Publications

Publication date: November 10, 2014

Stemming the flow of information in a social network

The 6th International Conference on Social Informatics

Balaji Vasan Srinivasan, A. Kumar, S. Gupta, K. Gupta
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence

Publication date: October 27, 2014

Analysis sparse coding models for image-based classification

IEEE International Conference on Image Processing

Sumit Shekhar, Vishal Patel, Rama Chellappa
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: October 1, 2014

Stopping Criteria for Non-negative Matrix Factorization Based Supervised and Semi-Supervised Source Separation

IEEE Signal Processing Letters

Francois Germain, Gautham Mysore
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: September 6, 2014

Consensus of Regression for Occlusion-Robust Facial Feature Localization

European Conference on Computer Vision

Xiang Yu, Zhe Lin, Jonathan Brandt, D. Metaxas
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: September 1, 2014

Recognizing Image Style

BMVC 2014

S. Karayev, Aaron Hertzmann, Holger Winnemöller, A. Agarwala, T. Darrell
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: June 24, 2014

Efficient Boosted Exemplar-Based Face Detection

Computer Vision and Pattern Recognition

Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: May 9, 2014

Exploiting Long-Term Temporal Dependencies in NMF using Recurrent Neural Networks with Application to Source Separation

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Nicolas Boulanger-Lewandowski, Gautham Mysore, Matthew Hoffman
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: May 9, 2014

Speech Decoloration based on the Product-of-Filters Model

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Dawen Liang, Daniel P. W. Ellis, Matthew Hoffman, Gautham Mysore
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: May 1, 2014

Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view

IEEE Signal Processing Magazine Special Issue on Source Separation and Applications

Paris Smaragdis, Cedric Fevotte, Gautham Mysore, Nasser Mohammadiha, Matthew Hoffman
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: April 26, 2014

ISSE: An Interactive Source Separation Editor

ACM Human Factors in Computing Systems (CHI)

Nicholas J. Bryan, Gautham Mysore, Ge Wang
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio
  • Adobe Research icon Human Computer Interaction

Publication date: April 1, 2014

Automatic scene inference for 3D object compositing

ACM Transactions on Graphics

K. Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, R. Fonte, M. Sittig, D. Forsyth
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon Graphics (2D & 3D)

Publication date: March 24, 2014

Unsupervised domain adaptation using parallel transport on Grassmann manifold

IEEE Winter conference on Applications of Computer Vision

Ashish Shrivastava, Sumit Shekhar, Vishal Patel
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: January 10, 2014

Topic-based Targeted Influence Maximization

Workshop on Social Networks – Science and Engineering, COMSNETS

Balaji Vasan Srinivasan, Anandhavelu Natarajan, A. Dalal, M. Yenugula, P. Srikanthan, A. Layek
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence

Publication date: December 10, 2013

beatDB: A Large Scale Waveform Feature Repository

NIPS 2013, Machine Learning for Clinical Data Analysis and Healthcare Workshop

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly
  • Adobe Research icon AI & Machine Learning

Publication date: December 10, 2013

MoocViz: A Large Scale, Open Access, Collaborative, Data Analytics Platform for MOOCs

NIPS 2013 Education Workshop

Franck Dernoncourt, Colin Taylor, Una-May O’Reilly, Kayan Veeramachaneni, Sherwin Wu, Chuong Do, Sherif Halawa
  • Adobe Research icon AI & Machine Learning
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Publication date: December 9, 2013

Preconditioned Krylov solvers for kernel regression

Workshop on Large Scale Matrix Analysis and Inference at Neural Information Processing Systems (NIPS)

Balaji Vasan Srinivasan, Q. Hu, N. Gumerov, R. Murtugudde, R. Duraiswami
  • Adobe Research icon AI & Machine Learning

Publication date: December 3, 2013

Motion-Aware KNN Laplacian for Video Matting

ICCV 2013

Dingzeyu Li, Qifeng Chen, Chi-Keung Tang
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: December 1, 2013

Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation

International Conference of Computer Vision

Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video

Publication date: December 1, 2013

Actor-Critic Algorithms for Risk-Sensitive MDPs

Proceedings of the Twenty-Seventh Annual Conference on Advances in Neural Information Processing Systems (NIPS-2013), pp. 252-260, 2013.

LA Prashanth, Mohammad Ghavamzadeh
Selected for Oral Presentation (%1.4 acceptance – 20 out of 1420 submissions)
  • Adobe Research icon AI & Machine Learning

Publication date: December 1, 2013

Approximate Dynamic Programming Finally Performs Well in the Game of Tetris

Proceedings of the Twenty-Seventh Annual Conference on Advances in Neural Information Processing Systems (NIPS-2013), pp. 1754-1762, 2013.

Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer
  • Adobe Research icon AI & Machine Learning
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