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tanvirnwu/README.md

Md Tanvir Islam

Md Tanvir Islam is a doctoral research fellow at Kyungpook National University (KNU), South Korea, doing research in Robot Manipulation under the supervision of Prof. Sangtae Ahn in his BrainAI Lab. Tanvir completed his MS in Computer Science and Engineering at Sungkyunkwan University (SKKU) in South Korea, where he served as a Graduate Research Assistant at the VIS2KNOW Lab under the supervision of Prof. Khan Muhammad. With a strong foundation from completing his Bachelor's degree in the same field in 2019, he has been recognized for his exceptional potential and awarded the prestigious Global Korea Scholarship (GKS) in 2021, a fully funded scholarship offered by the Korean government. Based on his excellent academic and research performance, he was awarded the Academic Excellence Award Winner among the GKS scholars in 2024 by the NIIED, Government of South Korea. Currently, as a master's research student, he is an esteemed member of VIS2KNOW Lab, focusing his research on multiple emerging topics such as computational bioinformatics, image dehazing, image enhancement, invisible watermarking, marked by several research outcomes published in high impactful conferences and journals such as ICCV, WACV, WWW, ACM MM, ACCV, Alexandria Engineering Journal and Engineering Application of Artificial Intelligence. Md Tanvir Islam's passion for innovative applications of computer science and artificial intelligence is evident through his published research papers at reputable venues.

Google Scholar Email: tanvirnwu[@]knu.ac.kr

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  1. TriFuse_ACCV_2024 TriFuse_ACCV_2024 Public

    LoLI-Street is a low-light image enhancement dataset for training and testing low-light image enhancement models under urban street scenes.

    Python 38

  2. HazeSpace2M_ACMMN_2024 HazeSpace2M_ACMMN_2024 Public

    HazeSpace2M is a large scale paired hazy dataset for training and evaluating haze type classification models and single image dehazing models.

    Python 29 1

  3. SpikeRain SpikeRain Public

    SpikeRain is a method for Single Image Deraining, published in WACV 2026. SpikeRain is developed based on Spiking Neural Network.

    Python 7

  4. inzamamulDU/SpecGuard_ICCV_2025 inzamamulDU/SpecGuard_ICCV_2025 Public

    https://arxiv.org/abs/2510.07302

    4

  5. inzamamulDU/SpecXNet inzamamulDU/SpecXNet Public

    https://arxiv.org/abs/2509.22070

    Python 11 3

  6. KNU-BrainAI/KNU-Mamba KNU-BrainAI/KNU-Mamba Public

    Python 17 11