Shreyas Kulkarni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Berkeley Segmentation Dataset

Energy Management

Top Venues

ECCV Workshops (7)

Publications

Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan
V-FLUTE: Visual Figurative Language Understanding with Textual Explanations. CoRR (2024)
Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR (2024)
Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, Mohit Jain
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients. CoRR (2024)
Shreyas Kulkarni, Peng Yin, Sebastian A. Scherer
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance. IROS (2023)
Rashmi Kushwaha, Shreyas Kulkarni, Yatindra Nath Singh
Generalized Distance Metric for Different DHT Routing Algorithms in Peer-to-Peer Networks. CoRR (2023)
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation. CoRR (2023)
Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) (2023)
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks. ECCV Workshops (7) (2022)
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks. CoRR (2022)
Shreyas Kulkarni, Peng Yin, Sebastian A. Scherer
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance. CoRR (2022)
Rohit Jinsiwale, Shreyas Kulkarni, Deepak Divan
Low-cost Smart Home Energy Management System based on Decentralized Real-Time Pricing. ISGT (2020)
Shreyas Kulkarni, Deepak Divan
Sensing Service Transformer Secondary Currents using Planar Magnetic Pick-up Coils. ISGT (2020)
Shreyas Kulkarni, Eric Myers, Szilárd Lipták, Deepak Divan
A Novel Approach to Implement Low-Cost AMI Functionality using Delay-Tolerant Communication. ISGT (2019)
Aniruddh Marellapudi, Shreyas Kulkarni, Szilárd Lipták, Sathish Jayaraman, Deepak Divan
Low-Cost Industrial Monitoring Platform for Energy Efficiency and Optimized Plant Productivity. IECON (2019)
Shreyas Kulkarni, Qinchen Gu, Eric Myers, Lalith Polepeddi, Szilárd Lipták, Raheem Beyah, Deepak Divan
Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices. IEEE Internet Things J. 6 (5) (2019)
Shreyas Kulkarni, Deepak Divan
Evaluating Time Varying Connectivities and System Throughput in Opportunistic Networks for Smart Grid Applications. WF-IoT (2019)
Shreyas Kulkarni, Rishabh Agrawal
Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets. FUZZ-IEEE (2018)