Search Results for author: Dongyoung Kim

Found 7 papers, 3 papers with code

Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing

no code implementations28 Feb 2024 Dongyoung Kim, Jinwoo Kim, Junsang Yu, Seon Joo Kim

White balance (WB) algorithms in many commercial cameras assume single and uniform illumination, leading to undesirable results when multiple lighting sources with different chromaticities exist in the scene.

Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing

no code implementations29 Jan 2024 Jeongho Min, Yejun Lee, Dongyoung Kim, Jaejun Yoo

To the best of our knowledge, we are the first to explore Domain Matching-based RefSR in remote sensing image processing.

Image Super-Resolution

Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination

1 code implementation ICCV 2021 Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim

Images in our dataset are mostly captured with illuminants existing in the scene, and the ground truth illumination is computed by taking the difference between the images with different illumination combination.

MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets

no code implementations19 Nov 2019 Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim

When there is a mismatch between the target identity and the driver identity, face reenactment suffers severe degradation in the quality of the result, especially in a few-shot setting.

Disentanglement Face Reenactment

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

3 code implementations8 Apr 2019 Seungwoo Choi, Seokjun Seo, Beomjun Shin, Hyeongmin Byun, Martin Kersner, Beomsu Kim, Dongyoung Kim, Sungjoo Ha

In addition, we release the implementation of the proposed and the baseline models including an end-to-end pipeline for training models and evaluating them on mobile devices.

Ranked #14 on Keyword Spotting on Google Speech Commands (Google Speech Commands V2 12 metric)

Keyword Spotting

Precision Highway for Ultra Low-Precision Quantization

no code implementations ICLR 2019 Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda

We also report that the proposed method significantly outperforms the existing method in the 2-bit quantization of an LSTM for language modeling.

Language Modelling Quantization

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