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Hidetomo Sakaino
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2020 – today
- 2024
- [c27]Thao Nguyen Phuong, Vinh Nguyen Duy, Hidetomo Sakaino:
IsoTGAN: Spatial and Geometrical Constraints at GAN and Transformer for 3D Contour Generation. ACCV Workshops (2) 2024: 88-104 - [c26]Hidetomo Sakaino, Thao Nguyen Phuong, Vinh Nguyen Duy:
PV-Cap: 3D Dynamic Scene Understanding Through Open Physics-based Vocabulary. CVPR Workshops 2024: 7932-7942 - 2023
- [c25]Hidetomo Sakaino:
PanopticVis: Integrated Panoptic Segmentation for Visibility Estimation at Twilight and Night. CVPR Workshops 2023: 3385-3398 - [c24]Hidetomo Sakaino:
PanopticRoad: Integrated Panoptic Road Segmentation Under Adversarial Conditions. CVPR Workshops 2023: 3591-3603 - [c23]Hidetomo Sakaino:
Dynamic Texts From UAV Perspective Natural Images. ICCV (Workshops) 2023: 2062-2073 - [c22]Hidetomo Sakaino:
Unseen And Adverse Outdoor Scenes Recognition Through Event-based Captions. ICCV (Workshops) 2023: 3596-3603 - [c21]Hidetomo Sakaino:
Semantically Enhanced Scene Captions with Physical and Weather Condition Changes. ICCV (Workshops) 2023: 3656-3668 - [c20]Hidetomo Sakaino, Natnapat Gaviphatt, Alivanh Insisiengmay, Louie Zamora, Dwi Fetiria Ningrum, Shunji Kotsuki:
DeepTrCy: Life Stage Identification of Satellite Tropical Cyclone Images. IGARSS 2023: 5186-5189 - [c19]Hidetomo Sakaino, Natnapat Gaviphatt, Alivanh Insisiengmay, Louie Zamora, Dwi Fetiria Ningrum, Josaphat Tetuko Sri Sumantyo
:
PanopticBlue: Transformer-based Camera Sky-Cloud-Weather Recognition and Classification. IGARSS 2023: 5814-5817 - 2022
- [c18]Hidetomo Sakaino:
DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial Conditions. ICMLA 2022: 382-389 - [c17]Hidetomo Sakaino, Atsushi Higuchi:
Sat2rain: Multiple Satellite Images to Rainfall Amounts Conversion By Improved GAN. ICMLA 2022: 1484-1491 - [c16]Hidetomo Sakaino, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt:
Multiple Deep learning Methods for Small and Blurry Volcanic Ash Cloud Detection for Satellite Imagery. IGARSS 2022: 1185-1188 - [c15]Hidetomo Sakaino, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt:
Integrated Physics-Based Nowcasting Model for Precipitation Radar Image Sequence. IGARSS 2022: 6729-6732 - 2021
- [c14]Yuka Aoyagi, Noboru Murata
Spatio-Temporal Predictive Network for Videos With Physical Properties. CVPR Workshops 2021: 2268-2278 - [c13]Wikom Tosiri, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Hidetomo Sakaino, Peerapon Vateekul:
Precipitation Nowcasting Using Deep Learning on Radar Data Augmented with Satellite Data. IAIT 2021: 25:1-25:10 - [c12]Pattarapong Danpoonkij, Nutnaree Kleawsirikul, Patamawadee Leepaisomboon, Natnapat Gaviphatt, Hidetomo Sakaino, Peerapon Vateekul:
Incorporating Prior Scientific Knowledge Into Deep Learning for Precipitation Nowcasting on Radar Images. JCSSE 2021: 1-6
2010 – 2019
- 2019
- [j8]Hidetomo Sakaino
Spatio-Temporal Feature Extraction/Recognition in Videos Based on Energy Optimization. IEEE Trans. Image Process. 28(7): 3395-3407 (2019) - 2016
- [j7]Hidetomo Sakaino
Video Extrapolation Method Based on Time-Varying Energy Optimization and CIP. IEEE Trans. Image Process. 25(9): 4103-4115 (2016) - 2015
- [j6]Hidetomo Sakaino
Motion Estimation for Dynamic Texture Videos Based on Locally and Globally Varying Models. IEEE Trans. Image Process. 24(11): 3609-3623 (2015) - 2013
- [j5]Hidetomo Sakaino:
Video-Based Tracking, Learning, and Recognition Method for Multiple Moving Objects. IEEE Trans. Circuits Syst. Video Technol. 23(10): 1661-1674 (2013) - [j4]Hidetomo Sakaino:
Spatio-Temporal Image Pattern Prediction Method Based on a Physical Model With Time-Varying Optical Flow. IEEE Trans. Geosci. Remote. Sens. 51(5-2): 3023-3036 (2013) - 2012
- [j3]Hidetomo Sakaino:
A Semitransparency-Based Optical-Flow Method With a Point Trajectory Model for Particle-Like Video. IEEE Trans. Image Process. 21(2): 441-450 (2012)
2000 – 2009
- 2009
- [c11]Xiqun Lu, Hidetomo Sakaino:
A spatial adaptive filter for smoothing of non-Gaussian texture noise. ICASSP 2009: 841-844 - [c10]Hidetomo Sakaino, Yang Shen, Yuanhang Pang, Lizhuang Ma:
Falling snow motion estimation based on a semi-transparent and particle trajectory model. ICIP 2009: 1609-1612 - [c9]Hidetomo Sakaino, Xiqun Lu:
Dynamic edge detection and analysis by multiple frame based derivative tensor. ICIP 2009: 2161-2164 - [c8]Hidetomo Sakaino, Yutao Zhao, Yuncai Liu:
3D photodynamic tool using a single 2D image with 3D velocity primitives and physical effects. ICME 2009: 986-989 - 2008
- [c7]Hidetomo Sakaino:
Fluid motion estimation method based on physical properties of waves. CVPR 2008 - 2007
- [c6]Hidetomo Sakaino:
Wave animation synthesis directly from a real video. SIGGRAPH Posters 2007: 110 - [c5]Hidetomo Sakaino:
Filling-in stochastic texture. SIGGRAPH Posters 2007: 111 - 2005
- [c4]Hidetomo Sakaino:
The photodynamic tool: generation of animation from a single texture image. ICME 2005: 1090-1093 - 2004
- [j2]Hidetomo Sakaino, Yutaka Yanagisawa, Tetsuji Satoh:
Tool Operation Recognition Based on Robust Optical Flow and HMM from Short-Time Sequential Image Data. J. Adv. Comput. Intell. Intell. Informatics 8(2): 156-167 (2004) - 2002
- [c3]Hidetomo Sakaino:
Moving vehicle velocity estimation from obscure falling snow scenes based on brightness and contrast model. ICIP (3) 2002: 905-908 - [c2]Hidetomo Sakaino:
Nonlinear Robust Velocity Estimation of Vehicles from a Snowfall Traffic Scene. ICPR (4) 2002: 60-63 - [c1]Hidetomo Sakaino:
A Unified Prediction Method for Heterogeneous Weather Radar Patterns. WACV 2002: 296-303
1990 – 1999
- 1995
- [j1]Ken Tsutsuguchi, Hidetomo Sakaino, Yasuhiko Watanabe:
Terrain adaptive human walking animation. Syst. Comput. Jpn. 26(5): 79-88 (1995)
Coauthor Index
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