(C=Conference, J=Journal, P=Preprint, ∗: Equal contributions, †: Corresponding authors)
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[P4] RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design
Gyusam Chang, Jeongyoon Yoon, JaeHyeok Lee, Sujin Jang, Sangpil Kim
Preprint
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[P3] MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines
Lu Xu, Jiaqian Yu, Xiongfeng Peng, Yiwei Chen, Weiming Li, Jaewook Yoo, Sunghyun Chung, Sujin Jang, Dongwook Lee, Daehyun Ji, Chao Zhang
Preprint
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[P2] Cross-Modal Domain Generalization for Multi-View 3D Object Detection
Gyusam Chang, Jiwon Lee, Sujin Jang†, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Wonjeong Ryoo, Sangpil Kim†
Preprint
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[P1] Understanding Dimensional Collapse in Cross-Modal Feature Distillation
Dae Ung Jo, Sujin Jang*, Jay Heo, Sung Ju Hwang
Preprint
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[C14]
DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation
Xiongfeng Peng, Jiaqian Yu, Dingzhe Li, Yixiang Jin, Xu Lu, Yamin Mao, Chao Zhang, Weiming Li,
Sujin Jang, Dongwook Lee, Daehyun Ji
Proceedings of the IEEE International Conference on Robotics and Automation
(
ICRA), 2026
[paper]
-
[C13]
Active Test-time Vision-Language Navigation
Heeju Ko, Sungjune Kim, Gyeongrok Oh, Jeongyoon Yoon, Honglak Lee,
Sujin Jang, Seungryong Kim, Sangpil Kim
Proceedings of the Conference on Neural Information Processing Systems
(
NeurIPS, 24.5% acceptance rate), 2025
[arXiv]
[project_page]
[code]
-
[C12]
Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
Sungjune Kim*, Gyeongrok Oh*, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee,
Sujin Jang†, Sangpil Kim†
Proceedings of the International Conference on Machine Learning
(
ICML, 26.9% acceptance rate), 2025
[paper]
-
[C11]
3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
Gyeongrok Oh*, Sungjune Kim*, Heeju Ko, Hyung-gun Chi, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sungjoon Choi,
Sujin Jang†, Sangpil Kim†
Proceedings of the Conference on Computer Vision and Pattern Recognition
(
CVPR, 22.1% acceptance rate), 2025
[paper]
[project_page]
-
[C10]
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
Nayeon Kim*, Hongje Seong*, Daehyun Ji,
Sujin Jang†
Proceedings of the Conference on Neural Information Processing Systems
(
NeurIPS, 25.8% acceptance rate), 2024
[paper]
[project_page]
-
[C9]
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†
Proceedings of the Conference on Neural Information Processing Systems
(
NeurIPS, 25.8% acceptance rate), 2024
[paper]
[project_page]
[code]
-
[C8]
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang*, Wonseok Roh*,
Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim
Proceedings of the AAAI Conference on Artificial Intelligence
(
AAAI, 23.7% acceptance rate), 2024
[paper]
[arXiv]
[supp]
[poster]
[video]
-
[C7]
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
Proceedings of the Conference on Neural Information Processing Systems
(
NeurIPS, 26.1% acceptance rate), 2023
[paper]
[slides]
[poster]
-
[J2]
Advanced Modeling Method for Quantifying Cumulative Subjective Fatigue in Mid-Air Interaction
Ana Villanueva*,
Sujin Jang*, Wolfgang Stürzlinger, Satyajit Ambike, Karthik Ramani
International Journal of Human-Computer Studies (
IJHCS)
, 2023
[paper]
-
[C6]
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Sujin Jang†, Joohan Na, Dokwan Oh
Proceedings of the Conference on Neural Information Processing Systems
(
NeurIPS, 6.9% acceptance rate-Oral), 2022
[paper]
[project_page]
