Risheek Garrepalli

According to our database, Risheek Garrepalli authored at least 29 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ConFu: Contemplate the Future for Better Speculative Sampling.

Zongyue Qin, Raghavv Goel, Mukul Gagrani, Risheek Garrepalli, Mingu Lee, Yizhou Sun

CoRR, March, 2026

Skip to the Good Part: Representation Structure & Inference-Time Layer Skipping in Diffusion vs. Autoregressive LLMs.

Raghavv Goel, Risheek Garrepalli, Sudhanshu Agrawal, Chris Lott, Mingu Lee, Fatih Porikli

CoRR, March, 2026

Generative Scenario Rollouts for End-to-End Autonomous Driving.

Rajeev Yasarla, Deepti Hegde, Shizhong Han, Hsin-Pai Cheng, Yunxiao Shi, Meysam Sadeghigooghari, Shweta Mahajan, Apratim Bhattacharyya, Litian Liu, Risheek Garrepalli, Thomas Svantesson, Fatih Porikli, Hong Cai

CoRR, January, 2026

2025

Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models.

Julianna Piskorz, Cristina Pinneri, Alvaro H. C. Correia, Motasem Alfarra, Risheek Garrepalli, Christos Louizos

CoRR, November, 2025

Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding.

Sudhanshu Agrawal, Risheek Garrepalli, Raghavv Goel, Mingu Lee, Christopher Lott, Fatih Porikli

CoRR, September, 2025

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing.

Shreya Kadambi, Risheek Garrepalli, Shubhankar Borse, Munawar Hyatt, Fatih Porikli

CoRR, July, 2025

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans.

Shubhankar Borse, Seokeon Choi, Sunghyun Park, Jeongho Kim, Shreya Kadambi, Risheek Garrepalli, Sungrack Yun, Munawar Hayat, Fatih Porikli

CoRR, June, 2025

RoCA: Robust Cross-Domain End-to-End Autonomous Driving.

Rajeev Yasarla, Shizhong Han, Hsin-Pai Cheng, Litian Liu, Shweta Mahajan, Apratim Bhattacharyya, Yunxiao Shi, Risheek Garrepalli, Hong Cai, Fatih Porikli

CoRR, June, 2025

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans.

Shubhankar Borse, Seokeon Choi, Sunghyun Park, Jeongho Kim, Shreya Kadambi, Risheek Garrepalli, Sungrack Yun, Durga Malladi, Fatih Porikli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DuoLoRA: Cycle-Consistent and Rank-Disentangled Content-Style Personalization.

Aniket Roy, Shubhankar Borse, Shreya Kadambi, Debasmit Das, Shweta Mahajan, Risheek Garrepalli, Hyojin Park, Ankita Nayak, Rama Chellappa, Munawar Hayat, Fatih Porikli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Distilling Multi-modal Large Language Models for Autonomous Driving.

Deepti Hegde, Rajeev Yasarla, Hong Cai, Shizhong Han, Apratim Bhattacharyya, Shweta Mahajan, Litian Liu, Risheek Garrepalli, Vishal M. Patel, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DDIL: Improved Diffusion Distillation With Imitation Learning.

Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih Porikli

CoRR, 2024

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters.

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

CoRR, 2024

FouRA: Fourier Low-Rank Adaptation.

Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Sparse High Rank Adapters.

Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation.

Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli

Proceedings of the Computer Vision - ECCV 2024, 2024

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations.

Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation.

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Clockwork Diffusion: Efficient Generation With Model-Step Distillation.

Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautière, Risheek Garrepalli, Fatih Porikli, Jens Petersen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation.

Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation.

Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE International Conference on Acoustics, 2023

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling.

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow.

Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction.

Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PAC Guarantees and Effective Algorithms for Detecting Novel Categories.

Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich

J. Mach. Learn. Res., 2022

Oracle Analysis of Representations for Deep Open Set Detection.

Risheek Garrepalli, Alan Fern, Thomas G. Dietterich

CoRR, 2022

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation.

Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2018

Open Category Detection with PAC Guarantees.

Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks

Proceedings of the 35th International Conference on Machine Learning, 2018

Can We Achieve Open Category Detection with Guarantees?

Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018