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ORCIDRisheek Garrepalli
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2020 – today
- 2024
[c11]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CVPR Workshops 2024: 2162-2171- [c10]Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CVPR 2024: 8352-8361 - [c9]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CVPR 2024: 19352-19362 - [i15]Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli:
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR abs/2403.12953 (2024) - [i14]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CoRR abs/2403.18092 (2024) - [i13]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CoRR abs/2404.08135 (2024) - [i12]Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli:
FouRA: Fourier Low Rank Adaptation. CoRR abs/2406.08798 (2024) - [i11]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Sparse High Rank Adapters. CoRR abs/2406.13175 (2024) - [i10]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. CoRR abs/2407.16712 (2024) - 2023
- [c8]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CVPR Workshops 2023: 2220-2229 - [c7]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CVPR 2023: 13691-13700 - [c6]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CVPR 2023: 19466-19477 - [c5]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. ICASSP 2023: 1-5 - [c4]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. ICCV 2023: 8720-8730 - [i9]Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli:
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. CoRR abs/2302.14611 (2023) - [i8]Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. CoRR abs/2303.01573 (2023) - [i7]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CoRR abs/2303.14078 (2023) - [i6]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CoRR abs/2306.05691 (2023) - [i5]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. CoRR abs/2307.14336 (2023) - [i4]Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen:
Clockwork Diffusion: Efficient Generation With Model-Step Distillation. CoRR abs/2312.08128 (2023) - 2022
- [j1]Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich:
PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. 23: 44:1-44:47 (2022) - [c3]Shubhankar Borse
, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli:
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CVPR 2022: 1259-1269 - [i3]Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli:
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. CoRR abs/2204.05370 (2022) - [i2]Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
Oracle Analysis of Representations for Deep Open Set Detection. CoRR abs/2209.11350 (2022)
2010 – 2019
- 2018
- [c2]Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
Can We Achieve Open Category Detection with Guarantees? AAAI Workshops 2018: 356-363 - [c1]Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks:
Open Category Detection with PAC Guarantees. ICML 2018: 3175-3184 - [i1]Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks:
Open Category Detection with PAC Guarantees. CoRR abs/1808.00529 (2018)
Coauthor Index
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