116 citations · 430 across the 65 of their papers we have counts for
3 papers · 2 filters
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
Xenju Xu, Guanghui Wang, Alan Sullivan +1
In this paper we propose integrating a priori knowledge into both design and training of convolutional neural networks (CNNs) to learn object representations that are invariant to…
Unsupervised Deep Feature Transfer for Low Resolution Image Classification
Yuanwei Wu, Ziming Zhang, Guanghui Wang
In this paper, we propose a simple while effective unsupervised deep feature transfer algorithm for low resolution image classification. No fine-tuning on convenet filters is requi…
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
Esra Ataer-Cansizoglu, Michael Jones, Ziming Zhang +1
Face super-resolution methods usually aim at producing visually appealing results rather than preserving distinctive features for further face identification. In this work, we prop…