Journal Paper

• Yen-L. Tai, Kai-Y. Cheng, Yu-C. Tseng, Yi-Ting Chen, Chih-S. Lai, "LVADet: A Computer Vision-Based System for Detecting Lymphatic Vessels in Indocyanine Green Images," IEEE Access, 2024. [IEEE]

• S. Shieh, J. Voas, P. Laplante, J. Rupe, C. Hansen, Y.-S. Wu, Y.-T Chen, C.-Y. Li, K.-C. Wu, "Reliability Engineering in a Time of Rapidly Converging Technologies," IEEE Transactions on Reliability, Volume: 73, Issue: 1, 2024. [IEEE]

• C. Li, S. H. Chan, Y.-T. Chen, "DROID: Driver-centric Risk Object Identification," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume: 45, Issue: 11, 01, November, 2023. [paper][IEEE]

• J. Kim, A. Rohrbach, Z. Akata, S. Moon, T. Misu, Y.-T. Chen, T. Darrell, and J. Canny, "Towards Explainable and Advisable Model for Self-driving Cars," Applied AI Letters, 2021. [paper]

• A. Ceravola, F. Joublin, H. Wersing, S. Hasler, B. Dariush, and Y.-T. Chen, "A Data Management Infrastructure for Intelligent Systems," Journal of the Japanese Society for Artificial Intelligence, Vol. 33, No. 1, January 2018.

Technical Report

• Yu-Hong Shen, Chuan-Yu Wu, Yi-Ru Yang, Yen-Ling Tai, Yi-Ting Chen, Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance-Guided, Self-Consistent MLLMs for Food Preparation Task Planning, arXiv 2025. [paper][project page][code]

Conference Paper

• Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai, "What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning," IEEE International Conference on Computer Vision (ICCV), 2025. [paper][project page][code]

• An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen, Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers, IEEE International Conference on Computer Vision (ICCV), 2025. [paper][project page][code]

• Zihao Chen, Hsuan-Yu Wu, Chi-Hsi Kung, Yi-Ting Chen, Yan-Tsung Peng, ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset, IEEE International Conference on Intelligent Robots and Systems (IROS) 2025. [paper][project page][code]

• Yufei Wang , Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erikson, David Held, "ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation," Robotics: Science and Systems (RSS), 2025. [paper][Project Page][Code] 

• Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen, "Toward Real-World BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [paper][Project Page][Code]

• Van-Tin Luu, Yong-Lin Cai, Vu-Hoang Tran, Wei-Chen Chiu, Yi-Ting Chen, Ching-Chun Huang, "RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [paper][Project Page][Code]

• Pang-Yuan Pao, Shu-Wei Lu, Ze-Yan Lu, Yi-Ting Chen, "Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification," IEEE Conference on Robotics and Automation (ICRA) 2025. [paper][project page][code]

• Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston H Hsu, VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation, International Conference on Learning Representation (ICLR), 2025. [paper][Project Page]

• Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H Hsu, AED: Adaptable Error Detection for Few-shot Imitation Policy, Conference on Neural Information Processing Systems (NeurIPS), 2024. [paper][Project Page]

• An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen, Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers, European Conference on Computer Vision (ECCV), Observing and Understanding Hands in Action, (Extended Abstract), 2024. [paper]

• Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen, Action-Slot: Visual Action-centric Representation for Atomic Activity Recognition in Traffic Scenes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [paper][Project Page][Code]

• Chi-Hsi Kung, Chieh-Chi Yang, Pang-Yuan Pao, Shu-Wei Lu, Pin-Lun Chen, Hsin-Cheng Lu, Yi-Ting Chen, RiskBench: A Scenario-based Risk Identification Benchmark, IEEE Conference on Robotics and Automation (ICRA), 2024. [paper][Project Page][Code]

• Chia-Liang Kuo, Yu-Wei Chao, Yi-Ting Chen, SKT-Hang: Hanging Everyday Objects via Object-Agnostic Semantic Keypoint Trajectory Generation, IEEE Conference on Robotics and Automation (ICRA), 2024. [paper][Project Page][Code][NVIDIA blog]

• Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting Chen, SCONE: A Food Scooping Robot Learning Framework with Active Perception, Conference on Robot Learning (CoRL), 2023. [paper][Project Page][Code][NVIDIA blog]

• Nakul Agarwal and Yi-Ting Chen, Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding, IEEE International Conference on Computer Vision (ICCV), 2023. [paper][Project Page]

• Yu-En Liu, Chun-Yu Chai, Yi-Ting Chen, and Shiao-Li Tsao, "Content Estimation through Tactile Interactions with Deformable Containers," IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. [paper][video] 

• C.-M. Chung*, Y.-C. Tseng, Y.-C. Hsu, X.-Q. Shi, Y.-H. Hua, J.-F. Yeh, Y.-T. Chen, W.-C. Chen, Winston Hsu, "Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping," IEEE Conference on Robotics and Automation (ICRA), 2023. [paper][code]

• N. Agarwal, Y.-T. Chen, "Towards Driver Behavior Understanding: Risk Perception in Driving Scenes," NeurIPS ML4AD workshop, 2022. [paper]

