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7 papers · 1 filter
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks
Zhuolin Jiang, Viktor Rozgic, Sancar Adali
Infrared (IR) imaging has the potential to enable more robust action recognition systems compared to visible spectrum cameras due to lower sensitivity to lighting conditions and ap…
Generating Discriminative Object Proposals via Submodular Ranking
Yangmuzi Zhang, Zhuolin Jiang, Xi Chen +1
A multi-scale greedy-based object proposal generation approach is presented. Based on the multi-scale nature of objects in images, our approach is built on top of a hierarchical se…
Learning Discriminative Features via Label Consistent Neural Network
Zhuolin Jiang, Yaming Wang, Larry Davis +2
Deep Convolutional Neural Networks (CNN) enforces supervised information only at the output layer, and hidden layers are trained by back propagating the prediction error from the o…
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
Shengxin Zha, Florian Luisier, Walter Andrews +2
We conduct an in-depth exploration of different strategies for doing event detection in videos using convolutional neural networks (CNNs) trained for image classification. We study…
Blockwise SURE Shrinkage for Non-Local Means
Yue Wu, Brian Tracey, Premkumar Natarajan +1
In this letter, we investigate the shrinkage problem for the non-local means (NLM) image denoising. In particular, we derive the closed-form of the optimal blockwise shrinkage for…
Probabilistic Non-Local Means
Yue Wu, Brian Tracey, Premkumar Natarajan +1
In this paper, we propose a so-called probabilistic non-local means (PNLM) method for image denoising. Our main contributions are: 1) we point out defects of the weight function us…