Dipesh Tamboli

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Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology MumbaiVerified email at iitb.ac.in
Abhijeet PatilIIT BombayVerified email at iitb.ac.in
Amit SethiIndian Institute of Technology Bombay, Indian Institute of Technology Guwahati, University ofVerified email at iitb.ac.in
Gemma RoigGoethe University FrankfurtVerified email at cs.uni-frankfurt.de
Subhasis ChaudhuriIndian Institute of Technology BombayVerified email at ee.iitb.ac.in
Anshuman KumarAssociate Professor, Indian Institute of Technology BombayVerified email at iitb.ac.in
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Sravanti AddepalliPhD Student, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
Vaneet AggarwalPurdue UniversityVerified email at purdue.edu
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & CRISP; Purdue UniversityVerified email at purdue.edu
JIAYU CHENPhD Candidate of Industry Engineering (Operation Research), Purdue UniversityVerified email at purdue.edu

Dipesh Tamboli

Applied Scientist @ Amazon Robotics | Purdue | IITB

Verified email at amazon.com - Homepage

Machine Learning Deep Learning Computer Vision


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Multi-source open-set deep adversarial domain adaptation S Rakshit, D Tamboli, PS Meshram, B Banerjee, G Roig, S Chaudhuri Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	25	2020
Breast cancer histopathology image classification and localization using multiple instance learning A Patil, D Tamboli, S Meena, D Anand, A Sethi 2019 IEEE International WIE conference on electrical and computer …, 2019	25	2019
Fast design of plasmonic metasurfaces enabled by deep learning A Mall, A Patil, D Tamboli, A Sethi, A Kumar Journal of Physics D: Applied Physics 53 (49), 49LT01, 2020	24	2020
Image-based phenotyping of diverse rice (Oryza Sativa L.) genotypes MK Vishal, D Tamboli, A Patil, R Saluja, B Banerjee, A Sethi, D Raju, ... arXiv preprint arXiv:2004.02498, 2020	6	2020
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning J Chen, D Tamboli, T Lan, V Aggarwal Proceedings of the 40th International Conference on Machine Learning, 4895-4920, 2023	3	2023
Saliency-driven class impressions for feature visualization of deep neural networks D Tamboli, S Addepalli, RV Babu, B Banerjee 2020 IEEE International Conference on Image Processing (ICIP), 1936-1940, 2020	3	2020
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework D Tamboli, A Kumar, S Pande, B Banerjee IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022	1	2022
Image-Based Phenotyping of Diverse Rice MK Vishal, D Tamboli, A Patil, R Saluja, B Banerjee, A Sethi, D Raju, ... Oryza sativa, 0	1
Prediction of the color change of surface thermally treated wood by artificial neural network J Mo, D Tamboli, E Haviarova European Journal of Wood and Wood Products, 1-12, 2023		2023
Thermally Treated to Perfection: Enhancing Wood Color and Properties with Surface Thermal Treatment J Mo, D Tamboli, E Haviarova		2023
Kuiper: Moderated Asynchronous Federated Learning on Heterogeneous Mobile Devices with Non-IID Data D Tamboli, P Jain, A Sharma, B Banerjee, S Bagchi, S Chaterji		2022
Explaining decision of model from its prediction D Tamboli arXiv preprint arXiv:2106.08366, 2021		2021
Supplementary materials for paper” Multi-Source open-set deep adversarial domain adaptation” S Rakshit, D Tamboli, P Shuddhodhan, BB Meshram, G Roig, ...

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