activity
20182021
most citedCoronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization

1 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV20211 cited

Video Ads Content Structuring by Combining Scene Confidence Prediction and Tagging

Tomoyuki Suzuki, Antonio Tejero-de-Pablos

Video ads segmentation and tagging is a challenging task due to two main reasons: (1) the video scene structure is complex and (2) it includes multiple modalities (e.g., visual, au…

cs.CV2021

Efficient training for future video generation based on hierarchical disentangled representation of latent variables

Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta +1

Generating videos predicting the future of a given sequence has been an area of active research in recent years. However, an essential problem remains unsolved: most of the methods…

eess.IV20201 cited

Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization

Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane +8

Providing closed and well-connected boundaries of coronary artery is essential to assist cardiologists in the diagnosis of coronary artery disease (CAD). Recently, several deep lea…

cs.HC2019

Improved Optical Flow for Gesture-based Human-robot Interaction

Jen-Yen Chang, Antonio Tejero-de-Pablos, Tatsuya Harada

Gesture interaction is a natural way of communicating with a robot as an alternative to speech. Gesture recognition methods leverage optical flow in order to understand human motio…

cs.CV2018

Conditional Video Generation Using Action-Appearance Captions

Shohei Yamamoto, Antonio Tejero-de-Pablos, Yoshitaka Ushiku +1

The field of automatic video generation has received a boost thanks to the recent Generative Adversarial Networks (GANs). However, most existing methods cannot control the contents…

cs.CV2018

Visual Question Generation for Class Acquisition of Unknown Objects

Kohei Uehara, Antonio Tejero-De-Pablos, Yoshitaka Ushiku +1

Traditional image recognition methods only consider objects belonging to already learned classes. However, since training a recognition model with every object class in the world i…