Sujin's Homepage

Sujin Jang, Ph.D.

AI|Computer Vision Researcher

Hello! I am a Principal Researcher at SAIT (Samsung Advanced Institute of Technology) in Suwon, South Korea. Previously, I was a Machine Learning Researcher at Motorola Mobility LLC. in Chicago, IL. Before that, I completed my Ph.D. at Purdue University under the guidance of Dr. Karthik Ramani, focusing on the interaction between humans and machine learning models. Throughout my research career, I have actively engaged in diverse areas of study, encompassing machine learning, human-computer interaction, computer vision, and robotics. Currently at SAIT, my primary focus is on developing cutting-edge methodologies in multi-modal 3D scene understanding, cross-modal representation learning, and domain generalization for various computer vision tasks in the field of autonomous driving and robotics.

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Publications

(∗: equal contributions, †: corresponding authors)

Conference Proceedings

Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
Nayeon Kim^∗, Hongje Seong^∗, Daehyun Ji, Sujin Jang^†
Conference on Neural Information Processing Systems (NeurIPS, 25.8% acceptance rate), 2024
[paper] [bibtex]

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
Gyusam Chang^∗, Jiwon Lee^∗, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang^†, Sangpil Kim^†
Conference on Neural Information Processing Systems (NeurIPS, 25.8% acceptance rate), 2024
[paper] [bibtex]

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-based 3D Object Detection
Gyusam Chang^∗, Wonweok Roh^∗, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim
AAAI Conference on Artificial Intelligence (AAAI, 23.7% acceptance rate), 2024
[paper] [arXiv] [supp] [video] [poster] [bibtex]

STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
Sujin Jang^∗, Dae Ung Jo^∗, Sung Ju Hwang, Dongwook Lee, Daehyun Ji
Conference on Neural Information Processing Systems (NeurIPS, 26.1% acceptance rate), 2023
[paper] [slides] [poster] [bibtex]

DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Sujin Jang, Joohan Na, Dokwan Oh
Conference on Neural Information Processing Systems (NeurIPS-Oral, 184/2665~6.9%), 2022
[paper] [project_page] [slides] [poster] [bibtex]

Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion
Sujin Jang, Wolfgang Stüerzlinger, Satyajit Ambike, Karthik Ramani
ACM Conference on Human Factors in Computing Systems (CHI, 25% acceptance rate), 2017
[paper] [slides] [code] [bibtex]

A Collaborative Filtering Approach to Real-Time Hand Pose Estimation
Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani
IEEE International Conference on Computer Vision (ICCV), 2015
[paper] [supp] [video] [bibtex]

GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures
Sujin Jang, Niklas Elmqvist, Karthik Ramani
ACM Symposium on Spatial User Interaction (SUI, 29% acceptance rate), 2014
[paper] [video] [bibtex]

PuppetX: A Framework for Gestural Interactions With User Constructed Playthings
Saikat Gupta, Sujin Jang, Karthik Ramani
ACM Conference on Advanced Visual Interfaces (AVI, 28% acceptance rate), 2014
[paper] [video] [bibtex]

Experimental Results for Moving Object Structure Estimation using an Unknown Input Observer Approach
Sujin Jang, Ashwin Dani, Carl Crane, Warren Dixon
ASME Dynamic Systems and Control Conference (DSCC, Best Paper in Session Award), 2012
[paper] [video] [bibtex]

Journal Articles

Advanced Modeling Method for Quantifying Cumulative Subjective Fatigue in Mid-Air Interaction
Ana Villanueva^∗, Sujin Jang^∗, Wolfgang Stüerzlinger, Satyajit Ambike, Karthik Ramani
International Journal of Human-Computer Studies (IJHCS), Vol 169, 2023
[paper] [bibtex]

MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data
Sujin Jang, Niklas Elmqvist, Karthik Ramani
IEEE Transaction on Visualization and Computer Graphics (TVCG), Vol 22. no.1, 2016
Presented at IEEE Conference on Visual Analytics Science & Technology (VAST, 22% acceptance rate), 2015
[paper] [video-30sec] [video-full] [slides] [bibtex]

Patents

Method and Apparatus with Object Estimation Model Training
Sujin Jang, Dae Ung Jo
US Patent App. 18/340,996, 2024

Method and Apparatus with Object Detector Training
Sujin Jang, Sangpil Kim, Jinkyu Kim, Wonseok Roh, Gyusam Chang, Dongwook Lee, Daehyun Ji
US Patent App. 18/451,287, 2024

Method and Apparatus with Data Labeling
Jaewoo Lee, Yonggonjong Park, Kapje Sung, Sujin Jang
US Patent App. 18/109,928, 2023

Method and Device with Data Processing using Neural Network
Sujin Jang, Joohan Na, Dokwan Oh
US Patent App. 17/575,002, 2022

