過去のお知らせ
世界最高峰の信号処理に関する国際会議 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)にメディアダイナミクス研究室より投稿した7件の論文全てが採録されました！
ICASSPは、IEEE Signal Processing Societyのフラグシップカンファレンスであり、Google ScholarのSignal Processingのカテゴリで1位にランクする国際会議です。
(1) Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Self-knowledge Distillation Based Self-supervised Learning for COVID-19 Detection from Chest X-Ray Images”
(2) Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama: “TriBYOL: Triplet BYOL for Self-supervised Representation Learning”
(3) Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama: Divergence-guided Feature Alignment for Cross-domain Object Detection”
(4) Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Generative Adversarial Network Including Referring Image Segmentation for Text-guided Image Manipulation”
(5) Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-view Data Integration”
(6) Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering”
(7) Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Human Emotion Recognition Using Multi-modal Biological Signals Based on Time Lag-considered Correlation Maximization”