Multiple transformation function estimation for image enhancement

1 code implementation • Journal of Visual Communication and Image Representation 2023 • Jaemin Park, An Gia Vien, Minhee Cha, Thuy Thi Pham, HanUl Kim, and Chul Lee

First, we develop a histogram-based multiple transformation function estimation network (HMTF-Net) to estimate multiple transformation functions by exploiting both the spatial and statistical information of the input images.

Image-to-Image Translation Low-Light Image Enhancement

BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling

1 code implementation • CVPR 2023 • Hyo-Jun Lee, HanUl Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh

A novel monocular 3D pose and shape reconstruction algorithm, based on bi-contextual attention and attention-guided modeling (BAAM), is proposed in this work.

3D Car Instance Understanding Object

Luminance-aware Color Transform for Multiple Exposure Correction

1 code implementation • ICCV 2023 • Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, HanUl Kim, Yeong Jun Koh

Images captured with irregular exposures inevitably present unsatisfactory visual effects, such as distorted hue and color tone.

Representative Color Transform for Image Enhancement

1 code implementation • IEEE International Conference on Computer Vision 2021 • HanUl Kim, Su-Min Choi, Chang-Su Kim, Yeong Jun Koh

Recently, the encoder-decoder and intensity transformation approaches lead to impressive progress in image enhancement.

Low-Light Image Enhancement

Efficient Action Recognition via Dynamic Knowledge Propagation

no code implementations • ICCV 2021 • HanUl Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli

Efficient action recognition has become crucial to extend the success of action recognition to many real-world applications.

Action Recognition