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We are pursuing research in image processing and computer vision based on deep learning(AI).
We are looking forward to master and Ph.D students who are interested in Deep Learning.
Please contact us if you are interested in our Lab: Prof. Hyun-Soo Kang, hskang@cbnu.ac.kr
Good News! Our paper has been accepted by KDD 2026. In additon, we got the email below from KDD:
"MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval"
"On behalf of the KDD 2026 Datasets and Benchmarks Track Program Committee, we are delighted to inform you that your paper, MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval, has been selected for an oral presentation at KDD 2026.
Out of 466 papers submitted to the track in Cycle 2, 153 were accepted, and only 21 have been chosen for oral presentation, approximately 4.5% of all submissions. We warmly congratulate you and your co-authors on this achievement."
Good News! We achieved outstanding results in the 2026 NTIRE Challenge as before. In NTIRE challenge organized by CVPR 2026, our lab (MIP) won 6th place in the Challenge on the Efficiency track of light field super-resolution in collaboration with VC-Lab, as well as 8th place in the Challenge on High-Resolution Depth of non-Lambertian Surfaces in collaboration with CVIS-Lab . As a result, our Lab was included in the challenge summary paper.
Good News! We achieved outstanding results in the 2025 NTIRE Challenge again, following the 2023 NTIRE Challenge. In NTIRE challenge organized by CVPR 2025, our lab (CBNU-MIP) won 4th place in the Efficiency track of light field super-resolution in collaboration with VC-Lab . As a result, our Lab was included in the challenge summary paper as shown below.
Good News! In NTIRE challenge organized by CVPR 2023, which is a top conference in the world, our lab won 10th place in the section of light field super-resolution. Finally, our Lab was included in the challenge summary paper as shown below.
Our object detecion~!
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