Junghoon Seo

Junghoon Seo

Junghoon Seo

I lead computer vision and machine learning research for AI robotics at PIT IN Corp.

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Experience

Dec 2024 — Present
Executive Director
AI R&D Team Leader · PIT IN Corp.
Sep 2020 — Sep 2024
Technical Leader & Co-founder
Research Center · SI Analytics
Jul 2017 — Feb 2020
ML/CV Research Scientist
Satrec Initiative

Education

Mar 2023 — Feb 2025
M.S. in Culture Technology
KAIST · Daejeon
HCI Tech Lab · Advisor: Prof. Sang Ho Yoon
Mar 2014 — Feb 2021
B.S. in 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

Selected Publications

Optimal IPS estimation from multi-logger data

Variational Approach to Optimal IPS Estimator for Multi-logger Off-Policy Evaluation

Joon Suk Huh, Junghoon Seo

NeurIPS 2026
Distributional Stability of Tangent-Linearized Gaussian Inference

Distributional Stability of Tangent-Linearized Gaussian Inference on Smooth Manifolds

Junghoon Seo, Hakjin Lee, Jaehoon Sim

IEEE RA-L 2026 Paper
You Only Pose Once

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 Paper Project
ForceCtrl: Hand-Raycasting

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 Paper Project
ROAR attribution post-processing examples

On Pitfalls of RemOve-And-Retrain: Data Processing Inequality Perspective

Junhwa Song, Keumgang Cha, Junghoon Seo

ICML Workshop 2026 Paper

Thumb Force Estimation with Egocentric Vision

Hanseok Jeong, Junghoon Seo, Sang Ho Yoon

ACM UIST Demo 2025 Paper

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 Paper
Hausdorff Distance Matching

Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer

Hakjin Lee, Minki Song, Jamyoung Koo, Junghoon Seo

IEEE WACV 2025 Paper

Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations

Keumgang Cha, Donggeun Yu, Junghoon Seo, Hyunguk Choi, and Taegyun Jeon

ISPRS Archives 2025 Paper
Posture-Informed Muscular Force

Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation

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

NeurIPS 2024 Paper Project
Billion-scale Foundation Model

A Billion-scale Foundation Model for Remote Sensing Images

Keumgang Cha, Junghoon Seo, and Taekyung Lee

IEEE J-STARS 2024 Paper

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 Paper

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

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

NeurIPS Workshop 2023 Paper
Prototype-oriented Unsupervised CD

Prototype-oriented Unsupervised Change Detection for Disaster Management

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

NeurIPS Workshop 2023 Paper
Semi-Implicit Hybrid Gradient

Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness

Beomsu Kim and Junghoon Seo

AISTATS 2022 Paper Video

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 Paper

Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation

Keumgang Cha, Junghoon Seo, and Yeji Choi

IEEE GRSL 2021 Paper
Training Domain-invariant Object Detector

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

Chaehyeon Lee, Junghoon Seo, and Heechul Jung

CVPR Workshop 2021 Paper
On the Power of Deep but Naive Partial Label

On the Power of Deep but Naive Partial Label Learning

Junghoon Seo and Joon Suk Huh

IEEE ICASSP 2021 Paper

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

Yooseung Wang, Junghoon Seo, and Taegyun Jeon

IEEE GRSL 2021 Paper
Revisiting Classical Bagging

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 Paper
Deep Closed-Form Subspace Clustering

Deep Closed-Form Subspace Clustering

Junghoon Seo, Jamyoung Koo, and Taegyun Jeon

ICCV Workshop 2019 Paper
Why are Saliency Maps Noisy

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 Paper
Bridging Adversarial Robustness

Bridging Adversarial Robustness and Gradient Interpretability

Beomsu Kim, Junghoon Seo, and Taegyun Jeon

ICLR Workshop 2019 Paper

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 Paper
Noise-adding Methods of Saliency Map

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 Paper
Domain Adaptive Generation of Aircraft

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

Junghoon Seo, Seunghyun Jeon, and Taegyun Jeon

ACML Workshop 2017 Paper

Multi-task Learning for Fine-grained Visual Classification of Aircraft

Seunghyun Jeon, Junghoon Seo and Taegyun Jeon

ACML Workshop 2017

All publications

Work in progress

  • Pressure Estimation for Hand-based Interaction
  • Scalable Multi-robot System
  • Data-efficient RGB-D Pose Estimation
  • System Identification on Jordan Block
  • Lipschitz Bandits under Delay
  • Scalable Scheduling for Battery Swapping Service

Awards & Honors

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: AAAI '27, ECCV '26, ICLR '26, CVPR '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