Stanley (Soonyong) Cho Email and Phone Number
I am a computer vision and machine learning engineer with extensive experience in both research and commercialization. At Samsung, I led the development of key perception algorithms for Mobile and XR and contributed to groundbreaking technology showcased at CES. I have worked on advanced perception research for the last five years. Previously, I contributed to the commercialization of Galaxy Smartphones and Galaxy Watches. My work spans successful research initiatives and product development, giving me a unique blend of both domains.𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲▪ Optimization of deep learning models for on-device inference▪ Creation and optimization of datasets and preprocessing tools for deep learning solutions▪ Development and validation of mobile software and computer vision algorithms▪ Development of tools for multimodal data collection and evaluation, significantly reducing evaluation times▪ Proficient in leading deep learning projects for high-tech electronics𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲▪ 5+ years of extensive R&D experience in deep learning for mobile and XR▪ 16 years of R&D experience in computer vision, machine learning, and mobile software▪ 10 US Patents for advanced solutions in consumer electronics▪ Significant experience in the design and optimization of deep learning models for real-time applications▪ Proven track record of developing innovative solutions showcased at CES (2015, 2020, 2022, 2024)▪ Highly skilled in programming and system development across various platforms, including Android, RTOS, and Windows Mobile𝗦𝗸𝗶𝗹𝗹𝘀▪ Machine Learning: TensorFlow, PyTorch, Keras, TFLite, SNPE, NumPy, OpenCV, SciPy, Matplotlib, Pandas▪ Programming: C/C++, Java, Python, Swift, C#, Matlab, SQL▪ System: Android, Linux Kernel/Driver, Windows Mobile, embOS (RTOS)▪ Technology: Computer Vision, Deep Learning, XR, Optimization, Prototyping, Unity𝗖𝗘𝗦 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀▪ 2024: XR platform for SLAM, Depth Completion, Hand Tracking, and Eye Tracking (https://semiconductor.samsung.com/events/ces-2024)▪ 2022: Mobile object tracker project in collaboration with Corephotonics (private demo - invitation only)▪ 2020: Samsung's invisible keyboard for smartphones (https://www.bbc.com/news/av/technology-51057261)▪ 2015: IBM & Samsung live demo of ADEPT (https://youtu.be/U1XOPIqyP7A?t=295)
Samsung Electronics
View- Website:
- samsung.com
- Employees:
- 118428
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Senior Cvml Engineer (Principal Engineer - 2024 Title) @ Samsung Advanced Institute Of TechnologySamsung Electronics Aug 2022 - PresentSuwon, South Korea• Led an XR System project, including XR Research Platform and perception algorithms, showcased at CES 2024• Collaborated with Samsung Research to implement deep learning techniques for 3D Hand Pose Estimation, SLAM, and Point Scene Understanding, resulting in 4 papers accepted by top-tier conferences (AAAI2024, ICRA2024, CVPRW2024, BMVC2024) and 9 patents submitted• Developed a Unity App to acquire pose from the Meta Quest, created a tool to control a robot arm equipped with both our XR platform and the Meta Quest to move in various poses, and developed an automated data collection for multimodal data (GS, ToF, IMU) and evaluation tool for obtained poses, reducing evaluation time by 80%+• Created a dataset for SLAM and eye tracking using the Samsung XR Sensors and developed preprocessing and automation tools for multi-camera calibration, thereby reducing the calibration process time by 50%+• Designed and outsourced the development of an IR LED controller for eye tracking, an eye-tilting system, and a synthetic dataset, which enabled the creation of a dataset with precise ground truth and improved eye-tracking performance• Optimized a custom Multimodal LLM with Quantization for efficiency and faster inference
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Senior Computer Vision & Machine Learning Engineer @ Samsung Electronics System LsiSamsung Semiconductor Feb 2020 - Aug 2022Hwaseong, South Korea• Led a high-performing 5-man team for Mobile Object Tracker, showcased at CES 2022 (Invitation only)• Developed an Object Tracker running on the Snapdragon 888 and optimized the model using SNPE and NEON, achieving state-of-the-art performance in a mobile environment with a runtime speed of under 15ms• Collaborated with CorePhotonics to implement a recovery solution in the event of tracking failure• Utilizing dual-pixels, designed and optimized a depth estimation model using luminance data, reducing network parameters by 36.6% and affine-invariant weighted MAE by 43.5%, registered in patent US11978223B2• Published patent US20220366588A1 for generating a depth map only for the region of interest• Developed a Swift-based Test App using ARKit to analyze iPad's dense depth performance -
