Search Results for author: Risheek Garrepalli

Found 6 papers, 1 papers with code

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

no code implementations CVPR 2023 Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

We propose a novel data augmentation approach, DistractFlow, for training optical flow estimation models by introducing realistic distractions to the input frames.

Data Augmentation Optical Flow Estimation

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

no code implementations CVPR 2023 Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli

Next, we use a conditional regenerator, which takes the redacted image and the dense predictions as inputs, and reconstructs the original image by filling in the missing structural information.

Depth Estimation

TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation

no code implementations24 Feb 2023 Debasmit Das, Shubhankar Borse, Hyojin Park, Kambiz Azarian, Hong Cai, Risheek Garrepalli, Fatih Porikli

Test-time adaptive (TTA) semantic segmentation adapts a source pre-trained image semantic segmentation model to unlabeled batches of target domain test images, different from real-world, where samples arrive one-by-one in an online fashion.

Semantic Segmentation

Oracle Analysis of Representations for Deep Open Set Detection

no code implementations22 Sep 2022 Risheek Garrepalli

The second is to introduce Oracle representation learning, which produces a representation that is guaranteed to be sufficient for accurate anomaly detection.

Anomaly Detection Autonomous Driving +1

Open Category Detection with PAC Guarantees

1 code implementation ICML 2018 Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks

Further, while there are algorithms for open category detection, there are few empirical results that directly report alien detection rates.

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