Publications

Publication date: April 19, 2015

Speech Dereverberation using a Learned Speech Model

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

Dawen Liang, Matt Hoffman, Gautham Mysore
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: April 19, 2015

Efficient Manifold Preserving Audio Source Separation using Locality Sensitive Hashing

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

Minje Kim, Paris Smaragdis, Gautham Mysore
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio

Publication date: April 4, 2015

Summarizing Customer Reviews through Aspects and Contexts

International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), 2015.

Prakhar Gupta, Sandeep Kumar, Kokil Jaidka
  • Adobe Research icon AI & Machine Learning

Publication date: March 18, 2015

Community Reaction – From Blogs to Facebook

ACM iKDD Conference on Data Science

Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Moumita Sinha
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence
  • Adobe Research icon Data Intelligence
  • Adobe Research icon Natural Language Processing

Publication date: March 12, 2015

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning

AAAI Spring Symposium Series, 2015

Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon Natural Language Processing

Publication date: December 12, 2014

Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation

Indian Conference on Computer Vision Graphics and Image Processing

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

Publication date: December 1, 2014

Algorithms for CVaR Optimization in MDPs

Proceedings of the Twenty-Eighth Annual Conference on Advances in Neural Information Processing Systems (NIPS-2014), pp. 3509-3517, 2014.

Yinlam Chow, Mohammad Ghavamzadeh
  • Adobe Research icon AI & Machine Learning

Publication date: December 1, 2014

Constrained Stochastic Optimal Control with a Baseline Performance Guarantee

Workshop on “From Bad Models to Good Policies”, Twenty-Eighth Annual Conference on Advances in Neural Information Processing Systems (NIPS-2014), Montreal, Canada, December 2014.

Yinlam Chow, Mohammad Ghavamzadeh
  • Adobe Research icon AI & Machine Learning

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
1 53 54 55 56 57 58 59 60