Publications

Some of the codes can be available in islab-sophia@GitHub

Journal Papers

Takao Yamanaka, Tatsuya Suzuki, Taiki Nobutsune, and Chenjunlin Wu, "Multi-Scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias," IEICE Transactions on Information and Systems, Vol. E106-D, No. 10, 2023, pp. 1723-1731. IEICE | arXiv | GitHub

Taiki Oyama and Takao Yamanaka, "Influence of Image Classification Accuracy on Saliency Map Estimation," CAAI Transactions on Intelligence Technology, vol. 3, issue 3, 2018, pp. 140-152. IET Digital Library | arXiv

Models of DenseSal and DPNSal in MIT Saliency Benchmark

Conference Papers

Atsuya Nakata, Ryuto Miyazaki, and Takao Yamanaka, "Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer," Asian Conference on Pattern Recognition (ACPR), 2023, Kitakyusyu, Japan. arXiv | GitHub

Hinata Aoki and Takao Yamanaka, "Improving NeRF with Height Data for Utilization of GIS Data," IEEE International Conference on Image Processing (ICIP), 2023, Kuala Lumpur, Malaysia. arXiv

Kensuke Mukai and Takao Yamanaka, "Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding," IEEE International Conference on Image Processing (ICIP), 2023, Kuala Lumpur, Malaysia. arXiv | GitHub

Keisuke Okubo and Takao Yamanaka, “Omni-Directional Image Generation from Single Snapshot Image,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, Tronto, Canada (Virtual Conference). arXiv | GitHub

Reo Ogusu and Takao Yamanaka, "LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation," The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG) , 2019, Lille, France. arXiv

Tatsuya Suzuki and Takao Yamanaka, "Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions," IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, Miyazaki, Japan. arXiv

Taiki Oyama and Takao Yamanaka, "Fully Convolutional DenseNet for Saliency-Map Prediction," The 4th Asian Conference on Pattern Recognition (ACPR), November 26-29, 2017, Nanjing, China.

Best Student Paper Award

Here is an extended version of the paper in Special Issue at CAAI Transactions on Intelligence Technology

Technical Reports

鳩貝拓海，山中高夫，各時刻における事前情報を活用した動画の顕著性マップ推定，電子情報通信学会PRMU研究会，東京，Oct. 2022.

宮崎龍斗，田畠誠大，山中高夫，階層型全天球画像生成モデル，電子情報通信学会PRMU研究会，東京，Oct. 2022.

中田敦也, 山中高夫, MLPMixerを用いた全天球画像生成, 第25回画像の認識・理解シンポジウム, 姫路, July 26-28, 2022.

Keisuke Okubo and Takao Yamanaka, "Omni-Directional Image Representation in GAN-based Image Generator," 電子情報通信学会PRMU研究会，オンライン，Oct. 2021.

鳩貝拓海，山中高夫，パッチベースCNNによる全天球画像のシーン認識，電子情報通信学会PRMU研究会，オンライン，May 2021.

向井健祐，山中高夫，条件付き畳み込み層によるマルチタスク学習，電子情報通信学会PRMU研究会，オンライン，May 2021.

佐藤美奈子，山中高夫，下方から取得した画像を用いたペンの持ち方による個人認証，電子情報通信学会BioX研究会, 東京，March 2018.

鈴木達哉，山中高夫，事前分布を考慮した全天球画像の顕著性マップ推定，電子情報通信学会PRMU研究会, 東京，March 2018.

伊藤晃洋，山中高夫，料理画像認識と材料推定の同時学習モデル，電子情報通信学会PRMU研究会, 東京，March 2018.

Reo Ogusu, Takao Yamanaka, "Estimating 2D gaze coordinates from efficiently compressed face images," 電子情報通信学会PRMU研究会, Tokyo, March 2018. PDF

小山大輝，山中高夫, DenseNetを利用した顕著性マップ推定，第20回画像の認識・理解シンポジウム, 広島, August 2017.

山中高夫, センターバイアスの影響を考慮した顕著性マップの評価指標，電子情報通信学会PRMU研究会，富山，September, 2016.

馬場知弘，山中高夫, 対数尤度を用いた顕著性マップ評価指標の構築, 第18回画像の認識・理解シンポジウム，大阪，July 27-30, 2015, SS3-18.

山中高夫, 馬場貴弘, 有効周波数成分を利用した位相限定相関法による掌紋認証, 第3回バイオメトリクスと認識・認証シンポジウム, 東京, November, 2013.