no code implementations • 4 Apr 2024 • Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo, Chen Zhao, Fabian Caba Heilbron, Joon Son Chung, Bernard Ghanem
Movie trailers are an essential tool for promoting films and attracting audiences.
no code implementations • 4 Apr 2024 • Dawit Mureja Argaw, Seunghyun Yoon, Fabian Caba Heilbron, Hanieh Deilamsalehy, Trung Bui, Zhaowen Wang, Franck Dernoncourt, Joon Son Chung
Long-form video content constitutes a significant portion of internet traffic, making automated video summarization an essential research problem.
no code implementations • 8 Nov 2023 • Dawit Mureja Argaw, Junsik Kim, In So Kweon
Existing video compression (VC) methods primarily aim to reduce the spatial and temporal redundancies between consecutive frames in a video while preserving its quality.
no code implementations • ICCV 2023 • Dawit Mureja Argaw, Joon-Young Lee, Markus Woodson, In So Kweon, Fabian Caba Heilbron
While great progress has been attained, there is still a need for a pretrained multimodal model that can perform well in the ever-growing set of movie understanding tasks the community has been establishing.
1 code implementation • 20 Jul 2022 • Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee, Markus Woodson, In So Kweon
Machine learning is transforming the video editing industry.
no code implementations • CVPR 2022 • Dawit Mureja Argaw, In So Kweon
We argue that when there is a large gap between inputs, instead of estimating imprecise motion that will eventually lead to inaccurate interpolation, we can safely propagate from one side of the input up to a reliable time frame using the other input as a reference.
no code implementations • 19 Apr 2021 • Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Chaoning Zhang, In So Kweon
We formulate video restoration from a single blurred image as an inverse problem by setting clean image sequence and their respective motion as latent factors, and the blurred image as an observation.
no code implementations • 4 Mar 2021 • Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon
A flow estimator network is then used to estimate optical flow from the decoded features in a coarse-to-fine manner.
no code implementations • 4 Mar 2021 • Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon
Abrupt motion of camera or objects in a scene result in a blurry video, and therefore recovering high quality video requires two types of enhancements: visual enhancement and temporal upsampling.
1 code implementation • 23 Oct 2020 • Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon
ResNet or DenseNet?