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Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
[article]
2022
arXiv
pre-print
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Moreover, the retargeted trajectories must effectively execute tasks on a physical robot, which requires them to be temporally smooth and free of self-collisions. ...
Our low-cost, glove-free, marker-free remote teleoperation system makes robot teaching more accessible and we hope that it can aid robots in learning to act autonomously in the real world. ...
ACKNOWLEDGMENTS We are grateful to Ankur Handa for initial feedback and to Shikhar Bahl, Murtaza Dalal and Russell Mendonca for feedback on the paper. ...
arXiv:2202.10448v2
fatcat:cjs5si64jnax3l5px5ntopcfry
A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos
[article]
2021
arXiv
pre-print
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Despite the advances from recent image-to-image translation approaches, there are several transferring contexts where most end-to-end learning-based retargeting methods still perform poorly. ...
The formulation leverages the user body shape into the retargeting while considering physical constraints of the motion in 3D and the 2D image domain. ...
The authors thank CAPES, CNPq, and FAPEMIG for funding this work. We also thank NVIDIA for the donation of a Titan XP GPU used in this research. ...
arXiv:2103.15596v2
fatcat:them7wrlvfchpgy36mtxmfzm2q
A computational cognition model of perception, memory, and judgment
2014
Science China Information Sciences
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Marr's visual computing theory is the most representative cognitive computing model, which plays an important role in guiding intelligent computer image processing [5] . ...
The visual media, including digital images, video and three-dimensional models, contains superfluous visual information. ...
We thank ZHANG JingYu, FU QiuFang, XUAN YuMing, WANG XiaoHui, YAN WenJing, CHEN Yu-Hsin, and ZHANG Lei for useful discussions and helpful comments on earlier drafts of this manuscript. ...
doi:10.1007/s11432-013-4911-9
fatcat:txtu62aa7zd3plg3y2wvfdq5xe
Sketch-Based Skeleton-Driven 2D Animation and Motion Capture
[chapter]
2011
Lecture Notes in Computer Science
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Aggarwal and Triggs [2006] described a learning based method for recovering 3D human pose from monocular image sequences. ...
(Left: original image sequence; Middle: joints tracking result; Right: retargeted new character)From the results, the problem of self-occlusion is effectively solved. ...
doi:10.1007/978-3-642-22639-7_17
fatcat:7j4ililxmjgnzlhadplbzfc4a4
A Survey on Deep Learning for Skeleton-Based Human Animation
[article]
2021
arXiv
pre-print
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To this end, deep neural networks drive most recent advances through deep learning and deep reinforcement learning. ...
In this article, we propose a comprehensive survey on the state-of-the-art approaches based on either deep learning or deep reinforcement learning in skeleton-based human character animation. ...
(DL) and Deep Reinforcement Learning (DRL) (see Figure 1 ). ...
arXiv:2110.06901v1
fatcat:abppln4rbbeufiw4z6a3wnk7oy
تأثیر المستهلک فی خلق القیمة المشترکة للسیاحة المصریة من خلال وسائل التواصل الاجتماعی
2021
مجلة العمارة والفنون والعلوم الإنسانية
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The Egyptian tourism industry requires different strategies to develop Egypt's image with the international audience and create a relationship with the target audience due to the tremendous development ...
The end outcome is a graphical model of important factors for successful strategy based on consumer value co-creation (VCC) through social media. ...
online sharing can reinforce a tourism destination's image and create deeper loyalty, making these images are powerful tools for tourism marketing. ...
doi:10.21608/mjaf.2020.46726.1991
fatcat:wad3ddjzpbe77cybqi42lrssei
Robot Learning by Active Imitation
[chapter]
2007
Humanoid Robots, Human-like Machines
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The hand poses provided by this model are translated to an egocentric image by the retargeting method described in Section 4.4. ...
Many learning algorithms have been proposed for robotics applications. ...
and Mind Organisation: Learning and Interaction. ...
doi:10.5772/4821
fatcat:ybz3usowljectoogk2l7lwpww4
Character Animation Using Reinforcement Learning and Imitation Learning Algorithms
2021
2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
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In this paper, we propose a model that aims to generate real-time character animation for biped locomotion in Unity ML agents using Reinforcement learning and Imitation learning algorithms. ...
Real-time character animation for gaming and film industries is challenging and achieving production-ready quality is the hardest part. Managing time and resources also plays a vital role here. ...
In their work, the authors propose a self-imitation learning system that enables the stable locomotion controllers for rapid learning. ...
doi:10.1109/icievicivpr52578.2021.9564143
fatcat:zi3qv5fiavedzhukkcqr4url3a
Table of contents
2021
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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LINK PREDICTION VIA REINFORCEMENT LEARNING ......................................... 3460 Ye Tao, Ying Li, Zhonghai Wu, Peking University, China MLSP-26.4: A DEEP REINFORCEMENT LEARNING APPROACH TO AUDIO-BASED ...
