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Risheek Garrepalli
Risheek Garrepalli
Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
Open category detection with PAC guarantees
S Liu, R Garrepalli, T Dietterich, A Fern, D Hendrycks
International Conference on Machine Learning, 3169-3178, 2018
1002018
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
14*2022
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
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
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
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
52023
Oracle analysis of representations for deep open set detection
R Garrepalli
arXiv preprint arXiv:2209.11350, 2022
42022
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
32023
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
32023
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
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
J Jeong, H Cai, R Garrepalli, JM Lin, M Hayat, F Porikli
arXiv preprint arXiv:2403.18092, 2024
12024
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, ...
arXiv preprint arXiv:2403.12953, 2024
12024
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
12023
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
JM Lin, J Jeong, H Cai, R Garrepalli, K Wang, F Porikli
arXiv preprint arXiv:2404.08135, 2024
2024
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
J Menjay Lin, J Jeong, H Cai, R Garrepalli, K Wang, F Porikli
arXiv e-prints, arXiv: 2404.08135, 2024
2024
EFFICIENT COST VOLUME PROCESSING WITHIN ITERATIVE PROCESS
R Garrepalli, R Chockalingapuramravindran, J Jeong, FM Porikli
US Patent App. 18/358,857, 2024
2024
Feature conditioned output transformer for generalizable semantic segmentation
DAS Debasmit, SM Borse, H Park, KA Yazdi, H Cai, R Garrepalli, ...
US Patent App. 18/349,726, 2024
2024
Online test time adaptive semantic segmentation with augmentation consistency
DAS Debasmit, SM Borse, H Park, KA Yazdi, H Cai, R Garrepalli, ...
US Patent App. 18/349,771, 2024
2024
Clockwork Diffusion: Efficient Generation With Model-Step Distillation
A Habibian, A Ghodrati, N Fathima, G Sautiere, R Garrepalli, F Porikli, ...
arXiv preprint arXiv:2312.08128, 2023
2023
Vectorized bilinear shift for replacing grid sampling in optical flow estimation
R Chockalingapuramravindran, K Urquhart, JM Lin, R Garrepalli
US Patent App. 17/549,768, 2023
2023
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