Search Results for author: Dawit Mureja Argaw

Found 10 papers, 2 papers with code

Scaling Up Video Summarization Pretraining with Large Language Models

no code implementations4 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.

Video Alignment Video Summarization

Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression

no code implementations8 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.

Data Compression Video Compression

Long-range Multimodal Pretraining for Movie Understanding

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.

Long-term Video Frame Interpolation via Feature Propagation

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.

Motion Estimation Video Frame Interpolation

Restoration of Video Frames from a Single Blurred Image with Motion Understanding

no code implementations19 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.

Video Restoration

Optical Flow Estimation from a Single Motion-blurred Image

no code implementations4 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.

Deblurring Optical Flow Estimation +1

Motion-blurred Video Interpolation and Extrapolation

no code implementations4 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.

Deblurring Optical Flow Estimation

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