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Risheek Garrepalli
Risheek Garrepalli
Qualcomm AI Research
qti.qualcomm.com의 이메일 확인됨
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Open category detection with PAC guarantees
S Liu, R Garrepalli, T Dietterich, A Fern, D Hendrycks
International Conference on Machine Learning, 3169-3178, 2018
1082018
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
142023
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
102023
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
102023
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
82024
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
82022
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
72023
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
52023
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
42024
Oracle analysis of representations for deep open set detection
R Garrepalli
arXiv preprint arXiv:2209.11350, 2022
42022
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
32024
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
22024
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
22023
Can We Achieve Open Category Detection with Guarantees?
S Liu, R Garrepalli, A Fern, TG Dietterich
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
22018
DDIL: Improved Diffusion Distillation With Imitation Learning
R Garrepalli, S Mahajan, M Hayat, F Porikli
arXiv preprint arXiv:2410.11971, 2024
12024
FouRA: Fourier Low Rank Adaptation
S Borse, S Kadambi, NP Pandey, K Bhardwaj, V Ganapathy, ...
arXiv preprint arXiv:2406.08798, 2024
12024
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
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