| Open category detection with PAC guarantees S Liu, R Garrepalli, T Dietterich, A Fern, D Hendrycks International Conference on Machine Learning, 3169-3178, 2018 | 107 | 2018 |
| Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation S Borse, H Park, H Cai, D Das, R Garrepalli, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17* | 2022 |
| Mamo: Leveraging memory and attention for monocular video depth estimation R Yasarla, H Cai, J Jeong, Y Shi, R Garrepalli, F Porikli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Distractflow: Improving optical flow estimation via realistic distractions and pseudo-labeling J Jeong, H Cai, R Garrepalli, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Dejavu: Conditional regenerative learning to enhance dense prediction S Borse, D Das, H Park, H Cai, R Garrepalli, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Clockwork diffusion: Efficient generation with model-step distillation A Habibian, A Ghodrati, N Fathima, G Sautiere, R Garrepalli, F Porikli, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Pac guarantees and effective algorithms for detecting novel categories S Liu, R Garrepalli, D Hendrycks, A Fern, D Mondal, TG Dietterich Journal of Machine Learning Research 23 (44), 1-47, 2022 | 8 | 2022 |
| Dift: Dynamic iterative field transforms for memory efficient optical flow R Garrepalli, J Jeong, RC Ravindran, JM Lin, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Transadapt: A transformative framework for online test time adaptive semantic segmentation D Das, S Borse, H Park, K Azarian, H Cai, R Garrepalli, F Porikli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| Futuredepth: Learning to predict the future improves video depth estimation R Yasarla, MK Singh, H Cai, Y Shi, J Jeong, Y Zhu, S Han, R Garrepalli, ... European Conference on Computer Vision, 440-458, 2024 | 4 | 2024 |
| Oracle analysis of representations for deep open set detection R Garrepalli arXiv preprint arXiv:2209.11350, 2022 | 4 | 2022 |
| Ocai: Improving optical flow estimation by occlusion and consistency aware interpolation J Jeong, H Cai, R Garrepalli, JM Lin, M Hayat, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Rapid switching and multi-adapter fusion via sparse high rank adapters K Bhardwaj, NP Pandey, S Priyadarshi, V Ganapathy, R Esteves, ... arXiv preprint arXiv:2407.16712, 2024 | 2 | 2024 |
| Panoptic segmentation with panoptic, instance, and semantic relations SM Borse, H Park, H Cai, DAS Debasmit, R Garrepalli, FM Porikli US Patent App. 17/807,614, 2023 | 2 | 2023 |
| Can We Achieve Open Category Detection with Guarantees? S Liu, R Garrepalli, A Fern, TG Dietterich AAAI Workshops, 356-363, 2018 | 2 | 2018 |
| FouRA: Fourier Low-Rank Adaptation S Borse, S Kadambi, N Pandey, K Bhardwaj, V Ganapathy, S Priyadarshi, ... Advances in Neural Information Processing Systems 37, 71504-71539, 2025 | 1 | 2025 |
| DDIL: Improved Diffusion Distillation With Imitation Learning R Garrepalli, S Mahajan, M Hayat, F Porikli arXiv preprint arXiv:2410.11971, 2024 | 1 | 2024 |
| Sparse High Rank Adapters K Bhardwaj, N Pandey, S Priyadarshi, V Ganapathy, S Kadambi, ... Advances in Neural Information Processing Systems 37, 13685-13715, 2025 | | 2025 |
| Distilling Multi-modal Large Language Models for Autonomous Driving D Hegde, R Yasarla, H Cai, S Han, A Bhattacharyya, S Mahajan, L Liu, ... arXiv preprint arXiv:2501.09757, 2025 | | 2025 |
| TEST-TIME SELF-SUPERVISED GUIDANCE FOR DIFFUSION MODELS R Garrepalli, Y Shi, H Cai, Y Zhu, SM Borse, J Jeong, D Das, MK Singh, ... US Patent App. 18/537,404, 2024 | | 2024 |
Fatih PorikliQualcomm, Australian National UniversityE-mailová adresa ověřena na: anu.edu.au