2013
152Detecting Motion through Dynamic Refraction. Marina Alterman, Yoav Y. Schechner, Pietro Perona, Joseph Shamir. IEEE Trans. Pattern Anal. Mach. Intell. (35): 245-251 (2013). Web SearchBibTeXDownload
2012
151Semisupervised Classifier Evaluation and Recalibration. Peter Welinder, Max Welling, Pietro Perona. CoRR (abs/1210.2162) (2012). Web SearchBibTeXDownload
150Social behavior recognition in continuous video. Xavier P. Burgos-Artizzu, Piotr Dollįr, Dayu Lin, David J. Anderson, Pietro Perona. CVPR 2012, 1322-1329. Web SearchBibTeXDownload
149Unsupervised Learning of Categorical Segments in Image Collections. Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (34): 1842-1855 (2012). Web SearchBibTeXDownload
148Pedestrian Detection: An Evaluation of the State of the Art. Piotr Dollįr, Christian Wojek, Bernt Schiele, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (34): 743-761 (2012). Web SearchBibTeXDownload
147CompactKdt: Compact signatures for accurate large scale object recognition. Mohamed Aly, Mario E. Munich, Pietro Perona. WACV 2012, 505-512. Web SearchBibTeXDownload
2011
146Distributed Kd-Trees for Ultra Large Scale Object Recognition. Mohamed Aly, Mario E. Munich, Pietro Perona. BMVC 2011, 1-11. Web SearchBibTeXDownload
145Multiclass recognition and part localization with humans in the loop. Catherine Wah, Steve Branson, Pietro Perona, Serge Belongie. ICCV 2011, 2524-2531. Web SearchBibTeXDownload
144Strong supervision from weak annotation: Interactive training of deformable part models. Steve Branson, Pietro Perona, Serge Belongie. ICCV 2011, 1832-1839. Web SearchBibTeXDownload
143Object detection and segmentation from joint embedding of parts and pixels. Michael Maire, Stella X. Yu, Pietro Perona. ICCV 2011, 2142-2149. Web SearchBibTeXDownload
142Unsupervised Organization of Image Collections: Taxonomies and Beyond. Evgeniy Bart, Max Welling, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (33): 2302-2315 (2011). Web SearchBibTeXDownload
141Measuring and Predicting Object Importance. Merrielle Spain, Pietro Perona. International Journal of Computer Vision (91): 59-76 (2011). Web SearchBibTeXDownload
140Predicting response time and error rates in visual search. Bo Chen, Vidhya Navalpakkam, Pietro Perona. NIPS 2011, 2699-2707. Web SearchBibTeXDownload
139Bag of Words for Large Scale Object Recognition - Properties and Benchmark. Mohamed Aly, Mario E. Munich, Pietro Perona. VISAPP 2011, 299-306. Web SearchBibTeX
138Indexing in large scale image collections: Scaling properties and benchmark. Mohamed Aly, Mario E. Munich, Pietro Perona. WACV 2011, 418-425. Web SearchBibTeXDownload
2010
137The Fastest Pedestrian Detector in the West. Piotr Dollįr, Serge Belongie, Pietro Perona. BMVC 2010, 1-11. Web SearchBibTeXDownload
136Seeing the trees, the forest, and much more. Pietro Perona. Commun. ACM (53): 106 (2010). Web SearchBibTeXDownload
135Cascaded pose regression. Piotr Dollįr, Peter Welinder, Pietro Perona. CVPR 2010, 1078-1085. Web SearchBibTeXDownload
134Visual Recognition with Humans in the Loop. Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Peter Welinder, Pietro Perona, Serge Belongie. ECCV (4) 2010, 438-451. Web SearchBibTeXDownload
133Discriminative Clustering by Regularized Information Maximization. Ryan Gomes, Andreas Krause, Pietro Perona. NIPS 2010, 775-783. Web SearchBibTeXDownload
132The Multidimensional Wisdom of Crowds. Peter Welinder, Steve Branson, Serge Belongie, Pietro Perona. NIPS 2010, 2424-2432. Web SearchBibTeXDownload
131Vision of a Visipedia. Pietro Perona. Proceedings of the IEEE (98): 1526-1534 (2010). Web SearchBibTeXDownload
130Learning Object Categories From Internet Image Searches. Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman. Proceedings of the IEEE (98): 1453-1466 (2010). Web SearchBibTeXDownload
2009
