431 citations · 844 across the 46 of their papers we have counts for
7 papers · 1 filter
Learning to Recognize Objects by Retaining other Factors of Variation
Jiaping Zhao, Chin-kai Chang, Laurent Itti
Natural images are generated under many factors, including shape, pose, illumination etc. Most existing ConvNets formulate object recognition from natural images as a single task c…
Improved Deep Learning of Object Category using Pose Information
Jiaping Zhao, Laurent Itti
Despite significant recent progress, the best available computer vision algorithms still lag far behind human capabilities, even for recognizing individual discrete objects under v…
metricDTW: local distance metric learning in Dynamic Time Warping
Jiaping Zhao, Zerong Xi, Laurent Itti
We propose to learn multiple local Mahalanobis distance metrics to perform k-nearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dy…
Active Long Term Memory Networks
Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe +2
Continual Learning in artificial neural networks suffers from interference and forgetting when different tasks are learned sequentially. This paper introduces the Active Long Term…
shapeDTW: shape Dynamic Time Warping
Jiaping Zhao, Laurent Itti
Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data ali…
Detecting "Smart" Spammers On Social Network: A Topic Model Approach
Linqing Liu, Yao Lu, Ye Luo +3
Spammer detection on social network is a challenging problem. The rigid anti-spam rules have resulted in emergence of "smart" spammers. They resemble legitimate users who are diffi…
What can we learn about CNNs from a large scale controlled object dataset?
Ali Borji, Saeed Izadi, Laurent Itti
Tolerance to image variations (e.g. translation, scale, pose, illumination) is an important desired property of any object recognition system, be it human or machine. Moving toward…