research
∙
08/21/2023
Joint learning of images and videos with a single Vision Transformer
In this study, we propose a method for jointly learning of images and vi...
share
research
∙
07/27/2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition
In this paper we propose an extension of the Attention Branch Network (A...
research
∙
04/19/2022
On the Performance Evaluation of Action Recognition Models on Transcoded Low Quality Videos
In the design of action recognition models, the quality of videos in the...
research
∙
04/15/2022
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition
In this paper, we propose a multi-domain learning model for action recog...
research
∙
04/01/2022
Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition
We propose Multi-head Self/Cross-Attention (MSCA), which introduces a te...
research
∙
04/01/2022
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition
In this paper, we propose a data augmentation method for action recognit...
research
∙
08/26/2021
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
In this paper we propose a novel method which leverages the uncertainty ...
research
∙
04/12/2020
Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions
We propose a novel approach to identify the difficulty of visual questio...
research
∙
04/10/2020
Rephrasing visual questions by specifying the entropy of the answer distribution
Visual question answering (VQA) is a task of answering a visual question...
research
∙
02/19/2020
On-line non-overlapping camera calibration net
We propose an easy-to-use non-overlapping camera calibration method. Fir...
research
∙
12/12/2019
Meaning guided video captioning
Current video captioning approaches often suffer from problems of missin...
research
∙
12/12/2019
Improved Activity Forecasting for Generating Trajectories
An efficient inverse reinforcement learning for generating trajectories ...
research
∙
12/12/2019
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis
In this paper, we propose a method for semantic segmentation of pedestri...
research
∙
09/27/2019
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
In this paper we propose a novel deep learning-based algorithm for biome...
research
∙
11/01/2018
Survey on Vision-based Path Prediction
Path prediction is a fundamental task for estimating how pedestrians or ...
research
∙
02/27/2018
Semantic segmentation of trajectories with agent models
In many cases, such as trajectories clustering and classification, we of...
research
∙
11/28/2017
Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories
We propose a feature for action recognition called Trajectory-Set (TS), ...
research
∙
12/15/2016
Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy
Colorectal endoscopy is important for the early detection and treatment ...
research
∙
11/08/2016
Domain Adaptation with L2 constraints for classifying images from different endoscope systems
This paper proposes a method for domain adaptation that extends the maxi...
research
∙
08/24/2016
Transfer Learning for Endoscopic Image Classification
In this paper we propose a method for transfer learning of endoscopic im...
research
∙
08/24/2016