Senior Computer Vision & Machine Learning Engineer @ Samsung Research Creative LabSamsung Electronics Jan 2019 - Feb 2020Seoul, South Korea• Primarily developed AI engine for Samsung’s invisible keyboard for Galaxy Phone, showcased at CES 2020 - CNET article: https://www.cnet.com/videos/samsungs-selfietype-is-an-invisible-ai-keyboard-for-your-phone - BBC article: https://www.bbc.com/news/av/technology-51057261• Designed and developed a deep learning model for hand pose estimation and gesture detection and control for keyboard typing, optimizing it to improve speed while maintaining model performance, ultimately achieving a typing speed of up to 300 characters per minute with 30FPS single RGB on a Galaxy S10+ (Snapdragon 855)• Developed a tool to automatically remove markers attached to hand joints for motion capture from the recorded RGB images using GAN inpainting and to augment the data by synthesizing various backgrounds, thereby creating the world's first large-scale keyboard typing dataset and improving typing performance by 200%+• Invented core algorithm to detect and recognize hand-typing motion, registered in patent US11709593B2
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Senior Connectivity Software Engineer @ Samsung Strategy And Innovation CenterSamsung Electronics Jan 2016 - Dec 2018Yongin, South Korea• Developed connectivity for ARTIK, a tiny IoT module that helps developers commercialize IoT devices quickly and easily, as introduced by Samsung at the Samsung Developer Conference 2017
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Embedded Software Engineer @ Samsung Mobile ExperienceSamsung Mobile Jan 2015 - Dec 2015Suwon, South Korea• Developed auto gain control to improve heart rate monitoring performance for BIO sensor and wrist detection algorithm, which reduced wrist detection time by 50%+ for Samsung Wearables• Implemented sensor driver and data manager for Samsung Wearables, cutting down power consumption by 20%+, registered in patent US10783265B2 -
Cloud Software Engineer @ Samsung Media Solution CenterSamsung Mobile Jul 2012 - Dec 2014Suwon, South Korea• Developed Autonomous Decentralized Peer-to-Peer Telemetry (ADEPT), which uses a blockchain database to build a distributed network of devices and provide a low-cost way for devices to interact, exhibited at CES 2015• Managed and improved scalable network filesystem for Samsung Cloud.• Implemented easy setup, connectivity, and account authentication for an external storage link project.• Created a prototype of an ear-worn health tracker that uses an EMG sensor to track jaw movements and monitor if the user is chewing properly while eating, nominated as a finalist in the Samsung developer competition
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System Software Engineer @ Samsung Mobile ExperienceSamsung Mobile Jan 2008 - Jun 2012Suwon, South Korea• Developed USB driver for Galaxy S3, registered in patent US9189358B2• Implemented USB connectivity for Mirror Link, which is a device interoperability standard that offers integration between a smartphone and a car's infotainment system, registered in patent EP2661064B1• Developed camera driver alongside debugging the camera framework for Samsung Windows Mobile Smartphones, registered in patent US8972793B2• Debugged and resolved issues in the camera framework for Samsung Windows Mobile Smartphones.
Stanley (Soonyong) Cho Education Details
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4.18/4.30
Frequently Asked Questions about Stanley (Soonyong) Cho
What company does Stanley (Soonyong) Cho work for?
Stanley (Soonyong) Cho works for Samsung Electronics
What is Stanley (Soonyong) Cho's role at the current company?
Stanley (Soonyong) Cho's current role is Principal Engineer @ Samsung Advanced Institute of Technology.
What schools did Stanley (Soonyong) Cho attend?
Stanley (Soonyong) Cho attended Yonsei University.
Who are Stanley (Soonyong) Cho's colleagues?
Stanley (Soonyong) Cho's colleagues are Mahesh Mahi, Milan Man, Wook Hyun Yang, Javier Pardo Cuevas, Saad Thabit, Chun Moonsun, Chibe Thurai.
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