List Of Research Publications (only in Peer-reviewed
Journals)
Sudhakar Kumawat, Tadashi Okawara, Michitaka Yoshida, Hajime Nagahara, and Yasushi Yagi, “Action Recognition From a Single Coded Image,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, doi:10.1109/TPAMI.2022.3196350. [Impact Factor: 20.8]
Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, and Shanmuganathan Raman, “Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, doi: 10.1109/TPAMI.2021.3076522. [Impact Factor: 20.8]
Papers in conference abstract volumes / presented
Caio Azevedo, Sanchayan Santra, Sudhakar Kumawat, Hajime Nagahara, and Ken’ichi Morooka, “Deep Volume Reconstruction from Multi-focus Microscopic Images”, in the Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, Oct. 6-10, 2024. [CORE A]
Sudhakar Kumawat and Hajime Nagahara, “LoHoSC: Low Order High Order Style Consistency for Syn-to-Real Domain Generalized Semantic Segmentation”, in the International Conference on Pattern Recognition (ICPR), Kolkata, India, Dec. 1-5, 2024. [CORE B]
Yi Liu, Sudhakar Kumawat, and Hajime Nagahara, “Deep Hardware Modality Fusion for Image Segmentation”, in the International Conference on Pattern Recognition (ICPR), Kolkata, India, Dec. 1-5, 2024. [CORE B]
Sudhakar Kumawat and Hajime Nagahara, “Privacy-Preserving Action Recognition via Motion Difference Quantization”, in the European Conference on Computer Vision (ECCV), Tel Aviv, Israel, Oct. 23-27, 2022. [CORE A∗]
Sudhakar Kumawat∗, Gagan Kanojia∗, and Shanmuganathan Raman, “ShuffleBlock: Shuffle to Regularize Convolutional Neural Networks”, in the 28th National Conference on Communications (NCC), Mumbai, IN, May 24-27, 2022.
Sudhakar Kumawat and Shanmuganathan Raman, “Depthwise-STFT based separable Convolutional Neural Networks”, in the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. [CORE B] [Long Oral]
Davinder Singh∗, Naman Jain∗, Pranjali Jain∗, Pratik Kayal∗, Sudhakar Kumawat, and Nipun Batra, “PlantDoc: A Dataset for Visual Plant Disease Detection”, in the 7th ACM IKDD CoDS and 25th COMAD (ACM CoDS COMAD), Hyderabad, IN, Jan. 5-7, 2020.
Gagan Kanojia, Sudhakar Kumawat, and Shanmuganathan Raman, “Exploring Temporal Differences in 3D Convolutional Neural Networks”, in the Seventh National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Hubballi, Karnataka, IN, Dec. 22-24, 2019. [Best Paper Runner-Up Award]
Sudhakar Kumawat and Shanmuganathan Raman, “Local Phase U-Net for Fundus Image Segmentation”, in the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019. [CORE B]
Sudhakar Kumawat and Shanmuganathan Raman, “LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks”, in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019. [CORE A∗]
