[New] We have three publications accepted for WACV 2025.
- AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
Jaehyun Choi*, Junwon Ko*, Dong-Jae Lee*, and Junmo Kim (equally contributed by the authors*)
- Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Haeil Lee*, Hansang Lee*, Seoyeon Gye, and Junmo Kim (equally contributed by the authors*)
- SFLD: Reducing the content bias for AI-generated Image Detection
Seoyeon Gye*, Junwon Ko*, Hyounguk Shon*, Minchan Kwon, and Junmo Kim (equally contributed by the authors*)
[New] We have two publications accepted for NeurIPS 2024.
- Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon†, and Junmo Kim† (Corresponding authors†)
- Self-supervised Transformation Learning for Equivariant Representations
Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, HyeongGwon Hong, and Junmo Kim
[New] We have two publications accepted for EMNLP 2024.
- Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon†, and Junmo Kim† (Corresponding authors†)
- StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, and Junmo Kim
[New] We have two publications accepted for ECCV 2024.
- Implicit Steganography Beyond the Constraints of Modality
Sojeong Song*, Seoyun Yang*, Chang D. Yoo†, and Junmo Kim† (equally contributed by the authors*, Corresponding authors†)
- Learning Neural Deformation Representation for 4D Dynamic Shape Generation
Gyojin Han, Jiwan Hur, Jaehyun Choi, and Junmo Kim
[New] We have one publication accepted for Interspeech 2024.
- AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning
Jongsuk Kim, Jiwon Shin, and Junmo Kim
[New] We have one publication accepted for ICML 2024.
- EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim*, Hyeongkeun Lee*, Kyeongha Rho*, Junmo Kim, and Joon Son Chung (equally contributed by the authors*)
[New] We have one publication accepted for ICASSP 2024.
- Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
Woonghyun Ka*, Jae Young Lee*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)
[New] We have one publication accepted for CVPR 2024.
- ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang, Fei Pan, Junmo Kim*, In So Kweon*, and Chengzhi Mao* (Corresponding authors*)
[New] We have three publications accepted for AAAI 2024.
- FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, and Junmo Kim
- Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
HyeongGwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, and Junmo Kim
- Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Jae Young Lee*, Woonghyun Ka*, Jaehyun Choi, and Junmo Kim (equally contributed by the authors*)