15 citations · 21 across the 9 of their papers we have counts for
10 papers
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships
Futa Waseda, Antonio Tejero-de-Pablos, Isao Echizen
Pre-trained vision-language (VL) models are highly vulnerable to adversarial attacks. However, existing defense methods primarily focus on image classification, overlooking two key…
Improving segmentation of calcified and non-calcified plaques on CCTA-CPR scans via masking of the artery wall
Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose +7
The presence of plaques in the coronary arteries is a major risk to the patients' life. In particular, non-calcified plaques pose a great challenge, as they are harder to detect an…
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…
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…
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…
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…
Long-Term Human Video Generation of Multiple Futures Using Poses
Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta +1
Predicting future human behavior from an input human video is a useful task for applications such as autonomous driving and robotics. While most previous works predict a single fut…
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…
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…
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
Antonio Tejero-de-Pablos, Yuta Nakashima, Tomokazu Sato +3
Automatically generating a summary of sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports video summarization methods le…