3 citations · 3 across the 10 of their papers we have counts for
10 papers
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Takahiro Shindo, Yui Tatsumi, Taiju Watanabe +1
Image compression technology eliminates redundant information to enable efficient transmission and storage of images, serving both machine vision and human visual perception. For y…
Classification in Japanese Sign Language Based on Dynamic Facial Expressions
Yui Tatsumi, Shoko Tanaka, Shunsuke Akamatsu +2
Sign language is a visual language expressed through hand movements and non-manual markers. Non-manual markers include facial expressions and head movements. These expressions vary…
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression
Takahiro Shindo, Taiju Watanabe, Yui Tatsumi +1
Image Coding for Machines (ICM) is becoming more important as research in computer vision progresses. ICM is a vital research field that pursues the use of images for image recogni…
Neural Video Representation for Redundancy Reduction and Consistency Preservation
Taiga Hayami, Takahiro Shindo, Shunsuke Akamatsu +1
Implicit neural representation (INR) embed various signals into neural networks. They have gained attention in recent years because of their versatility in handling diverse signal…
Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing
Takahiro Shindo, Yui Tatsumi, Taiju Watanabe +1
Scalable image coding for both humans and machines is a technique that has gained a lot of attention recently. This technology enables the hierarchical decoding of images for human…
Scalable Image Coding for Humans and Machines Using Feature Fusion Network
Takahiro Shindo, Taiju Watanabe, Yui Tatsumi +1
As image recognition models become more prevalent, scalable coding methods for machines and humans gain more importance. Applications of image recognition models include traffic mo…
Image Coding for Machines with Edge Information Learning Using Segment Anything
Takahiro Shindo, Kein Yamada, Taiju Watanabe +1
Image Coding for Machines (ICM) is an image compression technique for image recognition. This technique is essential due to the growing demand for image recognition AI. In this pap…
Image Coding for Machines with Object Region Learning
Takahiro Shindo, Taiju Watanabe, Kein Yamada +1
Compression technology is essential for efficient image transmission and storage. With the rapid advances in deep learning, images are beginning to be used for image recognition as…
VVC Extension Scheme for Object Detection Using Contrast Reduction
Takahiro Shindo, Taiju Watanabe, Kein Yamada +1
In recent years, video analysis using Artificial Intelligence (AI) has been widely used, due to the remarkable development of image recognition technology using deep learning. In 2…
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features
Takahiro Shindo, Taiju Watanabe, Kein Yamada +1
With advances in image recognition technology based on deep learning, automatic video analysis by Artificial Intelligence is becoming more widespread. As the amount of video used f…