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ORCID6th IVSP 2024: Ikuta, Japan
- 2024 6th International Conference on Image, Video and Signal Processing, IVSP 2024, Ikuta, Japan, March 14-16, 2024. ACM 2024
- Wen-Chuan Wu
, Zi-Jie Wei, Yu-Wei Zhang, Ya-Chun Kang:
Mixed Reality Smart Glasses for Local Cultural Learning: A Case Representation of Kavalan Traditional Culture. 1-7 - Nitish Jaiswal, Vi Duc Huan, Felix Limanta, Koichi Shinoda, Masahiro Wakasa:
Domain-Specific Adaptation for Enhanced Gait Recognition in Practical Scenarios. 8-15 - Lu Chen, Xinwei Luo, Hanlu Zhou:
A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning. 16-24 - Takato Ueno, Yixiao Tong, Naoki Igo, Kiyoshi Hoshino:
A Transfer Function Model for Eye Rotation Movement and its Parameter Identification. 25-34 - Khayrul Bashar, Yusei Fujimoto, Yuichiro Kaneoka:
EasyClick: A New Web-based Image Annotation Tool for Person Re-identification Using Deep Learning. 35-44 - Chih-Wei Chang, Jung-San Lee, Yung-Chen Chou:
Enhancing Data Embedding Capacity in Encrypted Images via Adaptive MSB Prediction. 45-53 - Rebeka Sultana, Hibiki Horibe, Tomoaki Murakami, Ikuko Shimizu:
Cancer Cytoplasm Segmentation from Cell Image Based on Transfer Learning. 54-60 - Priyanshu Singh Yadav, Bhupendra Gupta, Subir Singh Lamba:
Exposure-Based contrast enhancement method for low contrast Images using the entropy curve. 61-66 - Yun Bai:
Enhancing Image Matching for 3D Reconstruction via Deep Learning with Key.Net and AdaLAM. 67-72 - Aihua Zhang, Thelma D. Palaoag:
Underwater Fish Tracking Algorithm Based on ViBE Detection and Covariance Matrix. 73-78 - Yue Zhou, Yutong Jiang, Zhonglin Yang, Yang Yang, Ying Wang:
YOLO-HAMFF: A UAV detection model based on the hybrid attention and multi-level feature fusion for the YOLOv8 model. 79-85 - Aditi Sridhar, Anagha B. N, Tushar Radhakrishnan, Shikha Tripathi:
Underwater Image Enhancement Using Image Dehazer and Multiscale Retinex. 86-94 - Yung-Chen Chou, Alfrindo Lin, Wan-Pei Chen, Yuan-Yu Tsai:
Reversible Data Hiding in Encrypted Point Clouds Using Virtual Points and Multi-MSB Prediction. 95-103 - Yoshiki Inazu, Hideaki Kimata:
Study on Learned RGBA Image Compression Using Loss Function Based on Alpha Channel. 104-110 - Hiromasa Yamanishi, Ling Xiao, Toshihiko Yamasaki:
HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network. 111-120 - Shotaro Kaneko, Yuichiro Arima, Masahiro Migita, Masashi Toda:
3D Quantitative Analysis Method of Microvessels Using Mouse Myocardial Tissue Images without Contrast Medium. 121-128 - Aniket Arun Gangotri, Atul Gururaj Kulkarni, Sai Nagendran J, Shikha Tripathi:
A Dynamic Disparity Range Aggregation Method for Multi-baseline Stereo Matching. 129-134 - Jian-Yi Chen, Bing-Zhao Li:
Riesz Transform Associated with Linear Canonical Transform: Definition and Its Application in Envelope Detection. 135-141 - Ohidujjaman, Yosuke Sugiura, Tetsuya Shimamura, Hisanori Makinae:
Packet Loss Concealment Using Regularized Modified Linear Prediction through Bone-Conducted Speech. 142-146 - Bowen Tang, Kiyofumi Tanaka:
An Efficient Real-Time Pitch Correction System via Field-Programmable Gate Array. 147-154 - Kikuo Asai:
Regressing Variations of Joint Angles for Continuously Estimating Hand Finger Movements From sEMG Signals Using Recurrent Neural Networks. 155-161 - Yu Zhang:
Discrete Linear Canonical Transform on Graphs: Fast Sampling Set Selection Method. 162-170 - Yi-Hui Chen, Meng-Yu Tsai, Shih-Hsin Chen:
Joint Steganography and Encryption Techniques for Security Enhancement Using Deep Learning Models. 171-174 - Xiang Hao, Liejun Wang, Lijun He, Fan Li:
Ensemble Learning for Soil Moisture Estimation: A Case Study of the Tibetan Plateau. 175-184 - Shun Matsukawa, Akihiro Suzuki, Komei Arasawa, Hiroki Matsuzaki:
Drum groove visualization using information distribution maps at LSTM variational autoencoder. 185-191 - Amanda Zambrana, Loreen Fanek, Pablo Salar Carrera, Md Liakat Ali, Mourya Reddy Narasareddygari:
Machine Learning Algorithms for Diabetes Diagnosis Prediction. 192-199 - Sora Suegami, Yutaro Oguri, Zaiying Zhao, Yu Kagaya, Toshihiko Yamasaki:
Self-examination Mechanism: Improving Standard Accuracy in Adversarial Purification. 200-206 - Yusei Fujimoto, Khayrul Bashar:
Automatic classification of multi-attributes from person images using GPT-4 Vision. 207-212 - Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki:
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. 213-220
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