• Z. Xiao, A. Yuille, Y.-T. Chen, "Learning Road Scene-level Representations via Semantic Region Prediction," Conference on Robot Learning (CoRL), 2022. [paper][OpenReview]

• Jia-Fong Yeh*, Chi-Ming Chung*, Hung-Ting Su, Y.-T. Chen, and Winston H. Hsu, "Stage Conscious Attention Network (SCAN) : A Demonstration-conditioned Policy for Few-shot Imitation," AAAI 2022 (15% acceptance rate). [paper][Project Page]

• I. Dwivedi, S. Malla, Y.-T. Chen, and B. Dariush, "Bird’s Eye View Segmentation Using Lifted 2D Semantic Features," British Machine Vision Conference (BMVC), 2021. [paper]

• J. Wang, H. Gang, S. Ancha, Y.-T. Chen, D. Held, "Semi-supervised 3D Object Detection via Temporal Graph Neural Networks," International Conference on 3D Vision (3DV), 2021. [project page]

• N. Agarwal, Y.-T. Chen, B. Dariush, and M.-H. Yang, "Unsupervised Domain Adaptation for Spatio-Temporal Action Localization," British Machine Vision Conference (BMVC), 2020. [paper]

• C. Li, S. H. Chan, and Y.-T. Chen, "Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference," IEEE International Conference on Intelligent Robots and Systems (IROS), 2020. [paper]

• J. Wang, S. Ancha, Y.-T. Chen, D. Held, "Uncertainty-aware Self-supervised Learning for 3D Data Association," IEEE International Conference on Intelligent Robots and Systems (IROS), 2020. [paper]

• C. Li, Y. Meng, S. H. Chan, and Y.-T. Chen, "Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks," IEEE Conference on Robotics and Automation (ICRA), 2020. [paper][project page]

• A. Taha, Y.-T. Chen, T. Misu, A. Shrivastava, L. Davis, " Boosting Standard Classification Architectures Through a Ranking Regularizer," IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. [paper][code]

• M. Xu*, M. Gao*, Y.-T. Chen, L. Davis, and D. Crandall, "Temporal Recurrent Networks for Online Action Detection," IEEE International Conference on Computer Vision (ICCV), 2019. [paper][code] 

• J. Kim, T. Misu, Y.-T. Chen, A. Tawari, and J. Canny, "Grounding Human-to-Vehicle Advice for Self-driving Vehicles," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper][project page]

• A. Patil, S. Malla, H. Gang, and Y.-T. Chen, "The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes," IEEE Conference on Robotics and Automation (ICRA), 2019. [paper][project page]

• A. Narayanan, S. Malla, Y.-T. Chen, "Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection," IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR-W), 2018. [paper]

• V. Ramanishka, Y.-T. Chen, T. Misu, and K. Saenko, "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper][project page]

• T. Misu and Y.-T. Chen, "Toward Reasoning of Driver Behavior," IEEE Conference on Intelligent Transportation Systems (ITSC), 2018.

• C.-Y. Wang, A. Narayanan, A. Patil, W. Zhan, and Y.-T. Chen, "A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems," IEEE Intelligent Vehicle Symposium (IV), 2018. [paper][video]

• W. Zhan, A. de La Fortelle, Y.-T. Chen, C.-Y. Chan, and M. Tomizuka, "Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric," IEEE Intelligent Vehicle Symposium (IV), 2018.

• Y. Lu, J. Huang, Y.-T. Chen, B. Heisele, "Monocular Localization in Urban Environments using Road Marking," Intelligent Vehicles Symposium (IV), 2017. [paper]

• G. Zhong, Y.-H. Tsai, Y.-T. Chen, M.-H. Yang, X. Mei, D. Prokhorov, and M. James, "Learning to Tell Brake Lights with Convolutional Features," International Conference on Intelligent Transportation Systems (ITSC), 2016.

• Y.-T. Chen, X. Liu and M.-H. Yang, "Multi-instance Object Segmentation with Occlusion Handling," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [project webpage][paper][ext. abstract][supp][poster][slide] 

• Y.-T. Chen, J. Yang, and M.-H. Yang, "Extracting Image Regions by Structured Edge Prediction," IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. [project webpage][paper][poster][code] 

• A. Jumabayeva, Y.-T. Chen, T. Frank, R. Ulichney, and J. P. Allebach, "Design of irregular screen sets that generate maximally smooth halftone patterns," Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 2015. [paper] 

• Y.-T. Chen, T. Kashti, T. Frank, R. Ulichney, and J. P. Allebach, "Fourier-based analysis of regular and irregular periodic, clustered-dot halftone textures," International Congress of Imaging Science (ICIS), 2014. [paper] 

• Y.-T. Chen, T. Nelson, T. Ogle, H. Ren, M. Q. Shaw, and J. P. Allebach, "Laser Scanner Jitter Characterization," IS&T International Conference on Digital Printing Technologies (NIP), 2013. [paper] 

• Y.-T. Chen, D.-Y. Tzeng, T. Nelson, M. Q. Shaw, and J. P. Allebach, "Segmentation for Better Rendering of Mixed-Content Pages," Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications, 2013. [paper] 

• Y.-T. Chen, Z. Li, and T. S. Huang, "A Study of Multi-View Gender Recognition on a Large Database," accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2010. [paper]