Judy Hoffman

UC Berkeley, Computer Vision PhD Student

Software

Last update:

Some code packages implementing my recent papers. Questions? Contact me jhoffman _at_ eecs.berkeley.edu.

Package Description Dependencies
DeCAF DeCAF is a deep learning based feature (Donahue ICML`14). Check out the live demo here. -
LS-MMDT Faster implementation of MMDT which is integrated with a liblinear base package. This version should be used for large scale data sets. Makes use of the optimization algorithm presented at ICCV and NIPS recently (Rodner ICCV`13). -
MMDT Learns a category invariant transformation using max-margin constraints. Faster and better performance than da-transforms (Hoffman ICLR`13). liblinear-weights, arc-t
Domain Discovery Uses category constraints to automatically separate a heterogenous dataset into cohesive domains (Hoffman ECCV`12). libsvm, arc-t
ARC-t Learns a category invariant transform using similarity constraints. (Saenko ECCV`10, Kulis CVPR`11) -