Kangyeol Kim

16 papers A* 3A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image Generation.
CoRR
Sanghyeon Lee, Minwoo Lee, Euijin Shin, Kangyeol Kim, Seunghwan Choi, Jaegul Choo
2024 J jnl
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation.
CoRR
Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, Youngjae Yu
2024 A* conf
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning.
ACM Multimedia
Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo
2024 J jnl
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning.
CoRR
Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo
2024 A* conf
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds.
AAAI
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
2023 J jnl
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model.
CoRR
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
2023 J jnl
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds.
CoRR
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
2022 — conf
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment.
ECCV (8)
Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
2022 — conf
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.
ECCV (17)
Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
2022 J jnl
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.
CoRR
Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
2021 J jnl
AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models.
CoRR
Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
2021 A conf
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
BMVC
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 J jnl
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
CoRR
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 A* conf
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
AAAI
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2020 J jnl
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
CoRR
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2019 J jnl
Unpaired Image Translation via Adaptive Convolution-based Normalization.
CoRR
Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling