引用次数
引用: 5,316
H-指数: 27
I10-指数 : 51
出版物: 105
DETECTING AND ESTIMATING THE POSE OF AN OBJECT USING A NEURAL NETWORK MODEL
Tremblay Jonathan , To Thang Hong , Birchfield Stanley Thomas
11
2019
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Birchfield Stan , Tremblay Jonathan , Wang Shuo , Kumar Ratnesh
IEEE Conference Proceedings 2019 211 -220
140
2019
Understanding and Implementing Adaptive Difficulty Adjustment in Video Games
Tremblay Jonathan , Bouchard Bruno , Bouzouane Abdenour
IGI Global 82 -106
1
2012
Amélioration des performances d’athlètes en fauteuil roulant d’athlétisme à partir d’une configuration optimale
Jonathan TREMBLAY ,
Université de Sherbrooke
4
2015
A game genre agnostic framework for game-design
Clark Verbrugge , Jonathan Tremblay
Proceedings of the Fourth International Workshop on Games and Software Engineering 3 -7
2015
I Can Jump! Exploring Search Algorithms for Simulating Platformer Players
Clark Verbrugge , Alexander Borodovski , Jonathan Tremblay
artificial intelligence and interactive digital entertainment conference
6
2014
Generative methods for guard and camera placement in stealth games
Clark Verbrugge , Qihan Xu , Jonathan Tremblay
national conference on artificial intelligence 87 -93
4
2014
Adaptive companions in FPS games.
Clark Verbrugge , Jonathan Tremblay
foundations of digital games 229 -236
6
2013
An Exploration Tool for Predicting Stealthy Behaviour
Clark Verbrugge , Nir Rikovitch , Pedro Andrade Torres , Jonathan Tremblay
artificial intelligence and interactive digital entertainment conference
19
2013
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Varun Jampani , Stan Birchfield , Mark Brophy , Aayush Prakash
arXiv: Computer Vision and Pattern Recognition
698
2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jan Kautz , Stan Birchfield , Artem Molchanov , Thang To
arXiv: Robotics
46
2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.
Stan Birchfield , Yu Xiang , Dieter Fox , Balakumar Sundaralingam
Conference on Robot Learning 306 -316
539
2018
Camera-to-Robot Pose Estimation from a Single Image
Timothy E Lee , Jonathan Tremblay , Thang To , Jia Cheng
arXiv: Robotics
51
2019
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies.
Stan Birchfield , Tucker Hermans , Dieter Fox , Visak Kumar
arXiv: Robotics
14
2019
Toward Sim-to-Real Directional Semantic Grasping
Stan Birchfield , Shariq Iqbal , Thang To , Jonathan Tremblay
arXiv: Robotics
13
2019
FEW-SHOT VIEWPOINT ESTIMATION
Jan Kautz , Stan Birchfield , Ming Hsuan Yang , Sifei Liu
Unknown Journal
18
2019
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
Animesh Garg , Fabio Ramos , Dieter Fox , Michelle A. Lee
arXiv: Robotics
45
2020
Joint Space Control via Deep Reinforcement Learning.
Stan Birchfield , Visak Kumar , Balakumar Sundaralingam , David Hoeller
arXiv: Robotics
8
2020
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs.
Stan Birchfield , Yuke Zhu , Jonathan Tremblay , Yifeng Zhu
arXiv: Robotics
46
2020
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Stan Birchfield , Jonathan Tremblay , Stephen Tyree , Terry Mosier
intelligent robots and systems 4227 -4234
14
2020