AI Robot Team · PIT IN Corp.

서정훈

자율주행과 로보틱스를 위한 컴퓨터 비전·머신러닝 연구를 이끄는 수석연구원입니다. 위성/항공 이미지와 HCI 센싱까지 폭넓게 다루며, GPU 병렬 컴퓨팅과 컴퓨터 그래픽스에도 관심이 많습니다.

컴퓨터 비전 머신러닝 원격탐사 GPGPU/병렬컴퓨팅 HCI 센싱
서정훈
대전·서울 기반 · 협업 환영

#### 전문 분야

  • 머신러닝, 컴퓨터 비전, 컴퓨터 그래픽스, 그리고 원격 탐사 응용
  • 고성능컴퓨팅에서의 병렬 컴퓨팅 및 GPGPU
  • 인간-컴퓨터 상호작용을 위한 지능형 센싱 기술

#### 경력

  • 2024년 12월 - 현재, AI Robot Team 수석연구원 @ PIT IN Corp.
  • 2020년 9월 - 2024년 9월, 인공지능연구소 기술 리더 & 공동 창업자 @ SI Analytics
  • 2017년 7월 - 2020년 2월, 머신러닝 및 컴퓨터 비전 연구원 @ Satrec Initiative

#### 학위

  • 2023년 3월 - 2025년 2월, KAIST, 대전, 대한민국
  • 2014년 3월 - 2021년 2월, GIST, 광주, 대한민국
    • 학사 학위, 전기전자 및 컴퓨터 공학 전공

출판 이력 (Google Scholar)

  • 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. 2025. Link
  • Thumb Force Estimation with Egocentric Vision
    • Hanseok Jeong, Junghoon Seo, Sang Ho Yoon
    • ACM UIST Demo. 2025. Link
  • 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. Link
  • Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer
    • Hakjin Lee, Minki Song, Jamyoung Koo, Junghoon Seo
    • IEEE WACV. 2025. Link
  • Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
    • Junghoon Seo, Kyungjin Seo, Hanseok Jeong, Sangpil Kim, Sang Ho Yoon
    • NeurIPS. 2024. Link
  • A Billion-scale Foundation Model for Remote Sensing Images
    • Keumgang Cha, Junghoon Seo, and Taekyung Lee
    • IEEE J-STARS. 2024. Link
  • 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. Link
  • 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. Link
  • Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
    • Beomsu Kim and Junghoon Seo
    • AISTATS. 2022. Link
  • 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. Link
  • Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation
    • Keumgang Cha, Junghoon Seo, and Yeji Choi
    • IEEE GRSL. 2021. Link
  • Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
    • Chaehyeon Lee, Junghoon Seo, and Heechul Jung
    • CVPR Workshop. 2021. Link
  • On the Power of Deep but Naive Partial Label Learning
    • Junghoon Seo and Joon Suk Huh
    • IEEE ICASSP. 2021. Link
  • NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
    • Yooseung Wang, Junghoon Seo, and Taegyun Jeon
    • IEEE GRSL. 2021. Link
  • 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. Link
  • Deep Closed-Form Subspace Clustering
    • Junghoon Seo, Jamyoung Koo, and Taegyun Jeon
    • ICCV Workshop. 2019. Link
  • 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. Link
  • Bridging Adversarial Robustness and Gradient Interpretability
    • Beomsu Kim, Junghoon Seo, and Taegyun Jeon
    • ICLR Workshop. 2019. Link
  • 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. Link
  • 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. Link
  • Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning
    • Junghoon Seo, Seunghyun Jeon, and Taegyun Jeon
    • ACML Workshop. 2017. Link
  • Multi-task Learning for Fine-grained Visual Classification of Aircraft
    • Seunghyun Jeon, Junghoon Seo and Taegyun Jeon
    • ACML Workshop. 2017.

#### 리뷰 중인 작업 타이틀

  • Pressure Estimation for Hand-based Interaction
  • Hand-Raycasting with Hand Force
  • Off-policy Evaluation from Multiple Logging Policies
  • Monocular RGB Category-level Multi-object Pose Estimation
  • Efficient and Robust Camera Calibration

#### 강연 및 발표

  • 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. Presentation (Korean)
  • Deep Perceptual Super-resolution: Going Beyond Distortion @ KARI. Jul 2018. Presentation

#### 리뷰어 활동

  • 저널: IEEE TPAMI, IEEE TNNLS, IEEE TGRS, IEEE GRSL 등
  • 학회: ICLR `26, CVPR `26, AISTATS `26, NeurIPS `25, ICML `25 등

특허

  • Method for detecting object, 등록, 10-2364882
  • Method for detecting on-the-fly disaster damage based on image, 등록, 10-2255998
  • Method for predicting frame using deep learning, 출원, 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, 출원, 10-2023-0075347
  • Method of training object prediction models using ambiguous labels, 출원, 10-2022-0000169
  • Method for detecting object, 출원, 10-2021-0168545
  • Method to detect object, 출원, 10-2021-0135451
  • Method for data clustering, 출원, 10-2020-0107206

참고
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