22 citations · 45 across the 11 of their papers we have counts for
6 papers · 1 filter
Learning from Noisy Labels with Noise Modeling Network
Zhuolin Jiang, Jan Silovsky, Man-Hung Siu +3
Multi-label image classification has generated significant interest in recent years and the performance of such systems often suffers from the not so infrequent occurrence of incor…
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…
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…
Collaborative Receptive Field Learning
Shu Kong, Zhuolin Jiang, Qiang Yang
The challenge of object categorization in images is largely due to arbitrary translations and scales of the foreground objects. To attack this difficulty, we propose a new approach…
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification
Shu Kong, Zhuolin Jiang, Qiang Yang
We now know that mid-level features can greatly enhance the performance of image learning, but how to automatically learn the image features efficiently and in an unsupervised mann…
Sparse Dictionary-based Attributes for Action Recognition and Summarization
Qiang Qiu, Zhuolin Jiang, Rama Chellappa
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective funct…