Garrepalli, Risheek

17 publications

CVPR 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

ICCV 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

NeurIPS 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

CVPR 2024 Clockwork Diffusion: Efficient Generation with Model-Step Distillation Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautiere, Risheek Garrepalli, Fatih Porikli, Jens Petersen

NeurIPS 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

ECCV 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

CVPR 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

ICMLW 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 Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel

CVPRW 2024 SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli

NeurIPS 2024 Sparse High Rank Adapters Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel

CVPRW 2023 DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli

CVPR 2023 DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli

CVPR 2023 DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

ICCV 2023 MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli

JMLR 2022 PAC Guarantees and Effective Algorithms for Detecting Novel Categories Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich

CVPR 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

ICML 2018 Open Category Detection with PAC Guarantees Si Liu, Risheek Garrepalli, Thomas Dietterich, Alan Fern, Dan Hendrycks