Pressure Sensing Device Interface Representation
Nikhil Ambha Madhusudhana, Vivek Kumar Tyagi, Navin Dabhi, Hong Zhao, Sujin Jang
US Patent 11,320,984, 2022

Modifying an Image based on Identifying a Feature
Ming Qian, Sujin Jang, John W. Nicholson, Song Wang
US Patent 11,023,769, 2021

Professional Experience

∘ SAIT (Samsung Advanced Institute of Technology), Suwon, South Korea

⋅ Principal Researcher

Technical Lead, Multi-view 3D vision systems for autonomous driving;
Cross-modal representation learning;
Unsupervised domain adaptation & generalization;
Compositional generalization & causality

⋅ Staff Researcher

Multi-view 3D vision systems for autonomous driving;
Cross-modal representation learning;
Unsupervised domain adaptation & generalization

∘ System LSI, Samsung Electronics Co., Hwaseong, South Korea

⋅ Staff Engineer

Object detection and semantic segmentation for autonomous driving;
Hardware-aware quantization;
GPU/NPU compiler for optimal neural network inference

∘ Motorola Mobility LLC., Chicago, IL, USA

⋅ Machine Learning Staff Researcher

Object detection, semantic segmentation, and hand pose estimation for AR/VR applications;
Optimization and acceleration of neural network models for smart mobile devices;
Human activity analyses based on various types of wearable sensors;
Machine learning algorithms for smart mobile/healthcare devices

Education

∘ Purdue University, West Lafayette, Indiana, USA

⋅ Ph.D., Mechanical Engineering (May 2017)

Advisor: Dr. Karthik Ramani

Specialization: Human-computer interaction; machine learning; visual analytics; robotics

Thesis: Methods for Analyzing Natural Patterns and Physical Ergonomics of Human Gestures in Mid-Air Interaction

∘ University of Florida, Gainesville, Florida, USA
⋅ M.S., Mechanical Engineering (Aug. 2012)

Advisor: Dr. Carl D. Crane III and Dr. Warren E. Dixon

Specialization: Vision-based control; machine learning; robotics

Thesis: Structure Estimation of Moving Objects Using Unknown Input Observers

∘ Kookmin University, Seoul, South Korea
⋅ B.S., Mechanical and Automotive Engineering (Aug. 2010)

Advisor: Dr. Jungha Kim

Undergraduate Research Assistant, Unmanned Vehicle Lab.

Honors and Awards

∘ Samsung Best Paper Award Bronze (AI/SW), Samsung Group

Awarded for "Distortion-aware Domain Adaptation" (2023)

∘ Boundless Search for Breakthroughs Award, SAIT, Samsung Electronics

Awarded for "Autonomous Driving" (2022)

∘ Estus H. and Vashti L. Magoon Award for Teaching Excellence, Purdue University

Awarded for excellent teaching in "ME444: Computer-Aided Design and Rapid Prototyping" (2015)

∘ Best Paper in Session Award, ASME Dynamic Systems and Control Conference

Awarded for "Experimental Results for Moving Object Structure Estimation using an Unknown Input Observer Approach" (2012)

Scientific Community Service

∘ Active Service

[CVPR] Reviewer, IEEE Conference on Computer Vision and Pattern Recognition (2023~)

[ECCV] Reviewer, European Conference on Computer Vision (2024)

[AAAI] Reviewer, AAAI Conference on Artificial Intelligence (2025)

[CSCW] Reviewer, ACM Conference on Computer Supported Collaborative Work (2016~)

[CHI] Reviewer, ACM Conference on Human Factors in Computing Systems (2016~)

∘ Past Service

[ISMAR] Reviewer, IEEE International Symposium on Mixed and Augmented Reality (2021)

[VR] Reviewer, IEEE Conference on Virtual Reality and 3D User Interfaces (2018~2019)

[3DUI] Reviewer, IEEESymposium on 3D User Interfaces (2016)

[TVCG] Reviewer, IEEE Transaction on Visualization and Computer Graphics (2017)

[VAST] Reviewer, IEEE Conference on Visual Analytics Science and Technology (2016~2020)

[InfoVis] Reviewer, IEEE Conference on Information Visualization (2015)

[EuroVis] Reviewer, EG/VGTC Conference on Data Visualization (2016)

[VIS] Student Volunteer (2015)

[UIST] Reviewer, ACM Symposium on User Interface Software and Technology (2018)

[MobileCHI] Reviewer, ACM International Conference on Mobile Human-Computer Interaction (2019)

[SUI] Reviewer, ACM Symposium on Spatial User Interaction (2019)

[DIS] Reviewer, ACM Conference on Designing Interactive Systems (2016~2017)

[TEI] Reviewer, ACM Conference on Tangible, Embedded, and Embodied Interaction (2017)

[IDC] Reviewer, ACM Conference on Interaction Design and Children (2017)

[VRST] Reviewer, ACM Conference on Virtual Reality Software and Technology (2017)

[JCISE] Reviewer, ASME Journal of Computing and Information Science in Engineering (2023)

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