129Integral Channel Features. Piotr Dollįr, Zhuowen Tu, Pietro Perona, Serge Belongie. BMVC 2009, 1-11. Web SearchBibTeXDownload
128Pedestrian detection: A benchmark. Piotr Dollįr, Christian Wojek, Bernt Schiele, Pietro Perona. CVPR 2009, 304-311. Web SearchBibTeXDownload
127Automatic discovery of image families: Global vs. local features. Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona. ICIP 2009, 777-780. Web SearchBibTeXDownload
2008
126Unsupervised learning of visual taxonomies. Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling. CVPR 2008. Web SearchBibTeXDownload
125Learning and using taxonomies for fast visual categorization. Gregory Griffin, Pietro Perona. CVPR 2008. Web SearchBibTeXDownload
124Incremental learning of nonparametric Bayesian mixture models. Ryan Gomes, Max Welling, Pietro Perona. CVPR 2008. Web SearchBibTeXDownload
123Some Objects Are More Equal Than Others: Measuring and Predicting Importance. Merrielle Spain, Pietro Perona. ECCV (1) 2008, 523-536. Web SearchBibTeXDownload
122Multiple Component Learning for Object Detection. Piotr Dollįr, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu. ECCV (2) 2008, 211-224. Web SearchBibTeXDownload
121A Probabilistic Cascade of Detectors for Individual Object Recognition. Pierre Moreels, Pietro Perona. ECCV (3) 2008, 426-439. Web SearchBibTeXDownload
120Unsupervised clustering for google searches of celebrity images. Alex Holub, Pierre Moreels, Pietro Perona. FG 2008, 1-8. Web SearchBibTeXDownload
119Memory bounded inference in topic models. Ryan Gomes, Max Welling, Pietro Perona. ICML 2008, 344-351. Web SearchBibTeXDownload
118Hybrid Generative-Discriminative Visual Categorization. Alex Holub, Max Welling, Pietro Perona. International Journal of Computer Vision (77): 239-258 (2008). Web SearchBibTeXDownload
117Guest Editorial. Darrell Conklin, Tadeusz A. Wysocki, Hamid Sharif, L. C. Gundersen, P. P. Leahy, W. Hill, Jyh-Horng Wen, Shiuh-Jeng Wang, Yuh-Ren Tsai, Keh-Ming Lu. International Journal of Computer Vision (77): 1 (2008). Cited by 2Web SearchBibTeXDownload
2007
116Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Fei-Fei Li, Robert Fergus, Pietro Perona. Computer Vision and Image Understanding (106): 59-70 (2007). Web SearchBibTeXDownload
115Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona. CVPR 2007. Web SearchBibTeXDownload
114On Constructing Facial Similarity Maps. Alex Holub, Yun-hsueh Liu, Pietro Perona. CVPR 2007. Web SearchBibTeXDownload
113Non-Parametric Probabilistic Image Segmentation. Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona. ICCV 2007, 1-8. Web SearchBibTeXDownload
112Learning slip behavior using automatic mechanical supervision. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona. ICRA 2007, 1741-1748. Web SearchBibTeXDownload
1113D Reconstruction by Shadow Carving: Theory and Practical Evaluation. Silvio Savarese, Marco Andreetto, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona. International Journal of Computer Vision (71): 305-336 (2007). Web SearchBibTeXDownload
110Evaluation of Features Detectors and Descriptors based on 3D Objects. Pierre Moreels, Pietro Perona. International Journal of Computer Vision (73): 263-284 (2007). Web SearchBibTeXDownload
109Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. Robert Fergus, Pietro Perona, Andrew Zisserman. International Journal of Computer Vision (71): 273-303 (2007). Web SearchBibTeXDownload
108Learning and prediction of slip from visual information. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona. J. Field Robotics (24): 205-231 (2007). Web SearchBibTeXDownload
107Automating joiners. Lihi Zelnik-Manor, Pietro Perona. NPAR 2007, 121-131. Web SearchBibTeXDownload
106Automatic recognition of biological particles in microscopic images. Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R. C. Flagan, Yann LeCun, Pietro Perona. Pattern Recognition Letters (28): 31-39 (2007). Cited by 14Web SearchBibTeXDownload
105Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona. Robotics: Science and Systems 2007. Web SearchBibTeXDownload
2006
104Carving from Ray-Tracing Constraints: IRT-Carving. Marco Andreetto, Silvio Savarese, Pietro Perona. 3DPVT 2006, 49-56. Web SearchBibTeXDownload
103Learning to Predict Slip for Ground Robots. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Gabe Sibley, Pietro Perona. ICRA 2006, 3324-3331. Web SearchBibTeXDownload
102One-Shot Learning of Object Categories. Fei-Fei Li, Robert Fergus, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (28): 594-611 (2006). Web SearchBibTeXDownload
101Graph-Based Visual Saliency. Jonathan Harel, Christof Koch, Pietro Perona. NIPS 2006, 545-552. Web SearchBibTeXDownload
100Slip Prediction Using Visual Information. Anelia Angelova, Larry Matthies, Daniel M. Helmick, Pietro Perona. Robotics: Science and Systems 2006. Web SearchBibTeXDownload
99A Sparse Object Category Model for Efficient Learning and Complete Recognition. Robert Fergus, Pietro Perona, Andrew Zisserman. Toward Category-Level Object Recognition 2006, 443-461. Web SearchBibTeXDownload
2005
98Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. Dirk Walther, Ueli Rutishauser, Christof Koch, Pietro Perona. Computer Vision and Image Understanding (100): 41-63 (2005). Web SearchBibTeXDownload
97A Discriminative Framework for Modelling Object Classes. Alex Holub, Pietro Perona. CVPR (1) 2005, 664-671. Web SearchBibTeXDownload
96Hybrid Models for Human Motion Recognition. Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona. CVPR (1) 2005, 1166-1173. Web SearchBibTeXDownload
95Pruning Training Sets for Learning of Object Categories. Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Perona. CVPR (1) 2005, 494-501. Web SearchBibTeXDownload
94A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. Robert Fergus, Pietro Perona, Andrew Zisserman. CVPR (1) 2005, 380-387. Web SearchBibTeXDownload
93A Bayesian Hierarchical Model for Learning Natural Scene Categories. Fei-Fei Li, Pietro Perona, California Institute of Technology. CVPR (2) 2005, 524-531. Web SearchBibTeXDownload
92Beyond Pairwise Clustering. Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David J. Kriegman, Serge Belongie. CVPR (2) 2005, 838-845. Web SearchBibTeXDownload
91Evaluation of Features Detectors and Descriptors Based on 3D Objects. Pierre Moreels, Pietro Perona. ICCV 2005, 800-807. Web SearchBibTeXDownload
90Learning Object Categories from Google's Image Search. Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman. ICCV 2005, 1816-1823. Web SearchBibTeXDownload
89Squaring the Circles in Panoramas. Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona. ICCV 2005, 1292-1299. Web SearchBibTeXDownload
88Combining Generative Models and Fisher Kernels for Object Recognition. Alex Holub, Max Welling, Pietro Perona. ICCV 2005, 136-143. Web SearchBibTeXDownload
87Local Shape from Mirror Reflections. Silvio Savarese, Min Chen, Pietro Perona. International Journal of Computer Vision (64): 31-67 (2005). Web SearchBibTeXDownload
2004
86What do reflections tell us about the shape of a mirror?. Silvio Savarese, Fei-Fei Li, Pietro Perona. APGV 2004, 115-118. Web SearchBibTeXDownload
85Is Bottom-Up Attention Useful for Object Recognition?. Ueli Rutishauser, Dirk Walther, Christof Koch, Pietro Perona. CVPR (2) 2004, 37-44. Web SearchBibTeXDownload
84Recognition by Probabilistic Hypothesis Construction. Pierre Moreels, Michael Maire, Pietro Perona. ECCV (1) 2004, 55-68. Web SearchBibTeXDownload
83A Visual Category Filter for Google Images. Robert Fergus, Pietro Perona, Andrew Zisserman. ECCV (1) 2004, 242-256. Web SearchBibTeXDownload
82Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. Silvio Savarese, Min Chen, Pietro Perona. ECCV (3) 2004, 468-481. Web SearchBibTeXDownload
