Rebati Raman Gaire

15 papers A* 1C 1Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	APRIS: Approximate Processing ReRAM In-Sensor Architecture Enabling Artificial-Intelligence-Powered Edge. IEEE Trans. Emerg. Top. Comput. Sepehr Tabrizchi, Rebati Raman Gaire, Mehrdad Morsali, Maximilian Liehr, Nathaniel C. Cady, Shaahin Angizi, Arman Roohi
2025	—	`conf`	CARN: Complexity-Aware Routing Network for Efficient and Adaptive Inference. CVPR Workshops Rebati Raman Gaire, Arman Roohi
2025	—	`conf`	FDAL: Leveraging Feature Distillation for Efficient and Task-Aware Active Learning. ICCVW Rebati Raman Gaire, Arman Roohi
2025	—	`conf`	Sunsift: Solar-Powered Intelligent Sensing Through Informative Sample Selection. ACSOS-C Shayan Gerami, Sepehr Tabrizchi, Omer Kurkutlu, Rebati Raman Gaire, Arman Roohi
2024	—	`conf`	DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. MWSCAS Rebati Raman Gaire, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi
2024	J	`jnl`	Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov
2024	—	`conf`	Resource-Efficient Adaptive-Network Inference Framework with Knowledge Distillation-Based Unified Learning. ISVLSI Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi
2023	—	`conf`	A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. DEMI@MICCAI Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
2023	J	`jnl`	A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation. CoRR Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
2023	C	`conf`	EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. ICMLA Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi
2023	J	`jnl`	Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. Medical Image Anal. Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
2023	—	`conf`	SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP. ACM Great Lakes Symposium on VLSI Sepehr Tabrizchi, Rebati Raman Gaire, Shaahin Angizi, Arman Roohi
2023	A*	`conf`	Why is the Winner the Best? CVPR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2022	J	`jnl`	FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov
2022	J	`jnl`	Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation. CoRR Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov