Search Results for author: Kyeongha Rho

Found 4 papers, 1 papers with code

TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning

no code implementations • 21 Sep 2023 • Chaeyoung Jung, Suyeon Lee, Kihyun Nam, Kyeongha Rho, You Jin Kim, Youngjoon Jang, Joon Son Chung

The goal of this work is Active Speaker Detection (ASD), a task to determine whether a person is speaking or not in a series of video frames.

Contrastive Learning

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That's What I Said: Fully-Controllable Talking Face Generation

no code implementations • 6 Apr 2023 • Youngjoon Jang, Kyeongha Rho, Jong-Bin Woo, Hyeongkeun Lee, Jihwan Park, Youshin Lim, Byeong-Yeol Kim, Joon Son Chung

The goal of this paper is to synthesise talking faces with controllable facial motions.

Navigate Talking Face Generation

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GuideFormer: Transformers for Image Guided Depth Completion

no code implementations • CVPR 2022 • Kyeongha Rho, Jinsung Ha, Youngjung Kim

Depth completion has been widely studied to predict a dense depth image from its sparse measurement and a single color image.

Depth Completion

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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

1 code implementation • 8 May 2020 • Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, WangMeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas Huang, Zhihao LI, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Możejko, Tomasz Latkowski, Lukasz Treszczotko, Michał Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+.

Image Denoising

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