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Large Scale Recognition in Computer Vision

PerSci Forum, Keynote Speaker: Dr. Alexander C. Berg

From Monday, May 07, 2012 -  11:00am
To Sunday, May 06, 2012 - 12:00am

Stony Brook University, Department of Computer Science

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Recognition in computer vision is beginning to work -- one of the hot current lines of inquiry is what we should be recognizing. Recent work -- our own and others -- has explored increasing the "label space" for recognition toward large numbers of semantic labels embedded in a hierarchy, toward multiple attribute labels, and toward detailed spatial parsing. Predictions of these labels are improving results on problems from face recognition to large scale similar image retrieval. At the same time there are unavoidable challenges in large scale computation that must be met. I will present some of our results in each of these directions and try to motivate some of the wide open problems in this area.

Related papers:

Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition

Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

CVPR 2012 (Providence)

 

DCMSVM: Distributed Parallel Training For Single-Machine Multiclass Classifiers

Xufeng Han, Alexander C. Berg

CVPR 2012 (Providence)

 

Collective Generation of Natural Image Descriptions

Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara Berg Yejin Choi

ACL 2012 (Jeju)

 

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition

Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei Li

NIPS 2011 (Granada)

 

Describable Visual Attributes for Face Verification and Image Search

Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, Shree K. Nayar

IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), October 2011

 

Hierarchical Semantic Indexing for Large Scale Image Retrieval

Jia Deng, Alexander C. Berg, Li Fei-Fei

CVPR 2011 (Colorado Springs)

Bio:

Alex Berg's research concerns computational visual recognition. He has worked on general object recognition in images, action recognition in video, human pose identification in images, image parsing, face recognition, image search, and efficient large scale machine learning for computer vision. He is currently an assistant professor in the computer science department at Stony Brook University. Prior to that he was a research scientist at Columbia University and Yahoo! Research. His PhD at U.C. Berkeley developed a novel approach to deformable template matching. He earned a BA and MA in Mathematics from Johns Hopkins University and learned to race sailboats at SSA in Annapolis.

PerSci Forum, Keynote Speaker: Dr. Alexander C. Berg