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ORCIDYi-Ting Chen 0001
Person information
- affiliation: National Yang Ming Chiao Tung University, Taiwan
Other persons with the same name
- Yi-Ting Chen (aka: Yiting Chen, Yi Ting Chen) — disambiguation page
- Yi-Ting Chen 0002 — InfoTech Frankfurt, Frankfurt am Main, Germany (and 1 more)
- Yi-Ting Chen 0005 — Sorbonne University, LIP6, Paris, France
- Yi-Ting Chen 0006
![[0009-0000-6537-8926]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0000-6537-8926")
— National Taiwan Ocean University, