Search Results for author: Visesh Chari

Found 8 papers, 1 papers with code

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving

no code implementations22 Dec 2021 Jingxiao Zheng, Xinwei Shi, Alexander Gorban, Junhua Mao, Yang song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, CongCong Li, Dragomir Anguelov

3D human pose estimation (HPE) in autonomous vehicles (AV) differs from other use cases in many factors, including the 3D resolution and range of data, absence of dense depth maps, failure modes for LiDAR, relative location between the camera and LiDAR, and a high bar for estimation accuracy.

3D Human Pose Estimation Autonomous Driving

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

Learning to Generate Synthetic Data via Compositing

no code implementations CVPR 2019 Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari

The synthesizer and target networks are trained in an adversarial manner wherein each network is updated with a goal to outdo the other.

Data Augmentation Human Detection +2

View-graph Selection Framework for SfM

no code implementations ECCV 2018 Rajvi Shah, Visesh Chari, P. J. Narayanan

Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.

Model Selection

A Unified View-Graph Selection Framework for Structure from Motion

no code implementations3 Aug 2017 Rajvi Shah, Visesh Chari, P. J. Narayanan

Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.

Dynamic Body VSLAM with Semantic Constraints

no code implementations27 Apr 2015 N. Dinesh Reddy, Prateek Singhal, Visesh Chari, K. Madhava Krishna

We show results on the challenging KITTI urban dataset for accuracy of motion segmentation and reconstruction of the trajectory and shape of moving objects relative to ground truth.

Autonomous Navigation Motion Segmentation

A Theory of Refractive Photo-Light-Path Triangulation

no code implementations CVPR 2013 Visesh Chari, Peter Sturm

3D reconstruction of transparent refractive objects like a plastic bottle is challenging: they lack appearance related visual cues and merely reflect and refract light from the surrounding environment.

3D Reconstruction

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