Search Results for author: Yaadhav Raaj

Found 5 papers, 1 papers with code

Exploiting & Refining Depth Distributions With Triangulation Light Curtains

no code implementations CVPR 2021 Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan

Active sensing through the use of Adaptive Depth Sensors is a nascent field, with potential in areas such as Advanced driver-assistance systems (ADAS).

Active Perception using Light Curtains for Autonomous Driving

no code implementations ECCV 2020 Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held

Most real-world 3D sensors such as LiDARs perform fixed scans of the entire environment, while being decoupled from the recognition system that processes the sensor data.

3D Object Recognition Autonomous Driving

Single-Network Whole-Body Pose Estimation

2 code implementations ICCV 2019 Gines Hidalgo, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh

We present the first single-network approach for 2D~whole-body pose estimation, which entails simultaneous localization of body, face, hands, and feet keypoints.

Multi-Task Learning Pose Estimation

Exploring Pose Priors for Human Pose Estimation with Joint Angle Representations

no code implementations27 Sep 2019 Yaadhav Raaj

Pose Priors are critical in human pose estimation, since they are able to enforce constraints that prevent estimated poses from tending to physically impossible positions.

Pose Estimation

Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields

no code implementations CVPR 2019 Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh

We present an online approach to efficiently and simultaneously detect and track the 2D pose of multiple people in a video sequence.

Ranked #7 on Pose Tracking on PoseTrack2017 (using extra training data)

Pose Tracking

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