[slides]
[poster]
-
[C5]
Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion
Sujin Jang, Wolfgang Stürzlinger, Satyajit Ambike, Karthik Ramani
Proceedings of the ACM Conference on Human Factors in Computing Systems
(
CHI, 25% acceptance rate), 2017
[paper]
[slides]
[code]
-
[J1]
MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data
Sujin Jang, Niklas Elmqvist, Karthik Ramani
IEEE Transactions on Visualization and Computer Graphics (
TVCG)
, 2016
[paper]
[slides]
[video]
-
[C4]
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation
Chiho Choi, Ayan Sinha, Joon Hee Choi,
Sujin Jang, Karthik Ramani
Proceedings of theIEEE International Conference on Computer Vision
(
ICCV), 2015
[paper]
[supp]
[video]
-
[C3]
GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures
Sujin Jang, Niklas Elmqvist, Karthik Ramani
Proceedings of theACM Symposium on Spatial User Interaction
(
SUI, 29% acceptance rate), 2014
[paper]
[video]
-
[C2]
PuppetX: A Framework for Gestural Interactions With User Constructed Playthings
Saikat Gupta,
Sujin Jang, Karthik Ramani
Proceedings of the ACM Conference on Advanced Visual Interfaces
(
AVI, 28% acceptance rate), 2014
[paper]
[video]
-
[C1]
Experimental Results for Moving Object Structure Estimation using an Unknown Input Observer Approach
Sujin Jang, Ashwin Dani, Carl Crane, Warren Dixon
Proceedings of the ASME Dynamic Systems and Control Conference
(
DSCC), 2012
Best Paper in Session Award
[paper]
[video]
- Granted
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[G3] Method and Device with Data Processing Using Neural Network
Sujin Jang, Joohan Na, Dokwan Oh
US Patent 12,169,917, 2024
-
[G2] Pressure Sensing Device Interface Representation
Nikhil Ambha Madhusudhana, Vivek Tyagi, Navin Dabhi, Hong Zhao, Sujin Jang
US Patent 11,320,984, 2022
-
[G1] Modifying an Image Based on Identifying a Feature
Ming Qian, Sujin Jang, John Weldon Nicholson, Song Wang
US Patent 11,023,769, 2021
Published & Pending
-
[P10] Method and Device with Autonomous Driving
Dongwook Lee, Ui Kun Kwon, Seho Shin, Jaewook Yoo, Sujin Jang, Jahoo Koo, Younho Kim, Joohan Na, Yonggonjong Park, Moonsub Byeon, Youngwan Seo, Dae Ung Jo, Dae Hyun Ji, Jaejoon Han, Jawook Huh
US Patent App. 19/012,313, 2026
[P9] Method and Apparatus with 3D Occupancy Prediction Learning
Sujin Jang, Sangpil Kim, Sungjune Kim, Jinkyu Kim, Gyeongrok OH, Dongwook Lee, Dae Hyun Ji
US Patent App. 18/972,088, 2025
[P8] Method and Apparatus with Three-Dimensional Object Detection
Lee Jiwon, Sangpil Kim, Jinkyu Kim, Dongwook Lee, Gyusam Chang, Sujin Jang, Dae Hyun Ji
US Patent App. 19/040,535, 2025
[P7] Method and Apparatus with Vehicle Driving Control
Hongje Seong, Nayeon Kim, Sujin Jang, Dae Hyun Ji
US Patent App. 18/936,286, 2025
[P6] Method and Apparatus with Object Detection Model Training
Sujin Jang, Sangpil Kim, Jinkyu Kim, Won Jeong Ryoo, Dongwook Lee, Gyusam Chang, Dae Hyun Ji
US Patent App. 18/897,759, 2025
[P5] Method and Apparatus with Vector Map Learning and Generation
Nayeon Kim, Sujin Jang, Dae Ung Jo
US Patent App. 18/605,119, 2025
[P4] Method and Device with Data Processing Using Neural Network
Sujin Jang, Joohan Na, Dokwan Oh
US Patent App. 18/934,744, 2025
[P3] Method and Apparatus with Object Estimation Model Training
Sujin Jang, Dae Ung Jo
US Patent App. 18/340,996, 2024
[P2] Method and Apparatus with Object Detector Training
Sujin Jang, Sangpil Kim, Jinkyu Kim, Wonseok Roh, Gyusam Chang, Dongwook Lee, Dae Hyun Ji
US Patent App. 18/451,287, 2024
[P1] Method and Apparatus with Data Labeling
Jaewoo Lee, Yonggonjong Park, KapJe Sung, Sujin Jang
US Patent App. 18/109,928, 2023
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