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Found 8 papers, 1 papers with code
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers
We demonstrate the safety of our approach in such realistic situations empirically with large-scale simulations of a vessel navigating in high-risk regions in the Northeast Pacific.
A Gated Attention Transformer for Multi-Person Pose Tracking
Multi-person pose tracking is an important element for many applications and requires to estimate the human poses of all persons in a video and to track them over time.
Keypoint Message Passing for Video-based Person Re-Identification
Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras.
Representation Learning
Video-Based Person Re-Identification
PoseTrackReID: Dataset Description
For that reason, we present PoseTrackReID, a large-scale dataset for multi-person pose tracking and video-based person re-ID.
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Instead of training the network for estimating keypoint correspondences on video data, it is trained on a large scale image datasets for human pose estimation using self-supervision.
Multi-Person Pose Estimation
Multi-Person Pose Estimation and Tracking
+1
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
We propose a joint model of human joint detection and association for 2D multi-person pose estimation (MPPE).
Joint Flow: Temporal Flow Fields for Multi Person Tracking
The general formulation of our temporal network allows to rely on any multi person pose estimation approach as spatial network.
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image
To this end, we first convert the motion capture data into a normalized 2D pose space, and separately learn a 2D pose estimation model from the image data.
Ranked #37 on
Monocular 3D Human Pose Estimation
on Human3.6M
