Search Results for author: Rawal Khirodkar

Found 6 papers, 4 papers with code

Occluded Human Mesh Recovery

no code implementations24 Mar 2022 Rawal Khirodkar, Shashank Tripathi, Kris Kitani

Along with the input image, we condition the top-down model on spatial context from the image in the form of body-center heatmaps.

Ranked #16 on 3D Human Pose Estimation on 3DPW (using extra training data)

3D Human Pose Estimation Human Mesh Recovery

RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering

1 code implementation ICCV 2021 Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

Furthermore, we utilize differentiable Levenberg-Marquardt (LM) optimization to refine a pose fast and accurately by minimizing the feature-metric error between the input and rendered image representations without the need of zooming in.

6D Pose Estimation 6D Pose Estimation using RGB

Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation

1 code implementation ICCV 2021 Rawal Khirodkar, Visesh Chari, Amit Agrawal, Ambrish Tyagi

Specifically, we achieve 70. 0 AP on CrowdPose and 42. 5 AP on OCHuman test sets, a significant improvement of 2. 4 AP and 6. 5 AP over the prior art, respectively.

Multi-Person Pose Estimation

Adversarial Domain Randomization

no code implementations3 Dec 2018 Rawal Khirodkar, Kris M. Kitani

Domain Randomization (DR) is known to require a significant amount of training data for good performance.

Domain Adaptation Image Classification +1

Domain Randomization for Scene-Specific Car Detection and Pose Estimation

1 code implementation14 Nov 2018 Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani

We address the issue of domain gap when making use of synthetic data to train a scene-specific object detector and pose estimator.

3D Pose Estimation Instance Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.