81Self-Tuning Spectral Clustering. Lihi Zelnik-Manor, Pietro Perona. NIPS 2004. Web SearchBibTeXDownload
80Sampling Methods for Unsupervised Learning. Robert Fergus, Andrew Zisserman, Pietro Perona. NIPS 2004. Web SearchBibTeXDownload
79Common-Frame Model for Object Recognition. Pierre Moreels, Pietro Perona. NIPS 2004. Web SearchBibTeXDownload
78A taxonomy of visual recognition. Pietro Perona. VMV 2004, 187. Web SearchBibTeX
2003
77Decomposition of human motion into dynamics-based primitives with application to drawing tasks. Domitilla Del Vecchio, Richard M. Murray, Pietro Perona. Automatica (39): 2085-2098 (2003). Web SearchBibTeXDownload
76Object Class Recognition by Unsupervised Scale-Invariant Learning. Robert Fergus, Pietro Perona, Andrew Zisserman. CVPR (2) 2003, 264-271. Web SearchBibTeXDownload
75A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. Fei-Fei Li, Robert Fergus, Pietro Perona. ICCV 2003, 1134-1141. Web SearchBibTeXDownload
74Unsupervised Learning of Human Motion. Yang Song, Luis Goncalves, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (25): 814-827 (2003). Web SearchBibTeXDownload
73Visual Identification by Signature Tracking. Mario E. Munich, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (25): 200-217 (2003). Web SearchBibTeXDownload
72An Improved Scheme for Detection and Labelling in Johansson Displays. Claudio Fanti, Marzia Polito, Pietro Perona. NIPS 2003. Web SearchBibTeXDownload
71Mutual Boosting for Contextual Inference. Michael Fink, Pietro Perona. NIPS 2003. Web SearchBibTeXDownload
70The Emergence of Visual Categories - A Computational Perspective. Pietro Perona. SCIA 2003, 1-3. Web SearchBibTeXDownload
2002
69Implementation of a Shadow Carving System for Shape Capture. Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona. 3DPVT 2002, 12-23. Web SearchBibTeXDownload
68Human Action Recognition By Sequence of Movelet Codewords. Xiaolin Feng, Pietro Perona. 3DPVT 2002, 717-723. Web SearchBibTeXDownload
67Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. Silvio Savarese, Min Chen, Pietro Perona. 3DPVT 2002, 356-361. Web SearchBibTeXDownload
66Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. Silvio Savarese, Pietro Perona. ECCV (2) 2002, 759-774. Web SearchBibTeXDownload
65Visual Input for Pen-Based Computers. Mario E. Munich, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (24): 313-328 (2002). Web SearchBibTeXDownload
64A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. Alex Holub, Gilles Laurent, Pietro Perona. NIPS 2002, 229-236. Web SearchBibTeXDownload
2001
63Monocular Perception of Biological Motion in Johansson Displays. Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona. Computer Vision and Image Understanding (81): 303-327 (2001). Web SearchBibTeXDownload
62Local Analysis for 3D Reconstruction of Specular Surfaces. Silvio Savarese, Pietro Perona. CVPR (2) 2001, 738-745. Web SearchBibTeXDownload
61Learning Probabilistic Structure for Human Motion Detection. Yang Song, Luis Goncalves, Pietro Perona. CVPR (2) 2001, 771-777. Web SearchBibTeXDownload
60Shadow Carving. Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona. ICCV 2001, 190-197. Web SearchBibTeX
59Grouping and dimensionality reduction by locally linear embedding. Marzia Polito, Pietro Perona. NIPS 2001, 1255-1262. Web SearchBibTeXDownload
58Unsupervised Learning of Human Motion Models. Yang Song, Luis Goncalves, Pietro Perona. NIPS 2001, 1287-1294. Web SearchBibTeXDownload
2000
57Towards Detection of Human Motion. Yang Song, Xiaolin Feng, Pietro Perona. CVPR 2000, 1810-1817. Web SearchBibTeXDownload
56Towards Automatic Discovery of Object Categories. Markus Weber, Max Welling, Pietro Perona. CVPR 2000, 2101. Web SearchBibTeXDownload
55Unsupervised Learning of Models for Recognition. Markus Weber, Max Welling, Pietro Perona. ECCV (1) 2000, 18-32. Web SearchBibTeXDownload
54Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion. Yang Song, Luis Goncalves, Pietro Perona. ECCV (2) 2000, 719-733. Web SearchBibTeXDownload
53Viewpoint-Invariant Learning and Detection of Human Heads. Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona. FG 2000, 20-27. Web SearchBibTeXDownload
52An Intelligent Vision-Only Operator Interface for Dexterous Robots. Paolo Fiorini, Gene Chalfant, Yuichi Tsumaki, Enrico Di Bernardo, Pietro Perona. ICRA 2000, 2665-2670. Web SearchBibTeXDownload
51Bayesian reasoning on qualitative descriptions from images and speech. Gudrun Socher, Gerhard Sagerer, Pietro Perona. Image Vision Comput. (18): 155-172 (2000). Web SearchBibTeXDownload
50A Computational Model for Motion Detection and Direction Discrimination in Humans. Yang Song, Pietro Perona. Workshop on Human Motion 2000, 11. Web SearchBibTeXDownload
1999
49Visual Signature Verification Using Affine Arc-Length. Mario E. Munich, Pietro Perona. CVPR 1999, 2180-2186. Web SearchBibTeXDownload
48What Do Planar Shadows Tell About Scene Geometry?. Jean-Yves Bouguet, Markus Weber, Pietro Perona. CVPR 1999, 1514-1520. Web SearchBibTeXDownload
47Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. Mario E. Munich, Pietro Perona. ICCV 1999, 108-115. Web SearchBibTeXDownload
46Monocular Perception of Biological Motion - Detection and Labeling. Yang Song, Luis Goncalves, Enrico Di Bernardo, Pietro Perona. ICCV 1999, 805-812. Web SearchBibTeXDownload
453D Photography Using Shadows in Dual-Space Geometry. Jean-Yves Bouguet, Pietro Perona. International Journal of Computer Vision (35): 129-149 (1999). Web SearchBibTeXDownload
44A novel system architecture for real-time low-level vision. Arrigo Benedetti, Pietro Perona. ISCAS (3) 1999, 500-503. Web SearchBibTeXDownload
1998
43Scene Segmentation from 3D Motion. Xiaolin Feng, Pietro Perona. CVPR 1998, 225-231. Web SearchBibTeXDownload
42Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. Michael C. Burl, Pietro Perona. CVPR 1998, 535-540. Web SearchBibTeXDownload
41Real-Time 2-D Feature Detection on a Reconfigurable Computer. Arrigo Benedetti, Pietro Perona. CVPR 1998, 586-593. Web SearchBibTeXDownload
40Probablistic Affine Invariants for Recognition. Thomas K. Leung, Michael C. Burl, Pietro Perona. CVPR 1998, 678-684. Web SearchBibTeXDownload
39Camera-Based ID Verification by Signature Tracking. Mario E. Munich, Pietro Perona. ECCV (1) 1998, 782-796. Web SearchBibTeXDownload
38A Factorization Approach to Grouping. Pietro Perona, William T. Freeman. ECCV (1) 1998, 655-670. Web SearchBibTeXDownload
37A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. Michael C. Burl, Markus Weber, Pietro Perona. ECCV (2) 1998, 628-641. Web SearchBibTeXDownload
36Reach Out and Touch Space (Motion Learning). Luis Goncalves, Enrico Di Bernardo, Pietro Perona. FG 1998, 234-241. Web SearchBibTeX
353D Photography on Your Desk. Jean-Yves Bouguet, Pietro Perona. ICCV 1998, 43-52. Web SearchBibTeX
34Orientation diffusions. Pietro Perona. IEEE Transactions on Image Processing (7): 457-467 (1998). Web SearchBibTeXDownload
33Efficient deformable filter banks. Roberto Manduchi, Pietro Perona, Doug Shy. IEEE Transactions on Signal Processing (46): 1168-1173 (1998). Web SearchBibTeXDownload
32Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. Stefano Soatto, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (20): 943-960 (1998). Web SearchBibTeXDownload
31Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. Stefano Soatto, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (20): 933-942 (1998). Web SearchBibTeXDownload
30Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". Stefano Soatto, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (20): 1117 (1998). Web SearchBibTeXDownload
29Learning to Recognize Volcanoes on Venus. Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele. Machine Learning (30): 165-194 (1998). Web SearchBibTeXDownload
