Publications
Mahmud, Hasanul, Peng Kang, Palden Lama, Kevin Desai, and Sushil K. Prasad. "CAE-Net: Enhanced Converting Autoencoder Based Framework for Low-Latency Energy-Efficient DNN with SLO-Constraints." In 2024 IEEE Cloud Summit, pp. 128-134. IEEE, 2024.
Mahmud, Hasanul, Peng Kang, Kevin Desai, Palden Lama, and Sushil K. Prasad. "A converting autoencoder toward low-latency and energy-efficient dnn inference at the edge." In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 592-599. IEEE, 2024.
H-5 Index: 11Mahmud, Hasanul, Kevin Desai, Palden Lama, and Sushil K. Prasad. "EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder." arXiv preprint arXiv:2404.13770 (2024).
Tasnim, Umama, Rifatul Islam, Kevin Desai, and John Quarles, "Investigating Personalization Techniques for Improved Cybersickness Prediction in Virtual Reality Environments." IEEE Transactions on Visualization and Computer Graphics (2024).
Acceptance Rate: 12.6%
Impact Factor: 4.7
H-5 Index (Median): 89 (124)Azam, Md Mushfiqur, and Kevin Desai, "A Survey on 3D Egocentric Human Pose Estimation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024.
Acceptance Rate: 40%
H-5 Index (Median): 115 (178)Neely, Leslie, Amarie Carnett, John Quarles, Hannah MacNaul, Se-Woong Park, Sakiko Oyama, Guenevere Chen, Kevin Desai, and Peyman Najafirad. "The Case for Integrated Advanced Technology in Applied Behavior Analysis." Advances in Neurodevelopmental Disorders 7, no. 3 (2023): 415-425.
H-5 Index: 10
Impact Factor: 1.22Shang, Sijie, Rong Jin, and Kevin Desai. "A Study of Human Fitness Pose Classification Using Artificial Neural Networks." In 2023 International Conference on Information Technology (ICIT), pp. 250-255. IEEE, 2023.
Acceptance Rate: 50.3%
H-5 Index: 13Desai, Kevin, Omeed Ashtiani, and Balakrishnan Prabhakaran. "Assessment HTN (A-HTN) for Automated Task Performance Assessment in 3D Serious Games." arXiv preprint arXiv:2302.05795 (2023).
Young, Paul, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, and Peyman Najafirad. "Can Hierarchical Transformers Learn Facial Geometry?." Sensors 23, no. 2 (2023): 929.
Impact Factor: 3.85Islam, Rifatul, Kevin Desai, and John Quarles. "Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network." In 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 121-130. IEEE, 2022.
Acceptance Rate: 21%
H-5 Index (Median): 25 (35)Peng, Kebin, John Quarles, and Kevin Desai. "PMPNet: Pixel Movement Prediction Network for Monocular Depth Estimation in Dynamic Scenes." In 2022 26th International Conference on Pattern Recognition (ICPR), pp. 3915-3921. IEEE, 2022.
Acceptance Rate: 47.8%
H-5 Index (Median): 43 (61)Khargonkar, Ninad, Kevin Desai, Balakrishnan Prabhakaran, and Thiru Annaswamy. "Virtepex: Virtual Remote Tele-Physical Examination System." In Designing Interactive Systems Conference, pp. 1729-1742. 2022.
Acceptance Rate: 21.5%
H-5 Index (Median): 41 (58)Peng, Kebin, John Quarles, and Kevin Desai, "BRDF-Based Irradiance Image Estimation to Remove Radiometric Differences for Stereo Matching." In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-555-5; ISSN 2184-4321, pages 734-744. 2022.
H-5 Index (Median): 19 (31)Peng, Kebin, Rifatul Islam, John Quarles, and Kevin Desai, "TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 222-230. 2022.
Acceptance Rate: 60%
H-5 Index (Median): 89 (154)Medjaouri, Omar, and Kevin Desai, "HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2540-2549. 2022.
BEST PAPER AWARD (6% chance)
H-5 Index (Median): 89 (154)Bendre, Nihar, Kevin Desai, and Peyman Najarad. "Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention." In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3006-3012. IEEE, 2021.
H-5 Index (Median): 32 (47)Islam, Rifatul, Kevin Desai, and John Quarles. "Cybersickness Prediction from Integrated HMD's Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data." In 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 31-40. IEEE, 2021.
