DEEP LEARNING - APPLIED Conference Posters

Autonomous Drone Racing with NVIDIA Jetson TX2

Sunggoo Jung, Ph.D Candidate, KAIST

Breast Tumors Classification and Detection from Ultrasound Using Convolutional Neural Network Autoencoder

Eddie Tzung-Chi Huang, Post-Doctoral, NVIDIA

Getting the most out of multi-GPU on Inference with Hadoop-Spark

Daesu Chung, Co-Founder / CTO, XII Lab

Real-time Dump Truck Inspection using Drone with NVIDIA Jetson TX2

Suzhi Xiao, CTO, Skysys Intelligent Technology

Transfer learning for Wet Road Perception

Shi-Wei LO, Associate Researcher, National Center for High-performance Computing

Deep Learning of Railway Track Faults using GPUs

Nathalie Rauschmayr, Expert Research & Development Engineer, CSEM (Swiss Center for Electronics and Microtechnology)

Building Damage Detection from Optical Satellite Imagery Using Time-Spatial Convolutional Neural Network

Takashi Miyamoto, Asisstant Proffessor, Japan

Cognitron and MindFlow: 5G V2X-enabled Scalable Automotive AI Software

Jincheol Kim, Principal Research Scientist, SK Telecom

Embodied Question Answering

Abhishek Das, PhD Student, Georgia Tech

How Does Deep Learning Accelerate Eye Tracking

Thomas Huang, VP, Beijing 7Invensun Technology Co., Ltd.

Predicting patient diseases and condition severity using RNNs and CNNs

Julie Zhu, Chief Data Scientist, Optum Tech - United Health Group

Distributed Containerized Deep Learning model training across heterogeneous networks

Bosky Mathew, Director IT, Optum Tech, United Healthcare Group

Retail Loss Prevention Using Deep Learning Technology on Store Surveillance Video

Jian Chang, Senior Data Scientist, AsiaInfo

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Awni Hannun, PhD Student, Stanford University