☆ 3.8 Proceedings Paper

Fast Online Video Super-Resolution with Deformable Attention Pyramid

2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV) (2023)

Hierarchical Memory Matching Network for Video Object Segmentation

Hongje Seong et al.

Summary: The study introduces a Hierarchical Memory Matching Network (HMMN) for semi-supervised video object segmentation, which achieves state-of-the-art performance on various datasets through advanced memory read modules and hierarchical memory matching scheme.

2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Space-Time Distillation for Video Super-Resolution

Zeyu Xiao et al.

Summary: This paper proposes a knowledge distillation approach to transfer knowledge from complex VSR networks to compact ones, improving the performance of compact VSR networks. By utilizing spatial and temporal knowledge, the proposed method significantly reduces the performance gap between complex and compact models in VSR tasks.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

NTIRE 2021 Challenge on Video Super-Resolution

Sanghyun Son et al.

Summary: This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution, presenting evaluation results and proposed solutions from two competition tracks. Each track had hundreds of participants registered, with 14 teams competing in the final testing phase for state-of-the-art performance.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021 (2021)

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Article Computer Science, Artificial Intelligence