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Books and Theses
- 1997
[b1]Baback Moghaddam:
Probabilistic visual learning for object detection. Massachusetts Institute of Technology, Cambridge, MA, USA, 1997
Journal Articles
- 2009
- [j11]Max Bajracharya, Baback Moghaddam, Andrew Howard, Shane Brennan, Larry H. Matthies:
A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle. Int. J. Robotics Res. 28(11-12): 1466-1485 (2009) - 2004
- [j10]Baback Moghaddam, Qi Tian, Neal Lesh, Chia Shen, Thomas S. Huang:
Visualization and User-Modeling for Browsing Personal Photo Libraries. Int. J. Comput. Vis. 56(1-2): 109-130 (2004) - [j9]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans. Image Process. 13(11): 1491-1506 (2004) - 2002
- [j8]Baback Moghaddam, Ming-Hsuan Yang:
Learning Gender with Support Faces. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 707-711 (2002) - [j7]Baback Moghaddam:
Principal Manifolds and Probabilistic Subspaces for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24(6): 780-788 (2002) - 2001
- [j6]Baback Moghaddam, Chahab Nastar, Alex Pentland:
A Bayesian similarity measure for deformable image matching. Image Vis. Comput. 19(5): 235-244 (2001) - [j5]Baback Moghaddam, Henning Biermann, Dimitris Margaritis:
Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval. Multim. Tools Appl. 14(2): 201-210 (2001) - 2000
- [j4]Baback Moghaddam, Tony Jebara, Alex Pentland:
Bayesian face recognition. Pattern Recognit. 33(11): 1771-1782 (2000) - 1997
- [j3]Chahab Nastar, Baback Moghaddam, Alex Pentland:
Flexible Images: Matching and Recognition Using Learned Deformations. Comput. Vis. Image Underst. 65(2): 179-191 (1997) - [j2]Baback Moghaddam, Alex Pentland:
Probabilistic Visual Learning for Object Representation. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 696-710 (1997) - 1993
- [j1]Clayton V. Stewart, Baback Moghaddam, Kenneth J. Hintz, Leslie M. Novak:
Fractional Brownian motion models for synthetic aperture radar imagery scene segmentation. Proc. IEEE 81(10): 1511-1522 (1993)
Conference and Workshop Papers
- 2012
- [c45]S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Baback Moghaddam, Mike Turmon:
Flashes in a star stream: Automated classification of astronomical transient events. eScience 2012: 1-8 - 2011
- [c44]S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew J. Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen:
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. CIDU 2011: 174-188 - 2009
- [c43]Baback Moghaddam, Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy:
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models. NIPS 2009: 1285-1293 - 2006
- [c42]Baback Moghaddam, Yair Weiss, Shai Avidan:
Generalized spectral bounds for sparse LDA. ICML 2006: 641-648 - 2005
- [c41]Kuang-Chih Lee, Baback Moghaddam:
A Practical Face Relighting Method for Directional Lighting Normalization. AMFG 2005: 155-169 - [c40]Jinho Lee, Baback Moghaddam, Hanspeter Pfister
, Raghu Machiraju:
A Bilinear Illumination Model for Robust Face Recognition. ICCV 2005: 1177-1184 - [c39]Baback Moghaddam, Yair Weiss, Shai Avidan:
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms. NIPS 2005: 915-922 - [c38]Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Raghu Machiraju:
Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model. Rendering Techniques 2005: 73-82 - 2004
- [c37]Jinho Lee, Baback Moghaddam, Hanspeter Pfister, Raghu Machiraju:
Finding Optimal Views for 3D Face Shape Modeling. FGR 2004: 31-36 - [c36]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Intra-Personal Kernel Space for Face Recognition. FGR 2004: 235-240 - 2003
- [c35]Baback Moghaddam, Jinho Lee, Hanspeter Pfister, Raghu Machiraju:
Model-Based 3D Face Capture with Shape-from-Silhouettes. AMFG 2003: 20-27 - [c34]Baback Moghaddam, David Guillamet, Jordi Vitrià:
Local Appearance-Based Models using High-Order Statistics of Image Features. CVPR (1) 2003: 729-735 - [c33]Jinho Lee, Baback Moghaddam, Hanspeter Pfister, Raghu Machiraju:
Silhouette-Based 3D Face Shape Recovery. Graphics Interface 2003: 21-30 - [c32]David Guillamet, Baback Moghaddam, Jordi Vitrià:
Modeling High-Order Dependencies in Local Appearance Models. IbPRIA 2003: 308-316 - [c31]David Guillamet, Baback Moghaddam, Jordi Vitrià:
