torresani, L, M Szummer, and A Fitzgibbon. “Learning query-dependent prefilters for scalable image retrieval,” IEEE Conference On Computer Vision and Pattern Recognition , (2009), 2615–2622.

Torresani, L, A Hertzmann, and C Bregler, “Non-Rigid Structure-From-Motion: Estimating Shape and Motion with Hierarchical Priors,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 30:5 (2008), 878-892.

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