Intelligent Machines/IOT Conference Posters

Check out this collection of posters to see the latest GPU-based research in autonomous machines and robotics.

Protecting Pulsed High-Power Lasers with Real-Time Object Detection
Protecting Pulsed High-Power Lasers with Real-Time Object Detection

Jeffrey Kelling, Scientist, Helmholtz-Zentrum Dresden - Rossendorf  

3DCD: A Modular Spatio-Temporal Feature Learning Framework for Change Detection
3DCD: A Modular Spatio-Temporal Feature Learning Framework for Change Detection

Santosh Vipparthi, Assistant Professor, Malaviya National Institute of Technology, Jaipur

Brushstrokes are Sufficient for Style Recognition
Brushstrokes are Sufficient for Style Recognition

Josiah Yoder, Assistant Professor, Milwaukee School of Engineering

Real-time Reconstruction of Compressive Focal Plane Array Camera
Real-time Reconstruction of Compressive Focal Plane Array Camera

Alper Gungor, Senior Research Engineer, Aselsan

Simultaneous Edge Alignment and Learning
Simultaneous Edge Alignment and Learning

Zhiding Yu, Research Scientist, NVIDIA

SuperDepth: Self-Supervised, Super-Resolved, Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved, Monocular Depth Estimation

Sudeep Pillai, Machine Learning Research Scientist, Toyota Research Institute

Training of Deep Neural Networks Using Brain-Generated Labels
Training of Deep Neural Networks Using Brain-Generated Labels

Sergey Vaisman, VP R&D, InnerEye

Transfer Learning Approach for Human Action Recognition in Infrared Images
Transfer Learning Approach for Human Action Recognition in Infrared Images

Naga Vara Aparna Akula, Scientist, CSIR-Central Scientific Instruments Organisation

Video Object Segmentation using Non-local Memory Network
Video Object Segmentation using Non-local Memory Network

Joon-Young Lee, Research Scientist, Adobe Research

Low Cost Open Source Autonomous Humanoid Robot
Low Cost Open Source Autonomous Humanoid Robot

Ali Lemus, Director of Turing Laboratory, Universidad Galileo

Time-Triggered Scheduling for Autonomous Driving
Time-Triggered Scheduling for Autonomous Driving

Joel Matejka, Ph.D. student, CTU in Prague

Training robotic arm on bulk grasping in 3D environment
Training robotic arm on bulk grasping in 3D environment

Romain Angenieux, Researcher, Cross-Compass Ltd.

Visual Diagnostics for Deep Reinforcement Learning Policy Development
Visual Diagnostics for Deep Reinforcement Learning Policy Development

Sam Green, PhD Candidate & Senior Member of Technical Staff, UC Santa Barbara & Sandia National Laboratories

Optimal Distributed Inference on Multi-GPU Processing System
Optimal Distributed Inference on Multi-GPU Processing System

Se-Yoon Oh, Big Data Team Leader, Agency for Defense Development

Protecting Pulsed High-Power Lasers with Real-Time Object Detection
3DCD: A Modular Spatio-Temporal Feature Learning Framework for Change Detection
Brushstrokes are Sufficient for Style Recognition
Real-time Reconstruction of Compressive Focal Plane Array Camera
Simultaneous Edge Alignment and Learning
SuperDepth: Self-Supervised, Super-Resolved, Monocular Depth Estimation
Training of Deep Neural Networks Using Brain-Generated Labels
Transfer Learning Approach for Human Action Recognition in Infrared Images
Video Object Segmentation using Non-local Memory Network
Low Cost Open Source Autonomous Humanoid Robot
Time-Triggered Scheduling for Autonomous Driving
Training robotic arm on bulk grasping in 3D environment
Visual Diagnostics for Deep Reinforcement Learning Policy Development
Optimal Distributed Inference on Multi-GPU Processing System
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