Higher-order dependencies in local appearance models. ICIP (1) 2003: 213-216 - [c30]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Adaptive visual tracking and recognition using particle filters. ICME 2003: 349-352 - 2002
- [c29]Qi Tian, Baback Moghaddam, Thomas S. Huang:
Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries. CIVR 2002: 7-16 - [c28]Gregory Shakhnarovich, Paul A. Viola, Baback Moghaddam:
A Unified Learning Framework for Real Time Face Detection and Classification. FGR 2002: 16-26 - [c27]Baback Moghaddam, Qi Tian, Neal Lesh, Chia Shen, Thomas S. Huang:
PDH: a human-centric interface for image libraries. ICME (1) 2002: 901-904 - [c26]Baback Moghaddam, Xiang Zhou:
Factorized Local Appearance Models. ICPR (3) 2002: 553-556 - [c25]David Guillamet, Baback Moghaddam:
Joint Distribution of Local Image Features for Appearance Modeling. MVA 2002: 346-349 - [c24]Baback Moghaddam, Gregory Shakhnarovich:
Boosted Dyadic Kernel Discriminants. NIPS 2002: 745-752 - 2001
- [c23]Chia Shen, Neal Lesh, Baback Moghaddam, Paul A. Beardsley, Ryan Scott Bardsley:
Personal digital historian: user interface design. CHI Extended Abstracts 2001: 29-30 - [c22]Baback Moghaddam, Chahab Nastar, Alex Pentland:
Bayesian Face Recognition with Deformable Image Models. ICIAP 2001: 26-35 - [c21]Xiang Sean Zhou, Baback Moghaddam, Thomas S. Huang:
ICA-based probabilistic local appearance models. ICIP (1) 2001: 161-164 - [c20]Baback Moghaddam, Qi Tian, Thomas S. Huang:
Spatial Visualization For Content-Based Image Retrieval. ICME 2001 - [c19]Qi Tian, Baback Moghaddam, Thomas S. Huang:
Display Optimization for Image Browsing. MDIC 2001: 167-178 - 2000
- [c18]Baback Moghaddam, Ming-Hsuan Yang:
Gender Classification with Support Vector Machines. FG 2000: 306-313 - [c17]Ming-Hsuan Yang, Baback Moghaddam:
Gender Classification Using Support Vector Machines. ICIP 2000: 471-474 - [c16]Baback Moghaddam, Henning Biermann, Dimitris Margaritis:
Image Retrieval with Local and Spatial Queries. ICIP 2000: 542-545 - [c15]Ming-Hsuan Yang, Baback Moghaddam:
Support Vector Machines for Visual Gender Classification. ICPR 2000: 5115-5118 - [c14]Baback Moghaddam, Ming-Hsuan Yang:
Sex with Support Vector Machines. NIPS 2000: 960-966 - 1999
- [c13]Baback Moghaddam:
Principal Manifolds and Bayesian Subspaces for Visual Recognition. ICCV 1999: 1131-1136 - [c12]Baback Moghaddam, Alex Pentland:
Bayesian Image Retrieval in Biometric Databases. ICMCS, Vol. 2 1999: 610-615 - 1998
- [c11]Baback Moghaddam, Wasiuddin Wahid, Alex Pentland:
Beyond Eigenfaces: Probabilistic Matching for Face Recognition. FG 1998: 30-35 - [c10]Baback Moghaddam, Tony Jebara, Alex Pentland:
Efficient MAP/ML similarity matching for visual recognition. ICPR 1998: 876-881 - [c9]Baback Moghaddam, Tony Jebara, Alex Pentland:
Bayesian Modeling of Facial Similarity. NIPS 1998: 910-916 - 1996
- [c8]Trevor Darrell, Baback Moghaddam, Alex Pentland:
Active Face Tracking and Pose Estimation in an Interactive Room. CVPR 1996: 67-72 - [c7]Baback Moghaddam, Chahab Nastar, Alex Pentland:
Bayesian face recognition using deformable intensity surfaces. CVPR 1996: 638-645 - [c6]Chahab Nastar, Baback Moghaddam, Alex Pentland:
Generalized Image Matching: Statistical Learning of Physically-Based Deformations. ECCV (1) 1996: 589-598 - [c5]Baback Moghaddam, Chahab Nastar, Alex Pentland:
A Bayesian similarity measure for direct image matching. ICPR 1996: 350-358 - 1995
- [c4]Baback Moghaddam, Alex Pentland:
An Automatic System for Model-Based Coding of Faces. Data Compression Conference 1995: 362-370 - [c3]Baback Moghaddam, Alex Pentland:
Probabilistic Visual Learning for Object Detection. ICCV 1995: 786-793 - [c2]Baback Moghaddam, Alex Pentland:
A subspace method for maximum likelihood target detection. ICIP (3) 1995: 512-515 - 1994
- [c1]Alex Pentland, Baback Moghaddam, Thad Starner:
View-based and modular eigenspaces for face recognition. CVPR 1994: 84-91
Parts in Books or Collections
- 2011
- [p1]Gregory Shakhnarovich, Baback Moghaddam:
Face Recognition in Subspaces. Handbook of Face Recognition 2011: 19-49
Coauthor Index
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