Search Results for author: Takashi Isobe

Found 9 papers, 5 papers with code

Compression-Aware Video Super-Resolution

1 code implementation CVPR 2023 Yingwei Wang, Xu Jia, Xin Tao, Takashi Isobe, Huchuan Lu, Yu-Wing Tai

Videos stored on mobile devices or delivered on the Internet are usually in compressed format and are of various unknown compression parameters, but most video super-resolution (VSR) methods often assume ideal inputs resulting in large performance gap between experimental settings and real-world applications.

Model Compression Video Enhancement +1

List-Mode PET Image Reconstruction Using Deep Image Prior

no code implementations28 Apr 2022 Kibo Ote, Fumio Hashimoto, Yuya Onishi, Takashi Isobe, Yasuomi Ouchi

However, the application of deep learning techniques to list-mode PET image reconstruction has not been progressed because list data is a sequence of bit codes and unsuitable for processing by convolutional neural networks (CNN).

Image Reconstruction

Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling

1 code implementation CVPR 2022 Takashi Isobe, Xu Jia, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai

Instead of directly feeding consecutive frames into a VSR model, we propose to compute the temporal difference between frames and divide those pixels into two subsets according to the level of difference.

Motion Compensation Optical Flow Estimation +1

Multi-Target Domain Adaptation with Collaborative Consistency Learning

no code implementations CVPR 2021 Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang

To obtain a single model that works across multiple target domains, we propose to simultaneously learn a student model which is trained to not only imitate the output of each expert on the corresponding target domain, but also to pull different expert close to each other with regularization on their weights.

Multi-target Domain Adaptation Semantic Segmentation +1

Revisiting Temporal Modeling for Video Super-resolution

2 code implementations13 Aug 2020 Takashi Isobe, Fang Zhu, Xu Jia, Shengjin Wang

Video super-resolution plays an important role in surveillance video analysis and ultra-high-definition video display, which has drawn much attention in both the research and industrial communities.

Computational Efficiency Video Super-Resolution

Intra-clip Aggregation for Video Person Re-identification

no code implementations5 May 2019 Takashi Isobe, Jian Han, Fang Zhu, Ya-Li Li, Shengjin Wang

Video-based person re-identification has drawn massive attention in recent years due to its extensive applications in video surveillance.

Data Augmentation Video-Based Person Re-Identification

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