Search Results for author: Daesik Kim

Found 9 papers, 1 papers with code

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization

no code implementations25 Oct 2022 Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo

Existing deep interactive colorization models have focused on ways to utilize various types of interactions, such as point-wise color hints, scribbles, or natural-language texts, as methods to reflect a user's intent at runtime.

Colorization Image Colorization

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation

no code implementations25 Feb 2021 Inseop Chung, Daesik Kim, Nojun Kwak

We propose a novel method that tackles the problem of unsupervised domain adaptation for semantic segmentation by maximizing the cosine similarity between the source and the target domain at the feature level.

Semantic Segmentation Unsupervised Domain Adaptation

WAN: Watermarking Attack Network

no code implementations14 Aug 2020 Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn

Multi-bit watermarking (MW) has been developed to improve robustness against signal processing operations and geometric distortions.

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension

no code implementations ACL 2019 Daesik Kim, Seonhoon Kim, Nojun Kwak

Moreover, ablation studies validate that both methods of incorporating f-GCN for extracting knowledge from multi-modal contexts and our newly proposed self-supervised learning process are effective for TQA problems.

Open Set Learning Question Answering +2

Vehicle Image Generation Going Well with The Surroundings

no code implementations9 Jul 2018 Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak

Using a subnetwork based on a precedent work of image completion, our model makes the shape of an object.

Colorization Image Generation +6

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

no code implementations CVPR 2018 Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak

In this work, we introduce a new algorithm for analyzing a diagram, which contains visual and textual information in an abstract and integrated way.

Graph Generation Question Answering

Where to Play: Retrieval of Video Segments using Natural-Language Queries

no code implementations2 Jul 2017 Sangkuk Lee, Daesik Kim, Myunggi Lee, Jihye Hwang, Nojun Kwak

Through quantitative and qualitative evaluation, we show that our method is effective for retrieval of video segments using natural language queries.

Image Captioning Natural Language Queries +2

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