Journals

  1. P. P. Banik, R. Saha, and K.-D. Kim, “An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell,” Expert Systems with Applications, vol. 149, p. 113211, Jul. 2020. Doi: 10.1016/j.eswa.2020.113211

  2. R. Saha, P. P. Banik, S. S. Gupta, and K.-D. Kim, “Combining highlight removal and lowlight image enhancement technique for HDR-like image generation,” IET Image Processing, vol. 14, no. 9, pp. 1851–1861, Mar. 2020. Doi: 10.1049/iet-ipr.2019.1099

  3. P. P. Banik, R. Saha, and K.-D. Kim, “LED color prediction using a boosting neural network model for a visual-MIMO system,” Optics Communications, vol. 437, pp. 139–147, Apr. 2019. Doi: 10.1016/j.optcom.2018.12.027

  4. R. Saha, P. P. Banik, and K.-D. Kim, “HLS Based Approach to Develop an Implementable HDR Algorithm,” Electronics, vol. 7, no. 11, Art. no. 11, Nov. 2018. Doi: 10.3390/electronics7110332

  5. P. P. Banik, R. Saha, and K.-D. Kim, “Regression analysis for LED color detection of visualMIMO system,” Optics Communications, vol. 413, pp. 121–130, Apr. 2018. Doi: 10.1016/j.optcom.2017.11.086

Conferences and Workshops

  1. R. Saha, J. Haris, and J. Cano. “Accelerating Pot Quantization on Edge Devices”, in proceedings of the 31st IEEE International Conference on Electronics, Circuits and Systems. Accepted for Publication. Nancy, France, Nov. 2024.

  2. J. Haris, R. Saha, W. Hu, and J. Cano. “Designing Efficient LLM Accelerators for Edge Devices”, in New Approaches for Addressing the Computing Requirements of LLMs and GNNs (ARC-LG) Workshop in ISCA, Buenos Aires, Argentina, Jun. 2024. url: https://arxiv.org/abs/2408.00462.

  3. C. Gao, S. Saha, Y. Lu, R. Saha, K. D. McDonald-Maier, and X. Zhai. “Deep Learning on FPGAs with Multiple Service Levels for Edge Computing”, in proceedings of the 27th International Conference on Automation and Computing (ICAC), Birmingham, UK, Sept. 2022.Doi: 10.1109/ICAC55051.2022.9911081

  4. Y. Lu, C. Gao, R. Saha, S. Saha, K. D. McDonald-Maier, and X. Zhai. “FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics”, in architecture of Computing Systems (ARCS) 2022, Lecture Notes in Computer Science, vol 13642, Munich, Germany: Springer, Cham, Apr. 2022.Doi: 10.1007/978-3-031-21867-5_5

  5. P. P. Banik, R. Saha, T.-H. Kwon, and K.-D. Kim, “Fusing Reflectance based LDR Images to Generate HDR Image,” in 2019 25th Asia-Pacific Conference on Communications (APCC), Nov. 2019, pp. 357–360. Doi: 10.1109/APCC47188.2019.9026460

  6. R. Saha, P. P. Banik, and K.-D. Kim, “Low Dynamic Range Image Set Generation from Single Image,” in 2019 International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2019, pp. 1–3. Doi: 10.23919/ELINFOCOM.2019.8706401

  7. P. P. Banik, R. Saha, T.-H. Kwon, and K.-D. Kim, “LED Color Detection of Visual-MIMO System Using Boosting Neural Network Algorithm,” in 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), Jul. 2018, pp. 685–688. Doi: 10.1109/ICUFN.2018.8436957

  8. P. P. Banik, R. Saha, and K. - D. Kim. “Contrast Enhancement of Low-Light Image Using His-togram Equalization and Illumination Adjustment”, in proceedings of the 2018 International Conference on Electronics, Information, and Communication (ICEIC). Honolulu, HI, USA, Jan. 2018. Doi: 10.23919/ELINFOCOM.2018.8330564

  9. P. P. Banik, R. Saha, and K.-D. Kim, “HDR image from single LDR image after removing highlight,” in 2018 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2018, pp. 1–4. Doi: 10.1109/ICCE.2018.8326106

  10. R. Saha, P. P. Banik, and K.-D. Kim, “Conversion of LDR image to HDR-like image through high-level synthesis tool for FPGA implementation,” in 2018 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2018, pp. 1–2. Doi: 10.1109/ICCE.2018.8326111

  11. P. P. Banik, R. Saha, and K.-D. Kim, “Improvement of Color Detection by Regression Analysis of Visual-MIMO System,” in 2017 IEEE Globecom Workshops (GC Wkshps), Dec. 2017, pp. 1–4. Doi: 10.1109/GLOCOMW.2017.8269141

  12. R. Saha and K.-D. Kim, “Add weighted algorithm based on the PICA and RBF neural network for image fusion,” in 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), Feb. 2017, pp. 784–787. Doi: 10.1109/ECACE.2017.7913009

  13. R. Saha, Jai-Eun Kim, and Ki-Doo Kim, “Determination of threshold for IR image by using PICA with RBF neural network,” in 2017 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2017, pp. 223–224. Doi: 10.1109/ICCE.2017.7889292