| Lsq+: Improving low-bit quantization through learnable offsets and better initialization Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 210 | 2020 |
| A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning H Berg, SM Hall, Y Bhalgat, W Yang, HR Kirk, A Shtedritski, M Bain arXiv preprint arXiv:2203.11933, 2022 | 71 | 2022 |
| Qkd: Quantization-aware knowledge distillation J Kim, Y Bhalgat, J Lee, C Patel, N Kwak arXiv preprint arXiv:1911.12491, 2019 | 69 | 2019 |
| Learned threshold pruning K Azarian, Y Bhalgat, J Lee, T Blankevoort arXiv preprint arXiv:2003.00075, 2020 | 38 | 2020 |
| Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks Y Bhalgat, M Shah, S Awate Medical Imaging meets NeurIPS 2018 Workshop, 2018 | 24 | 2018 |
| Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion Y Bhalgat, I Laina, JF Henriques, A Zisserman, A Vedaldi 37th Conference on Neural Information Processing Systems, 2023, 2023 | 17 | 2023 |
| Structured Convolutions for Efficient Neural Network Design Y Bhalgat, Y Zhang, J Lin, F Porikli Advances in Neural Information Processing Systems, 2020, 2020 | 15 | 2020 |
| Refinement for absolute pose regression with neural feature synthesis S Chen, Y Bhalgat, X Li, J Bian, K Li, Z Wang, VA Prisacariu arXiv preprint arXiv:2303.10087, 2023 | 9 | 2023 |
| Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation Y Bhalgat, Z Liu, P Gundecha, J Mahmud, A Misra Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), 2019 | 7 | 2019 |
| A light touch approach to teaching transformers multi-view geometry Y Bhalgat, JF Henriques, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Model training using a teacher-student learning paradigm Z Liu, A Misra, P Gundecha, J Mahmud, Y Bhalgat US Patent 11,526,802, 2022 | 5 | 2022 |
| Dynamic iterative refinement for efficient 3d hand pose estimation J Yang, Y Bhalgat, S Chang, F Porikli, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| Semi-structured learned threshold pruning for deep neural networks KA Yazdi, TPF Blankevoort, JW Lee, YS Bhalgat US Patent App. 17/168,101, 2021 | 4 | 2021 |
| Data-driven Weight Initialization with Sylvester Solvers D Das, Y Bhalgat, F Porikli Practical ML for Developing Countries Workshop, ICLR 2021, 2021 | 4 | 2021 |
| FusedLSTM: Fusing frame-level and video-level features for content-based video relevance prediction Y Bhalgat arXiv preprint arXiv:1810.00136, 2018 | 4 | 2018 |
| Catseyes: Categorizing Seismic Structures with Tessellated Scattering Wavelet Networks Y Bhalgat, J Charlety, L Duval 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
| Stamp processing with examplar features Y Bhalgat, M Kulkarni, S Karande, S Lodha 12th IAPR workshop on Document Analysis and Systems (DAS) 2016, 2016 | 2 | 2016 |
| HashNeRF-pytorch Y Bhalgat https://github.com/yashbhalgat/HashNeRF-pytorch, 0 | 2 | |
| When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models X Ma*, Y Bhalgat*, B Smart*, S Chen, X Li, J Ding, J Gu, DZ Chen, S Peng, ... arXiv preprint arXiv:2405.10255, 2024 | 1 | 2024 |
| Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification M Shah, Y Bhalgat arXiv preprint arXiv:2405.11574, 2024 | | 2024 |
Tijmen BlankevoortMeta Reality Labs在 qti.qualcomm.com 的电子邮件经过验证