1997
28Orientation diffusions. Pietro Perona. CVPR 1997, 710-716. Web SearchBibTeXDownload
27Motion from Fixation. Stefano Soatto, Pietro Perona. Real-Time Imaging (3): 129-153 (1997). Web SearchBibTeXDownload
1996
26Modeling Subjective Uncertainty in Image Annotation. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona. Advances in Knowledge Discovery and Data Mining 1996, 517-539. Web SearchBibTeX
25Reducing "structure from motion". Stefano Soatto, Pietro Perona. CVPR 1996, 825-832. Web SearchBibTeXDownload
24Motion from fixation. Stefano Soatto, Pietro Perona. CVPR 1996, 817-824. Web SearchBibTeXDownload
23Recognition of Planar Object Classes. Michael C. Burl, Pietro Perona. CVPR 1996, 223-230. Web SearchBibTeXDownload
22Visual input for pen-based computers. Mario E. Munich, Pietro Perona. ICIP (2) 1996, 173-176. Web SearchBibTeXDownload
21Scale-Space Properties of Quadratic Feature Detectors. Paul Kube, Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (18): 987-999 (1996). Web SearchBibTeXDownload
1995
20Dynamic Rigid Motion Estimation from Weak Perspective. Stefano Soatto, Pietro Perona. ICCV 1995, 321. Web SearchBibTeXDownload
19Visual Navigation Using a Single Camera. Jean-Yves Bouguet, Pietro Perona. ICCV 1995, 645-652. Web SearchBibTeXDownload
18Monocular Tracking of the Human Arm in 3D. Enrico Di Bernardo, Luis Goncalves, Enrico Ursella, Pietro Perona. ICCV 1995, 764-770. Web SearchBibTeXDownload
17Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. Thomas K. Leung, Michael C. Burl, Pietro Perona. ICCV 1995, 637-644. Web SearchBibTeXDownload
16Pyramidal implementation of deformable kernels. Roberto Manduchi, Pietro Perona. ICIP 1995, 378-381. Web SearchBibTeXDownload
15Visual motion estimation from point features: unified view. Stefano Soatto, Pietro Perona. ICIP (3) 1995, 21-24. Web SearchBibTeXDownload
14Deformable Kernels for Early Vision. Pietro Perona. IEEE Trans. Pattern Anal. Mach. Intell. (17): 488-499 (1995). Web SearchBibTeXDownload
1994
13Scale-space Properties of Quadratic Edge Detectors. Paul Kube, Pietro Perona. ECCV (1) 1994, 115-122. Web SearchBibTeXDownload
12Motion Estimation on the Essential Manifold. Stefano Soatto, Ruggero Frezza, Pietro Perona. ECCV (2) 1994, 61-72. Web SearchBibTeXDownload
11Dynamic Visual Motion Estimation from Subspace Constraints. Stefano Soatto, Pietro Perona. ICIP (1) 1994, 333-337. Web SearchBibTeXDownload
10Diffusion Networks for On-Chip Image Contrast Normalization. Pietro Perona, Marco Tartagni. ICIP (1) 1994, 1-5. Web SearchBibTeXDownload
9Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. Stefano Soatto, Pietro Perona. ICIP (3) 1994, 58-62. Web SearchBibTeXDownload
8Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth. ICIP (3) 1994, 236-240. Web SearchBibTeXDownload
7Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona. KDD Workshop 1994, 109-120. Web SearchBibTeX
6Inferring Ground Truth from Subjective Labelling of Venus Images. Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi. NIPS 1994, 1085-1092. Web SearchBibTeXDownload
1992
5Steerable-Scalable Kernels for Edge Detection and Junction Analysis. Pietro Perona. ECCV 1992, 3-18. Web SearchBibTeXDownload
4Boundary Detection in Piecewise Homogeneous Textured Images. Stefano Casadei, Sanjoy K. Mitter, Pietro Perona. ECCV 1992, 174-183. Web SearchBibTeXDownload
3Steerable-scalable kernels for edge detection and junction analysis. Pietro Perona. Image Vision Comput. (10): 663-672 (1992). Web SearchBibTeXDownload
1990
2Detecting and localizing edges composed of steps, peaks and roofs. Pietro Perona, Jitendra Malik. ICCV 1990, 52-57. Web SearchBibTeXDownload
1Scale-Space and Edge Detection Using Anisotropic Diffusion. Pietro Perona, Jitendra Malik. IEEE Trans. Pattern Anal. Mach. Intell. (12): 629-639 (1990). Web SearchBibTeXDownload
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