139 citations · 717 across the 57 of their papers we have counts for
4 papers · 1 filter
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian
Thanh-Toan Do, Anh-Dzung Doan, Duc-Thanh Nguyen +1
This paper proposes two approaches for inferencing binary codes in two-step (supervised, unsupervised) hashing. We first introduce an unified formulation for both supervised and un…
Learning to Hash with Binary Deep Neural Network
Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung
This work proposes deep network models and learning algorithms for unsupervised and supervised binary hashing. Our novel network design constrains one hidden layer to directly outp…
Embedding based on function approximation for large scale image search
Thanh-Toan Do, Ngai-Man Cheung
The objective of this paper is to design an embedding method that maps local features describing an image (e.g. SIFT) to a higher dimensional representation useful for the image re…
Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study
Yiren Zhou, Hossein Nejati, Thanh-Toan Do +2
We address the vehicle detection and classification problems using Deep Neural Networks (DNNs) approaches. Here we answer to questions that are specific to our application includin…