431 citations · 844 across the 46 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…