Giannakis, University of Minnesota, United States MLSP-27.2: SELF-INFERENCE OF OTHERS' POLICIES FOR HOMOGENEOUS ............................................ 3960 AGENTS IN COOPERATIVE MULTI-AGENT REINFORCEMENT ...
doi:10.1109/icassp39728.2021.9414617
fatcat:m5ugnnuk7nacbd6jr6gv2lsfby
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
[article]
2020
arXiv
pre-print
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Transteleop observes the human hand through a low-cost depth camera and generates not only joint angles but also depth images of paired robot hand poses through an image-to-image translation process. ...
A keypoint-based reconstruction loss explores the resemblance in appearance and anatomy between human and robotic hands and enriches the local features of reconstructed images. ...
ACKNOWLEDGMENT This research was funded jointly by the German Research Foundation (DFG) and the National Science Foundation of China (NSFC) in project Cross Modal Learning, NSFC 61621136008/DFG TRR-169 ...
arXiv:2003.05212v1
fatcat:vf2auxtcxzhdfjwwpaiaabpqmq
An Innovative Serious Game for the Detection and Rehabilitation of Oral-Facial Malfunction in Children: A Pilot Study
2017
Journal of Sensors
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In the future, SONRIE could be used as a tool for detecting difficulties regarding self-control and for influencing performance and the ability to produce fine-tuned facial movements. ...
For this purpose, tests were performed in school settings with 96 typically developing children aged between five and seven years. ...
Thanks are due also to Laura Luna, for her insightful help with the identification of the orofacial muscles targeted by the SONRIE program for the rehabilitation of children with cerebral palsy. ...
doi:10.1155/2017/8745437
fatcat:w4echg7ml5fgtikzdroecf7cvu
A real time and robust facial expression recognition and imitation approach for affective human-robot interaction using Gabor filtering
2013
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
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The proposed method achieves a fast and robust facial feature extraction based on consecutively applying filters to the gradient image. ...
This paper presents a real-time system for recognition and imitation of facial expressions in the context of affective Human Robot Interaction. ...
Human behavior imitation has been used for learning tasks and for enhancing human-robot communication [7] . ...
doi:10.1109/iros.2013.6696662
dblp:conf/iros/CidPBN13
fatcat:mlzy63bubjgizczwycwsrhjp7i
Table of Contents
2020
2020 IEEE International Conference on Image Processing (ICIP)
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\ &KLQD ARS-05.5: DEEP SELF-LEARNING HASHING FOR IMAGE RETRIEVAL .................................................................... 1556 -LDZHL =KDQ =KDRJXR 0R <XHVKHQJ =KX 6KHQ]KHQ *UDGXDWH 6FKRRO 3HNLQJ ...
ENHANCED RESOLUTION-WISE FEATURES
ARS- 06 : 06 MACHINE LEARNING FOR IMAGE AND VIDEO ANALYSIS AND RETRIEVAL I ARS-06.1: SPACE-TIME GUIDED ASSOCIATION LEARNING FOR UNSUPERVISED ....................... ...
CODED-APERTURE FOR UNSUPERVISED CLASSIFICATION OF HYPERSEPCTRAL IMAGERY -LDQFKHQ =KX 7RQJ =KDQJ 6KHQJMLH =KDR 7RQJML 8QLYHUVLW\ &KLQD
IMT-02.4: ADMM-INSPIRED RECONSTRUCTION NETWORK FOR COMPRESSIVE ...
doi:10.1109/icip40778.2020.9191006
fatcat:3fkxl2sjmre2jkryewwo5mlahi
Smart Fashion: A Review of AI Applications in the Fashion Apparel Industry
[article]
2021
arXiv
pre-print
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The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. ...
For each task, a time chart is provided to analyze the progress through the years. ...
, 15.8% P@10 Street-Shop, Multiple, Detect 55 Kavitha [454] CNN, VGG-16, BoW, Word2Vec, TDF-IDF Shop, Also text-based 56 Kotouza [455] UI, NLP, Deep reinforcement learning, Clustering Multiple clustering ...
arXiv:2111.00905v2
fatcat:6n6d62lntjfu5pxmjzgi4mpv6i
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control
[article]
2021
arXiv
pre-print
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2021 accepted arXiv:2105.10066v3 fatcat:jz3yie3ygjefrjglm2s2sjhdwqOther Versions
Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation learning framework where an ensemble of classifiers and an imitation policy are trained ...
We present a simple and intuitive approach for interactive control of physically simulated characters. ...
In addition, a carefully designed reward function plays a key role for imitation learning in these works. ...
arXiv:2105.10066v1
fatcat:5meb546ob5ga3ljm4ieptf3aae
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