| Collossl: Collaborative self-supervised learning for human activity recognition Y Jain, CI Tang, C Min, F Kawsar, A Mathur Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 105 | 2022 |
| RFID tattoo: A wireless platform for speech recognition J Wang, C Pan, H Jin, V Singh, Y Jain, JI Hong, C Majidi, S Kumar Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 65 | 2019 |
| Peekaboo: Interactive video generation via masked-diffusion Y Jain, A Nasery, V Vineet, H Behl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 31 | 2024 |
| Damex: Dataset-aware mixture-of-experts for visual understanding of mixture-of-datasets Y Jain, H Behl, Z Kira, V Vineet Advances in Neural Information Processing Systems 36, 69625-69637, 2023 | 10 | 2023 |
| Integrating transductive and inductive embeddings improves link prediction accuracy C Gupta, Y Jain, A De, S Chakrabarti Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition Z Leng, Y Jain, H Kwon, T Ploetz Proceedings of the 2023 ACM International Symposium on Wearable Computers, 55-59, 2023 | 4 | 2023 |
| GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models S Azad, Y Jain, R Garg, YS Rawat, V Vineet arXiv preprint arXiv:2408.11748, 2024 | 2* | 2024 |
| Multi-stage multi-modal pre-training for automatic speech recognition Y Jain, D Chan, P Dheram, A Khare, O Shonibare, V Ravichandran, ... Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 2 | 2024 |
| On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors Y Jain, H Kwon, T Ploetz Adjunct Proceedings of the 2022 ACM International Joint Conference on …, 2022 | 2 | 2022 |
| Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data Z Leng, Y Jain, H Kwon, T Plötz arXiv preprint arXiv:2211.01342, 2022 | 1 | 2022 |
| Deep Neural Matching Models for Graph Retrieval C Gupta, Y Jain CoRR, 2021 | 1 | 2021 |
| Speech recognition using rfid tattoos J Wang, C Pan, H Jin, V Singh, Y Jain, JI Hong, C Majidi, S Kumar IJCAI, 4849-4853, 2021 | 1 | 2021 |
| A novel alternative to analyzing multiple choice questions via discrimination index PK Joshi, Y Jain, R Khunyakari, S Basu arXiv preprint arXiv:1906.07941, 2019 | 1* | 2019 |
| RiTTA: Modeling Event Relations in Text-to-Audio Generation Y He, Y Jain, X Liu, A Markham, V Vineet arXiv preprint arXiv:2412.15922, 2024 | | 2024 |
| Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off S Kuhar, Y Jain, A Tumanov arXiv preprint arXiv:2312.01581, 2023 | | 2023 |
| Matching Models for Graph Retrieval C Gupta, Y Jain arXiv preprint arXiv:2110.00925, 2021 | | 2021 |
| Deep Neural Matching Models for Graph Retrieval Y Jain, C Gupta, S Chakrabarti, A De arXiv preprint arXiv:2110.00925, 2021 | | 2021 |
| Group Supervised Learning: Extending Self-Supervised Learning to Multi-Device Settings Y Jain, CI Tang, C Min, F Kawsar, A Mathur ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception, 2021 | | 2021 |
| Understanding Depth and Height Perception in Large Visual-Language Models S Azad, Y Jain, R Garg, YS Rawat, V Vineet | | |
| PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off S Kuhar, Y Jain, A Tumanov Transactions on Machine Learning Research, 0 | | |
Vibhav VineetMicrosoft ResearchPatvirtintas el. paštas microsoft.com
