Toru Tamaki

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Toru Tamaki received his B.E., M.S. and Ph.D degrees in information engineering from Nagoya University, Japan, in 1996, 1998 and 2001, respectively. After being an assistant professor at Niigata University, Japan, from 2001 to 2005 and an associate professor at Hiroshima University, Japan, from 2005 to 2020, he is a professor at Nagoya Institute of Technology, Japan. His research interests include computer vision, medical image analysis, pattern recognition, image and video processing, machine learning and deep learning.

フィルタリング scattering registration 平均値フィルタ computer vision image 3次元点群レジストレーション tomography path integral icip2013 point cloud icp image processing computer graphics table tennis cvpr cvpr2012 医用画像処理動作認識 action recognition deep learning visual question answering vqa open3d 解析行動データ pycon mini hiroshima pycon python segmentation trajectory histogram 微分フィルタ 2次元フィルタリングメディアンフィルタ filtering 認識大腸癌 cnn fcv point clouds 3d registration 3d point cloud dairy dirichlet distribution particle filter smoothing ssii2013 em-icp cuda softassign gpu sports prmu absorption out-scattering bssrdf brdf subsurface scattering light in-scattering participating media 回転行列姿勢推定 pose estimation icpr icpr2010 keyscale poster tutorial ssii2012 miru2010 miru2010wakate

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Toru Tamaki

論文紹介：Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

論文紹介：Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers

論文紹介：Automated Classification of Model Errors on ImageNet

論文紹介：Semantic segmentation using Vision Transformers: A survey

論文紹介：MOSE: A New Dataset for Video Object Segmentation in Complex Scenes

論文紹介：MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition

論文紹介：Tracking Anything with Decoupled Video Segmentation

論文紹介：Real-Time Evaluation in Online Continual Learning: A New Hope

論文紹介：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

論文紹介：Multitask Vision-Language Prompt Tuning

論文紹介：MovieCLIP: Visual Scene Recognition in Movies

論文紹介：Discovering Universal Geometry in Embeddings with ICA

論文紹介：Efficient Video Action Detection with Token Dropout and Context Refinement

論文紹介：Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization

論文紹介：MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

論文紹介：Revealing the unseen: Benchmarking video action recognition under occlusion

論文紹介：Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving

論文紹介：Spatio-Temporal Action Detection Under Large Motion

論文紹介：Vision Transformer Adapter for Dense Predictions

動画像理解のための深層学習アプローチ Deep learning approaches to video understanding