Kim, Changick

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

Kim, T., Jeong, M., Kim, S., Choi, S., & Kim, C. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 352

Content-based image copy detection

Kim, C. (2003) · Signal Processing Image Communication

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 165

Towards Good Practices for Missing Modality Robust Action Recognition

Woo, S., Lee, S., Park, Y., Nugroho, M. A., & Kim, C. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 67

Unsupervised detection of surface defects: A two-step approach

Choi, J., & Kim, C. (2012) · 2012 19th IEEE International Conference on Image Processing

Industrial Vision Systems and Defect DetectionInfrastructure Maintenance and Monitoring

Cited by 36

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts

Park, B., Go, H., Kim, J.-Y., Woo, S., Ham, S., & Kim, C. (2025) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 9