Can We Achieve Open Category Detection with Guarantees? - Si Liu; Risheek Garrepalli; Alan Fern; Thomas G. Dietterich (AAAI Workshops, 2018)

Open Category Detection with PAC Guarantees. - Si Liu; Risheek Garrepalli; Thomas G. Dietterich; Alan Fern; Dan Hendrycks (ICML, 2018)

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. - Shubhankar Borse; Hyojin Park 004; Hong Cai; Debasmit Das; Risheek Garrepalli; Fatih Porikli (CVPR, 2022)

Oracle Analysis of Representations for Deep Open Set Detection. - Risheek Garrepalli; Alan Fern; Thomas G. Dietterich (CoRR, 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)

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. - Shubhankar Borse; Debasmit Das; Hyojin Park 004; Hong Cai; Risheek Garrepalli; Fatih Porikli (CVPR, 2023)

DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. - Risheek Garrepalli; Jisoo Jeong; Rajeswaran C. Ravindran; Jamie Menjay Lin; Fatih Porikli (CVPR Workshops, 2023)

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

Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. - Debasmit Das; Shubhankar Borse; Hyojin Park 004; Kambiz Azarian; Hong Cai; Risheek Garrepalli; Fatih Porikli (ICASSP, 2023)

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

Clockwork Diffusion: Efficient Generation With Model-Step Distillation. - Amirhossein Habibian; Amir Ghodrati; Noor Fathima; Guillaume Sautière; Risheek Garrepalli; Fatih Porikli; Jens Petersen (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 (CVPR, 2024)

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. - Jamie Menjay Lin; Jisoo Jeong; Hong Cai; Risheek Garrepalli; Kai Wang; Fatih Porikli (CVPR Workshops, 2024)

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. - Rajeev Yasarla; Manish Kumar Singh 002; Hong Cai; Yunxiao Shi; Jisoo Jeong; Yinhao Zhu; Shizhong Han; Risheek Garrepalli; Fatih Porikli (ECCV (5), 2024)

Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Shreya Kadambi; Rafael Esteves 002; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (NeurIPS, 2024)

FouRA: Fourier Low-Rank Adaptation. - Shubhankar Borse; Shreya Kadambi; Nilesh Prasad Pandey; Kartikeya Bhardwaj; Viswanath Ganapathy; Sweta Priyadarshi; Risheek Garrepalli; Rafael Esteves 002; Munawar Hayat; Fatih Porikli (NeurIPS, 2024)

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Rafael Esteves 002; Shreya Kadambi; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (CoRR, 2024)

DDIL: Improved Diffusion Distillation With Imitation Learning. - Risheek Garrepalli; Shweta Mahajan; Munawar Hayat; Fatih Porikli (CoRR, 2024)

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 (CVPR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 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, 2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. - Shubhankar Borse; Seokeon Choi; Sunghyun Park 005; Jeongho Kim 007; Shreya Kadambi; Risheek Garrepalli; Sungrack Yun; Munawar Hayat; Fatih Porikli (CoRR, 2025)

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing. - Shreya Kadambi; Risheek Garrepalli; Shubhankar Borse; Munawar Hyatt; Fatih Porikli (CoRR, 2025)