Here’s a look at what I’ve been up to recently. My full publications/invited talks list is on my CV or Google Scholar If you’d like to know more about any of these works, feel free to contact me!

Recent publications

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets (pdf) Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell, on archive: arXiv:1511.06838, November 2015

Large-Scale Deep Learning on the YFCC100M Dataset (pdf) Karl Ni, Roger Pearce, Eric Wang, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, on archive: arXiv:1502.03409, February 2015

Image Superresolution Using Support Vector Regression (pdf) Karl S Ni, Truong Q Nguyen, IEEE Transactions on Image Processing, June 2006

Learning Features in Deep Learning Architectures with Unsupervised Kernel k-Means Karl Ni and Ryan Prenger, GlobalSIP, 2013

Selected lectures

GPU Technology Conference (GTC): Sampling Methods for Training Deep and Wide GPU/CPU Algorithms on Large-Scale Unstructured Multimedia, October 2016 Video

Center for Advanced Signal and Image Sciences (CASIS): Im2Vec: Mapping Images into a Semantic Vector Representation, May 2015

SIAM Conference on Parallel Processing for Scientific Computing: On Sparse Representations for Scalability in Image Pattern Matching, February 2011

SPIE International Conference on Optics and Photonics: Complex Function Estimation using a Stochastic Classification/Regression Framework: Specific Applications to Image Superresolution, August 2007