Junghoon Seo
Leading computer vision and machine learning research for AI robotics @ PIT IN Corp. Experienced in satellite/aerial imagery and HCI sensing, with strong interests in GPU parallel computing and computer graphics.
Computer Vision
Machine Learning
AI Robotics
Remote Sensing
GPGPU/HPC
HCI Sensing
Currently leading AI research @ PIT IN Corp.
Career
- Dec 2024 - Current, Principal Researcher, AI Robot Team @ PIT IN Corp.
- Sep 2020 - Sep 2024, Technical Leader of Research Center & Co-founder @ SI Analytics
- Jul 2017 - Feb 2020, ML/CV Research Scientist @ Satrec Initiative
Education
- Mar 2023 - Feb 2025, KAIST, Daejeon, South Korea
- Master’s degree in Graduate School of Culture Technology
- HCI Tech Lab, supervised by Prof. Sang Ho Yoon
- Mar 2014 - Feb 2021, GIST, Gwangju, South Korea
- B.S degree, Major in Electrical Engineering and Computer Science
Specialties
- Machine Learning, Computer Vision, Computer Graphics, and Remote Sensing Applications
- Parallel Computing on HPC and GPGPU
- Intelligent Sensing Techniques for Human-Computer Interaction
Current Focus
- Reliable Perception for AI Robotics
- High-precision Photogrammetry
- AI Agent for User-friendly Automation
- Parallel/Efficient Computing Methods for Robotics
Publications
- ForceCtrl: Hand-Raycasting with User-Defined Pinch Force for Control-Display Gain Application
- Thumb Force Estimation with Egocentric Vision
- Guided Super Resolution of Land Surface Temperature Using Multi-Satellite Imageries
- Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer
- Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
- A Billion-scale Foundation Model for Remote Sensing Images
- Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery
- Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
- Prototype-oriented Unsupervised Change Detection for Disaster Management
- Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
- Quantile Autoencoder with Abnormality Accumulation for Anomaly Detection of Multi-variate Sensor Data
- Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation
- Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
- On the Power of Deep but Naive Partial Label Learning
- NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
- Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
- Deep Closed-Form Subspace Clustering
- Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps
- Bridging Adversarial Robustness and Gradient Interpretability
- RBox-CNN: Rotated Bounding Box based CNN for Ship Detection in Remote Sensing Image
- Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative
- Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning
- Multi-task Learning for Fine-grained Visual Classification of Aircraft
Seunghyun Jeon, Junghoon Seo and Taegyun Jeon
ACML Workshop. 2017.
Working Titles Under Review
- Pressure Estimation for Hand-based Interaction
- Off-policy Evaluation from Multiple Logging Policies
- Monocular RGB Category-level Multi-object Pose Estimation
- Efficient and Robust Camera Calibration
Awards & Honors
- 2024, Lab demo project selected as Popular Choice Winner in CHI 2024
- 2021, Best Undergraduate Thesis Award from GIST
- 2020, 5th place in xView2 Challenge
- 2018, 3rd-4th place in CVPR NTIRE Super-resolution Challenge
- 2018, 2nd place in DOTA Challenge
- 2016, Grand Prize at KISTI National Supercomputing Competition
- 2016, Qualcomm-GIST Innovation Award
Invited Talks
- Query as Representation: A Paradigm Shift in Computer Vision Caused by DETR @ Online. Nov 2022. YouTube (Korean)
- Recent XAI Trends in Deep Learning Era: (Under-)specification and Approaches @ KAERI. Feb 2020.
- Back to the Representation Learning with focusing on Visual Self-supervision @ ETRI. Jul 2019. Slides (Korean)
- Deep Perceptual Super-resolution: Going Beyond Distortion @ KARI. Jul 2018. Slides
Review Services
- Journals: IEEE TPAMI, IEEE TNNLS, IEEE TGRS, IEEE GRSL, and more
- Conferences: ICLR `26, CVPR `26, AISTATS `26, NeurIPS `25, ICML `25, and others
Patents
- Method for detecting object, granted, 10-2364882
- Method for detecting on-the-fly disaster damage based on image, granted, 10-2255998
- Method for predicting frame using deep learning, application, 10-2023-0115699
- Method, system, and computing device for generating an alternative image of a satellite or aerial image in which an image of an area of interest is replaced, application, 10-2023-0075347
- Method of training object prediction models using ambiguous labels, application, 10-2022-0000169
- Method for detecting object, application, 10-2021-0168545
- Method to detect object, application, 10-2021-0135451
- Method for data clustering, application, 10-2020-0107206