Search Results for author:
Found 12 papers, 9 papers with code
3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes
Vertebral morphological measurements are important across various disciplines, including spinal biomechanics and clinical applications, pre- and post-operatively.
Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs
Creating annotated datasets demands a substantial amount of manual effort.
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
This leads to a viewpoint that provides a more accurate prediction to distinguish such an object from other objects better.
Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
In this paper, we present Fusion-GCN, an approach for multimodal action recognition using Graph Convolutional Networks (GCNs).
Ranked #3 on
Multimodal Activity Recognition
on MMAct
(F1-Score (Cross-Subject) metric)
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
One-shot action recognition allows the recognition of human-performed actions with only a single training example.
Ranked #2 on
One-Shot 3D Action Recognition
on NTU RGB+D 120
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Further, we show that our approach generalizes well in experiments on the UTD-MHAD dataset for inertial, skeleton and fused data and the Simitate dataset for motion capturing data.
Ranked #3 on
One-Shot 3D Action Recognition
on NTU RGB+D 120
Gimme Signals: Discriminative signal encoding for multimodal activity recognition
We present a simple, yet effective and flexible method for action recognition supporting multiple sensor modalities.
Ranked #2 on
Multimodal Activity Recognition
on UTD-MHAD
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping
This paper presents a method for gesture recognition in RGB videos using OpenPose to extract the pose of a person and Dynamic Time Warping (DTW) in conjunction with One-Nearest-Neighbor (1NN) for time-series classification.
Simitate: A Hybrid Imitation Learning Benchmark
We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning.
Scratchy: A Lightweight Modular Autonomous Robot for Robotic Competitions
We present Scratchy---a modular, lightweight robot built for low budget competition attendances.
Robotics
Markerless Visual Robot Programming by Demonstration
We analyze a set of spatial constraints on human pose data extracted using convolutional pose machines and object informations extracted from 2D image sequences.
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
Ranked #52 on
Video Instance Segmentation
on YouTube-VIS validation
Large-Scale Person Re-Identification
Multiple Object Tracking
+1
