AI Robotics · Computer Vision · HCI Sensing

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

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Currently leading AI research

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

M.S., Graduate School of Culture Technology

KAIST, Daejeon · HCI Tech Lab, supervised by Prof. Sang Ho Yoon

Mar 2014 — Feb 2021

B.S., Electrical Engineering and Computer Science

GIST, Gwangju

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

You Only Pose Once: A Minimalist's Detection Transformer for Monocular RGB Category-level 9D Multi-Object Pose Estimation

Hakjin Lee, Junghoon Seo, Jaehoon Sim

IEEE ICRA 2026

ForceCtrl: Hand-Raycasting with User-Defined Pinch Force for Control-Display Gain Application

Seo Young Oh, Junghoon Seo, Juyoung Lee, Boram Yoon, Woontack Woo, Sang Ho Yoon

IEEE TVCG 2026

Thumb Force Estimation with Egocentric Vision

Hanseok Jeong, Junghoon Seo, Sang Ho Yoon

ACM UIST Demo 2025

Guided Super Resolution of Land Surface Temperature Using Multi-Satellite Imageries

Sunju Lee, Yeji Choi, Beomkyu Choi, Junghoon Seo, Minki Song, Eunha Sohn, Sewoongg Ahn

IEEE TGRS 2025

Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer

Hakjin Lee, Minki Song, Jamyoung Koo, Junghoon Seo

IEEE WACV 2025

Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation

Junghoon Seo, Kyungjin Seo, Hanseok Jeong, Sangpil Kim, Sang Ho Yoon

NeurIPS 2024

A Billion-scale Foundation Model for Remote Sensing Images

Keumgang Cha, Junghoon Seo, and Taekyung Lee

IEEE J-STARS 2024

Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery

Minseok Seo, Hakjin Lee, Yongjin Jeon, and Junghoon Seo

IEEE WACV 2023

Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment

Yonghyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, and Junghyo Jo

NeurIPS Workshop 2023

Prototype-oriented Unsupervised Change Detection for Disaster Management

Youngtack Oh, Minseok Seo, Kim Doyi, and Junghoon Seo

NeurIPS Workshop 2023

Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness

Beomsu Kim and Junghoon Seo

AISTATS 2022

Quantile Autoencoder with Abnormality Accumulation for Anomaly Detection of Multi-variate Sensor Data

Seunghyoung Ryu, Jiyeon Yim, Junghoon Seo, Yonggyun Yu, and Hogeon Seo

IEEE Access 2022

Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation

Keumgang Cha, Junghoon Seo, and Yeji Choi

IEEE GRSL 2021

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

Chaehyeon Lee, Junghoon Seo, and Heechul Jung

CVPR Workshop 2021

On the Power of Deep but Naive Partial Label Learning

Junghoon Seo and Joon Suk Huh

IEEE ICASSP 2021

NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations

Yooseung Wang, Junghoon Seo, and Taegyun Jeon

IEEE GRSL 2021

Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector

Junghoon Seo, Seungwon Lee, Beomsu Kim, and Taegyun Jeon

NeurIPS Workshop 2019

Deep Closed-Form Subspace Clustering

Junghoon Seo, Jamyoung Koo, and Taegyun Jeon

ICCV Workshop 2019

Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps

Beomsu Kim, Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, and Taegyun Jeon

ICCV Workshop 2019

Bridging Adversarial Robustness and Gradient Interpretability

Beomsu Kim, Junghoon Seo, and Taegyun Jeon

ICLR Workshop 2019

RBox-CNN: Rotated Bounding Box based CNN for Ship Detection in Remote Sensing Image

Jamyoung Koo, Junghoon Seo, Seunghyun Jeon, Jeongyeol Choe, and Taegyun Jeon

ACM SIGSPATIAL 2018

Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, SeungHyun Jeon, Beomsu Kim, and Taegyun Jeon

ICML Workshop 2018

Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning

Junghoon Seo, Seunghyun Jeon, and Taegyun Jeon

ACML Workshop 2017

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
• 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
  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
  10-2023-0075347
• Method of training object prediction models using ambiguous labels
  10-2022-0000169
• Method for detecting object
  10-2021-0168545
• Method to detect object
  10-2021-0135451
• Method for data clustering
  10-2020-0107206