Publications

VLM-OoDD	Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations Jeonghyeon Kim and Sangheum Hwang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 paper code
Unlearning	Uncovering Hidden Vulnerabilities in Machine Unlearning: Adversarial Attack Hwiyeong Lee, Jeonghyeon Kim, Sangheum Hwang Korea Computer Congress (KCC), 2024 paper
VLM-OoDD	Uniformity Reduction Regularization: Multimodal Fine-tuning to Enhance Out-of-Distribution Detection Performance Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang Korea Computer Congress (KCC), 2024 paper Oral
VLM-OoDD	Comparison of Out-of-Distribution Detection Performance of CLIP-based Fine-Tuning Methods Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang International Conference on Electronics, Information, and Communication (ICEIC), 2024 paper Oral Best Paper Award
VLM-OoDD	Enhancing Out-of-Distribution Detection Performance of CLIP Based on Fine-tuning with Random Texts Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang Korea Computer Congress (KCC), 2023 paper Oral Best Paper Award
Active-Learning	Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions Jihyo Kim, Jeonghyeon Kim, Sangheum Hwang AAAI Workshop on Practical Deep Learning in the Wild, 2023 paper