Wonijk Kim

Publication:

Journal:

1. Wonjik Kim, "A Random Focusing Method with Jensen–Shannon Divergence for Improving Deep Neural Network Performance Ensuring Architecture Consistency," Neural Processing Letters 56.4 (2024): 199 [paper link] [code]

2. Atsushi Ikeda, Ryuunosuke Kounosu, Wonjik Kim, Hirokazu Nosato, Yuu Nakajima, Hiroyuki Nishiyama, "PD27-08 PRE-TRAINING AN AI MODEL USING TWO TYPES OF AUTOMATICALLY GENERATED IMAGES FOR CYSTOSCOPY AI DIAGNOSIS OF BLADDER CANCER," Journal of Urology 211.5S (2024): e553 [paper link]

3. Wonjik Kim, Masayuki Tanaka, Yoko Sasaki, Masatoshi Okutomi. "Deformable element-wise dynamic convolution," J. Electron. Imaging 32(5), 053029 (2023), doi: 10.1117/1.JEI.32.5.053029 [paper link] [code]

4. Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Pixelwise Dynamic Convolution Neural Network for LiDAR Depth Data Interpolation."  IEEE Sensors Journal  Volume: 21, Issue: 24 (2021): 27736 - 27747. [paper link] [code]

5. Wonjik Kim*, Asako Kanezaki*, and Masayuki Tanaka. "Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering." IEEE Transactions on Image Processing 29 (2020): 8055-8068. [paper link] [code] (* equal contribution)

6. Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training." IEEE Access 8 (2020): 88443 - 88452. [paper link] [code]

7. Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Automatic Labeled LiDAR Data Generation and Distance-Based Ensemble Learning for Human Segmentation." IEEE Access 7 (2019): 55132-55141. [paper link] [code]

8. Wonjik Kim and Osamu Hasegawa. "Simultaneous Forecasting of Meteorological Data Based on a Self-Organizing Incremental Neural Network." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.6 (2018): 900-906. [paper link]

9. Wonjik Kim and Osamu Hasegawa. "Time series prediction of tropical storm trajectory using self-organizing incremental neural networks and error evaluation." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.4 (2018): 465-474. [paper link]

Conference:

1. Wonjik Kim, "A Novel Approach to Deep Metric Learning with In-Batch Feature Vector Constraint," International Conference on Innovation in Artificial Intelligence 2024. [paper link]

2. Ryuunosuke Kounosu, Wonjik Kim, Atsushi Ikeda, Hirokazu Nosato, Yuu Nakajima, "Artificial intelligence in cystoscopic bladder cancer classification based on transfer learning with a pre-trained convolutional neural network without natural images," Medical Imaging 2024: Computer-Aided Diagnosis. Vol. 12927. SPIE, 2024. [paper link]

3. Wonjik Kim, Masayuki Tanaka, and Masatoshi Okutomi. "Area Under Accuracy-Accuracy Curve for Evaluating Out-of-Distribution Detection.", Proceedings of Pacific-Rim Symposium on Image and Video Technology (PSIVT2023), November 2023 [code]

4. Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Adaptive Future Frame Prediction with Ensemble Network.", Proceedings of ICPR2020 Workshop : International Workshop on Pattern Forecasting (PATCAST), January 2021 [paper link] [code]

5. Tao Zhong, Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi. "Human Segmentation with Dynamic LiDAR Data.", International Conference on Pattern Recognition (ICPR), 2020 [paper link] [code]

6. Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, and Yoko Sasaki. "Automatic Labeled LiDAR Data Generation based on Precise Human Model.", International Conference on Robotics and Automation (ICRA), 2019. [paper link] [code]

7. Wonjik Kim and Osamu Hasegawa. "Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis." International Conference on Neural Information Processing. Springer, Cham, 2018. [paper link]

8. Wonjik Kim and Osamu Hasegawa. "Prediction of Tropical Storms Using Self-organizing Incremental Neural Networks and Error Evaluation." International Conference on Neural Information Processing. Springer, Cham, 2017. [paper link]

Awards:

• 手島精一記念研究賞（博士論文賞）, 2024.

• 自動車技術会大学院研究奨励賞, 2023.

• IEEE Signal Processing Society (SPS) Japan Student Journal Paper Award, 2021.

• テレコムシステム技術学生賞, 2021.

• 日本機械学会三浦賞, 2020.

Remarks:

• Chair of the session: emerging modeling techniques in ICONIP 2018.

• Chair of the track: Embedded Machine Learning and Data Analytics in 16th IEEE MCSoC 2023.

Links:

github

google scholar