activity
20172023
most citedEfficient (nonrandom) construction and decoding for non-adaptive group testing

10 citations · 38 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023★ 3 cited

Image-Based Virtual Try-on System With Clothing-Size Adjustment

Minoru Kuribayashi, Koki Nakai, Nobuo Funabiki

The conventional image-based virtual try-on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body informa…

cs.CV2023★ 2 cited

HDR image watermarking using saliency detection and quantization index modulation

Ahmed Khan, Minoru Kuribayashi, KokSheik Wong +1

High-dynamic range (HDR) images are circulated rapidly over the internet with risks of being exploited for unauthorized usage. To protect these images, some HDR image based waterma…

cs.CR2022★ 2 cited

Reversible Data Hiding in Encrypted Text Using Paillier Cryptosystem

Asad Malik, Aeyan Ashraf, Hanzhou Wu +1

Reversible Data Hiding in Encrypted Domain (RDHED) is an innovative method that can keep cover information secret and allows the data hider to insert additional information into it…

cs.CV2022★ 3 cited

A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals

Abid Hasan Zim, Aeyan Ashraf, Aquib Iqbal +2

Rolling bearings are the most crucial components of rotating machinery. Identifying defective bearings in a timely manner may prevent the malfunction of an entire machinery system.…

cs.CR2021

Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code

Minoru Kuribayashi, Tatsuya Yasui, Asad Malik +1

To ensure protection of the intellectual property rights of DNN models, watermarking techniques have been investigated to insert side-information into the models without seriously…

cs.LG2019★ 2 cited

Detecting and Correcting Adversarial Images Using Image Processing Operations

Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi +1

Deep neural networks (DNNs) have achieved excellent performance on several tasks and have been widely applied in both academia and industry. However, DNNs are vulnerable to adversa…

cs.IT2019

Efficient and error-tolerant schemes for non-adaptive complex group testing and its application in complex disease genetics

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1

The goal of combinatorial group testing is to efficiently identify up to defective items in a large population of items, where . Defective items satisfy certain pr…

cs.IT2019★ 2 cited

Improved encoding and decoding for non-adaptive threshold group testing

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1

The goal of threshold group testing is to identify up to defective items among a population of items, where is usually much smaller than . A test is positive if it h…

cs.IT2018★ 6 cited

A framework for generalized group testing with inhibitors and its potential application in neuroscience

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1

The main goal of group testing with inhibitors (GTI) is to efficiently identify a small number of defective items and inhibitor items in a large set of items. A test on a subset of…

cs.IT2018★ 2 cited

Sublinear decoding schemes for non-adaptive group testing with inhibitors

Thach V. Bui, Minoru Kuribayashi, Tetsuya Kojima +1

Identification of up to defective items and up to inhibitors in a set of items is the main task of non-adaptive group testing with inhibitors. To efficiently reduce the…

cs.IT2018★ 10 cited

Efficient (nonrandom) construction and decoding for non-adaptive group testing

Thach V. Bui, Minoru Kuribayashi, Tetsuya Kojima +2

The task of non-adaptive group testing is to identify up to defective items from items, where a test is positive if it contains at least one defective item, and negative ot…

cs.IT2018

Efficient Decoding Schemes for Noisy Non-Adaptive Group Testing when Noise Depends on Number of Items in Test

Thach V. Bui, Tetsuya Kojima, Minoru Kuribayashi +1

The goal of non-adaptive group testing is to identify at most defective items from items, in which a test of a subset of items is positive if it contains at least one d…

cs.IT2017★ 1 cited

Efficiently Decodable Non-Adaptive Threshold Group Testing

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1

We consider non-adaptive threshold group testing for identification of up to defective items in a set of items, where a test is positive if it contains at least $2 \leq u \…

cs.IT2017★ 5 cited

Non-Adaptive Group Testing Framework based on Concatenation Code

Thach V. Bui, Minoru Kuribayashi, Isao Echizen

We consider an efficiently decodable non-adaptive group testing (NAGT) problem that meets theoretical bounds. The problem is to find a few specific items (at most ) satisfying c…