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ORCIDAshutosh Garg
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2020 – today
- 2022
[c25]Ruchi Dohare, Laxmi Thakare, Ashutosh Garg:
Vani: A Voice-Activated Network Assistant. COMSNETS 2022: 427-429
2000 – 2009
- 2007
- [c24]Abhinandan Das, Mayur Datar, Ashutosh Garg, Shyamsundar Rajaram:
Google news personalization: scalable online collaborative filtering. WWW 2007: 271-280 - 2005
- [b1]Nicu Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang:
Machine Learning in Computer Vision. Computational Imaging and Vision 29, Springer 2005, ISBN 978-1-4020-3274-5, pp. 1-224 - [c23]David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg:
Clustering with Model-level Constraints. SDM 2005: 126-137 - 2004
- [j5]Nuria Oliver
, Ashutosh Garg, Eric Horvitz:
Layered representations for learning and inferring office activity from multiple sensory channels. Comput. Vis. Image Underst. 96(2): 163-180 (2004) - [c22]Xiang Sean Zhou, Ashutosh Garg, Thomas S. Huang:
A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval. CIVR 2004: 353-364 - [c21]Ashutosh Garg, Sreeram Balakrishnan, Shivakumar Vaithyanathan:
Asynchronous HMM with applications to speech recognition. ICASSP (1) 2004: 1009-1012 - [c20]Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu:
Generalized Opinion Pooling. AI&M 2004 - 2003
- [j4]Ira Cohen, Nicu Sebe, Ashutosh Garg, Lawrence S. Chen, Thomas S. Huang:
Facial expression recognition from video sequences: temporal and static modeling. Comput. Vis. Image Underst. 91(1-2): 160-187 (2003) - [j3]Gerasimos Potamianos, Chalapathy Neti, Guillaume Gravier, Ashutosh Garg, Andrew W. Senior:
Recent advances in the automatic recognition of audiovisual speech. Proc. IEEE 91(9): 1306-1326 (2003) - [j2]Ashutosh Garg, Vladimir Pavlovic, James M. Rehg:
Boosted learning in dynamic Bayesian networks for multimodal speaker detection. Proc. IEEE 91(9): 1355-1369 (2003) - [c19]Shyamsundar Rajaram, Ashutosh Garg, Xiang Sean Zhou, Thomas S. Huang:
Classification Approach towards Banking and Sorting Problems. ECML 2003: 301-312 - [c18]Ashutosh Garg, Gerasimos Potamianos, Chalapathy Neti, Thomas S. Huang:
Frame-dependent multi-stream reliability indicators for audio-visual speech recognition. ICASSP (1) 2003: 24-27 - [c17]Ashutosh Garg, Gerasimos Potamianos, Chalapathy Neti, Thomas S. Huang:
Frame-dependent multi-stream reliability indicators for audio-visual speech recognition. ICME 2003: 605-608 - [c16]Ashutosh Garg, Dan Roth:
Margin Distribution and Learning. ICML 2003: 210-217 - [c15]Ashutosh Garg, Manfred K. Warmuth:
Inline updates for HMMs. INTERSPEECH 2003: 1005-1008 - 2002
- [j1]Vladimir Pavlovic, Ashutosh Garg, Simon Kasif:
A Bayesian framework for combining gene predictions. Bioinform. 18(1): 19-27 (2002) - [c14]Ira Cohen, Nicu Sebe, Ashutosh Garg, Michael S. Lew, Thomas S. Huang:
Facial expression recognition from video sequences. ICME (2) 2002: 121-124 - [c13]Nuria Oliver, Eric Horvitz, Ashutosh Garg:
Layered Representations for Human Activity Recognition. ICMI 2002: 3-8 - [c12]Ashutosh Garg, Sariel Har-Peled, Dan Roth:
On generalization bounds, projection profile, and margin distribution. ICML 2002: 171-178 - [c11]Nuria Oliver, Ashutosh Garg:
MMIHMM: Maximum Mutual Information Hidden Markov Models. ICML 2002: 466-473 - [c10]Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang:
Emotion Recognition Using a Cauchy Naive Bayes Classifier. ICPR (1) 2002: 17- - [c9]Ashutosh Garg, Shivani Agarwal, Thomas S. Huang:
Fusion of Global and Local Information for Object Detection. ICPR (3) 2002: 723- - [c8]Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang:
Bayesian Networks as Ensemble of Classifiers. ICPR (2) 2002: 779-784 - 2001
- [c7]Ashutosh Garg, Dan Roth:
Learning Coherent Concepts. ALT 2001: 135-150 - [c6]Ashutosh Garg, Dan Roth:
Understanding Probabilistic Classifiers. ECML 2001: 179-191 - [c5]Milind R. Naphade, Ashutosh Garg, Thomas S. Huang:
Duration Dependent Input Output Markov Models For Audio-Visual Event Detection. ICME 2001 - 2000
- [c4]Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang:
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034- - [c3]Ashutosh Garg, Vladimir Pavlovic, James M. Rehg:
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390 - [c2]Vladimir Pavlovic, Ashutosh Garg, James M. Rehg:
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316 - [c1]Ira Cohen, Ashutosh Garg, Thomas S. Huang:
Vision-Based Overhead View Person Recognition. ICPR 2000: 5119-5124
Coauthor Index
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