Rethinking Training Schedules For Verifiably Robust Networks. - Hyojun Go; Junyoung Byun; Changick Kim (ICIP, 2021)

Fine-Grained Multi-Class Object Counting. - Hyojun Go; Junyoung Byun; Byeongjun Park; Myung-Ae Choi; Seunghwa Yoo; Changick Kim (ICIP, 2021)

Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. - Junyoung Byun; Hyojun Go; Changick Kim (CoRR, 2021)

Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. - Byeongjun Park; Taekyung Kim 002; Hyojun Go; Changick Kim (CoRR, 2021)

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. - Yunsung Lee; Gyuseong Lee; Kwangrok Ryoo; Hyojun Go; Jihye Park; Seungryong Kim (ECCV Workshops (4), 2022)

Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. - Junyoung Byun; Hyojun Go; Seungju Cho; Changick Kim (ICIP, 2022)

Hidden Conditional Adversarial Attacks. - Junyoung Byun; Kyujin Shim; Hyojun Go; Changick Kim (ICIP, 2022)

Geometrically Adaptive Dictionary Attack on Face Recognition. - Junyoung Byun; Hyojun Go; Changick Kim (WACV, 2022)

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. - Junyoung Byun; Hyojun Go; Changick Kim (WACV, 2022)

Bridging Implicit and Explicit Geometric Transformations for Single-Image View Synthesis. - Byeongjun Park; Hyojun Go; Changick Kim (CoRR, 2022)

Cross Encoding as Augmentation: Towards Effective Educational Text Classification. - Hyun Seung Lee; Seungtaek Choi; Yunsung Lee; Hyeongdon Moon; Shinhyeok Oh; Myeongho Jeong; Hyojun Go; Christian Wallraven (ACL (Findings), 2023)

Evaluation of Question Generation Needs More References. - Shinhyeok Oh; Hyojun Go; Hyeongdon Moon; Yunsung Lee; Myeongho Jeong; Hyun Seung Lee; Seungtaek Choi (ACL (Findings), 2023)

Towards Practical Plug-and-Play Diffusion Models. - Hyojun Go; Yunsung Lee; Jin Young Kim; Seunghyun Lee; Myeongho Jeong; Hyun Seung Lee; Seungtaek Choi (CVPR, 2023)

Addressing Negative Transfer in Diffusion Models. - Hyojun Go; JinYoung Kim; Yunsung Lee; Seunghyun Lee; Shinhyeok Oh; Hyeongdon Moon; Seungtaek Choi (NeurIPS, 2023)

ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function. - Jin Young Kim; Soonwoo Kwon; Hyojun Go; Yunsung Lee; Seungtaek Choi (CoRR, 2023)

Multi-Architecture Multi-Expert Diffusion Models. - Yunsung Lee; JinYoung Kim; Hyojun Go; Myeongho Jeong; Shinhyeok Oh; Seungtaek Choi (AAAI, 2024)

HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D. - Sangmin Woo; Byeongjun Park; Hyojun Go; Jin-Young Kim; Changick Kim (CVPR, 2024)

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts. - Byeongjun Park; Hyojun Go; Jin-Young Kim; Sangmin Woo; Seokil Ham; Changick Kim (ECCV (53), 2024)

Denoising Task Routing for Diffusion Models. - Byeongjun Park; Sangmin Woo; Hyojun Go; Jin-Young Kim; Changick Kim (ICLR, 2024)

Pegasus-v1 Technical Report. - Raehyuk Jung; Hyojun Go; Jaehyuk Yi; Jiho Jang; Daniel Kim; Jay Suh; Aiden Seung Joon Lee; Cooper Han; Jae Lee; Jeff Kim; Jin-Young Kim; Junwan Kim; et al. (CoRR, 2024)

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models. - Hyeongmin Lee; Jin-Young Kim; Kyungjune Baek; Jihwan Kim; Hyojun Go; Seongsu Ha; Seokjin Han; Jiho Jang; Raehyuk Jung; Daewoo Kim; GeunOh Kim; JongMok Kim; et al. (CoRR, 2024)

Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis. - Byeongjun Park; Hyojun Go; Changick Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Diffusion Model Patching via Mixture-of-Prompts. - Seokil Ham; Sangmin Woo; Jin-Young Kim; Hyojun Go; Byeongjun Park; Changick Kim (AAAI, 2025)

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis. - Hyojun Go; Byeongjun Park; Jiho Jang; Jin-Young Kim; Soonwoo Kwon; Changick Kim (CVPR, 2025)

Denoising Task Difficulty-based Curriculum for Training Diffusion Models. - Jin-Young Kim; Hyojun Go; Soonwoo Kwon; Hyun-Gyoon Kim (ICLR, 2025)

ScoreCL: augmentation-adaptive contrastive learning via score-matching function. - Jin-Young Kim; Soonwoo Kwon; Hyojun Go; Yunsung Lee; Seungtaek Choi; Hyun-Gyoon Kim (Mach. Learn., 2025)

Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments. - Soonwoo Kwon; Jin-Young Kim; Hyojun Go; Kyungjune Baek (CoRR, 2025)

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering. - Byeongjun Park; Hyojun Go; Hyelin Nam; Byung-Hoon Kim; Hyungjin Chung; Changick Kim (CoRR, 2025)

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling. - Hyojun Go; Byeongjun Park; Hyelin Nam; Byung-Hoon Kim; Hyungjin Chung; Changick Kim (CoRR, 2025)