Risheek Garrepalli

According to our database, Risheek Garrepalli authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

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

CoRR, 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

CoRR, 2024

2023

Clockwork Diffusion: Efficient Generation With Model-Step Distillation.

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

CoRR, 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