Search Results for author: Sirawaj Itthipuripat

Found 2 papers, 1 papers with code

Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result

no code implementations • 18 Jun 2021 • Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul

Supervised deep convolutional neural networks (DCNNs) are currently one of the best computational models that can explain how the primate ventral visual stream solves object recognition.

Object Recognition reinforcement-learning +1

Paper
Add Code

An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection

1 code implementation • 24 Jan 2020 • Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul

In this work, we propose a framework, called SPLIT, which allows us to disentangle local and global information into two separate sets of latent variables within the variational autoencoder (VAE) framework.

Clustering Deep Clustering +5

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.