We have one paper accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). The paper is “Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution” by Hoonhee Cho, Jae-Young Kang, Taewoo Kim, Yuhwan Jeong, and Kuk-Jin Yoon.
We have two papers accepted to the Conference on Neural Information Processing Systems (NeurIPS) 2024. The papers are “TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight” by Hyun-Kurl Jang*, Jihun Kim*, Hyeokjun Kweon*, and Kuk-Jin Yoon, “A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions” by Hoonhee…
We have one paper accepted to IEEE Transactions on Artificial Intelligence. The paper is “Disentangled Cross-modal Fusion for Event-guided Image Super-Resolution” by Minjie Liu*, Hongjian Wang*, Kuk-Jin Yoon, and Lin Wang. * denote the equal contribution.
We have twelve papers accepted to the European Conference on Computer Vision (ECCV) 2024. The papers are “Towards Real-world Event-guided Low-light Video Enhancement and Deblurring” by Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, and Kuk-Jin Yoon, “Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation” by Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon, and Kuk-Jin Yoon, “Temporal Event Stereo…
We have nine papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2024. The papers are “T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory” by Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, and Kuk-Jin Yoon “Frequency-aware Event-based Video Deblurring for Real-World Motion Blur” by Taewoo Kim*, Hoonhee Cho*,…
We cover a variety of issues in the field of computer vision and machine learning. Our research can be applied to various systems and machines such as autonomous cars, drones, medical diagnoses systems, and any other AI systems. If you are interested in computer vision and machine learning, please feel free to contact us.
