Invited/Conference Talks

• Face Detection: Where we are and what next?. Mysore Park Workshop on Computer Vision. December 2011.
• Online Domain-Adaptation of a Pre-Trained Cascade of Classifiers. CVPR'11. June 2011.
• Learning to Re-Rank: Query-Dependent Image Re-Ranking using Click Data. WWW'11. March 2011.
• Mining Context for Recognizing People in Images. University of Rochester. Fall 2008.
• Mining Context for Recognizing People in Images. Seminar for research experience for undergraduates (REU) program at UMass Amherst. Fall 2008.
• Exploiting Domain-Specific Saliency for Event Classification. Kodak Research Labs. Summer 2007.
• People-LDA: Anchoring Topics to People Using Face Recognition. Machine Learning and Friends' Lunch Seminar. Spring 2007.

Guest Lectures

• Artificial Intelligence: In our day-to-day life. Artificial Intelligence. Fall 2009.

Research Lab Discussions

• Selective Hidden Random Fields: Exploiting Domain-Specific Saliency for Event Classification. Spring 2008.
• Visual Codebooks. Spring 2007.
• Clustering faces using a hyper-feature based topic model. Fall 2006.
• Informative Features. Fall 2005.

Class Presentations

• Compact Representations for "Large-scale" Computation. Representation Discovery and Spectral Methods. Spring 2009.
• Discussion on Generative versus Discriminative models. Advanced Information Retrieval. Spring 2008.
• Information in Manifolds. Manifolds and Information Geometry. Spring 2005.
• Maximum Entropy in Action. Machine Learning. Fall 2004.
• Face Recognition. Machine Learning. Fall 2004.
• Resource Selection for Distributed Information Retrieval. Information Retrieval. Fall 2004.
• Spatial and Temporal Processing in Auditory Networks. Modeling the brain, Perception and learning. Fall 2004.