Acceptance Rate: 23.6%
H-5 Index (Median): 25 (35)Bendre, Nihar, Kevin Desai, and Peyman Najafirad. "Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts." In 2021 IEEE International Conference on Image Processing (ICIP), pp. 1284-1288. IEEE, 2021.
Acceptance Rate: 46%
H-5 Index (Median): 60 (89)Guzman, Herbert, Reenam Joshi, Victor Guzman, Max Kilger, and Kevin Desai. "Multimodal Data Streaming using Visual IoTs and Wearables for Telerehabilitation and Teletreatment." In 2021 World Automation Congress (WAC), pp. 233-238. IEEE, 2021.
H-5 Index (Median): 13 (20)Desai, Kevin, Balakrishnan Prabhakaran, Nneka Ifejika, and Thiru M. Annaswamy. "Personalized 3D exergames for in-home rehabilitation after stroke: a pilot study." Disability and Rehabilitation: Assistive Technology (2021): 1-10.
H-5 Index (Median): 35 (57)
Impact Factor: 2.5Annaswamy, Thiru, Balakrishnan Prabhakaran, Nneka Ifejika, Kevin Desai, "Innovative Augmented-Reality Based Customized Gaming Solutions for Home Exercises Following Stroke," Presentation Symposium at the 96th Annual ACRM Conference: Progress in Rehabilitation Research, Nov 6, 2019.
Bahirat, Kanchan, Yu-Yen Chung, Thiru Annaswamy, Gargi Raval, Kevin Desai, Balakrishnan Prabhakaran, and Michael Riegler. "Using mr. mapp for lower limb phantom pain management." In Proceedings of the 27th ACM International Conference on Multimedia, pp. 1071-1075. 2019.
Acceptance Rate: 27%
H-5 Index (Median): 65 (107)Desai, Kevin, Balakrishnan Prabhakaran, and Suraj Raghuraman. "Combining Skeletal Poses for 3D Human Model Generation using Multiple Kinects," In Proceedings of the 9th ACM Multimedia Systems Conference, pp. 40-51. 2018.
Acceptance Rate: 26%
H-5 Index (Median): 34 (65)Desai, Kevin, Balakrishnan Prabhakaran, and Suraj Raghuraman. "Skeleton-based continuous extrinsic calibration of multiple RGB-D kinect cameras." In Proceedings of the 9th ACM Multimedia Systems Conference, pp. 250-257. 2018.
Acceptance Rate: 26%
H-5 Index (Median): 34 (65)Desai, Kevin, Suraj Raghuraman, Rong Jin, and Balakrishnan Prabhakaran. "QoE studies on interactive 3D tele-immersion." In 2017 IEEE international symposium on multimedia (ISM), pp. 130-137. IEEE, 2017.
Acceptance Rate: 23.02%
H-5 Index (Median): 18 (26)Desai, Kevin, Kanchan Bahirat, and Balakrishnan Prabhakaran. "Learning-based objective evaluation of 3D human open meshes." In 2017 IEEE International Conference on Multimedia and Expo (ICME), pp. 733-738. IEEE, 2017.
H-5 Index (Median): 35 (57)Desai, Kevin, Uriel Haile Hernndez Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Victor Ayala Ramirez, Vinu Johnson, and Murry Gans. "Experiences with multi-modal collaborative virtual laboratory (mmcvl)." In 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), pp. 376-383. IEEE, 2017.
Acceptance Rate: 23.9%
H-5 Index (Median): 19 (29)Desai, Kevin, Kanchan Bahirat, Sudhir Ramalingam, Balakrishnan Prabhakaran, Thiru Annaswamy, and Una E. Makris. "Augmented reality-based exergames for rehabilitation." In Proceedings of the 7th International Conference on Multimedia Systems, pp. 1-10. 2016.
Acceptance Rate: 28%
H-5 Index (Median): 34 (65)Desai, Kevin, Kanchan Bahirat, Suraj Raghuraman, and Balakrishnan Prabhakaran. "Network adaptive textured mesh generation for collaborative 3d tele-immersion." In 2015 IEEE International Symposium on Multimedia (ISM), pp. 107-112. IEEE, 2015.
Acceptance Rate: 25.5%
H-5 Index (Median): 18 (26)
H-5 Index (Median) obtained from Google Scholar - updated at the time of publication.
Acceptance rate is associated with Conferences and is obtained from the published proceedings online.
Impact factor is associated with Journals and is obtained from their website - updated at the time of publication.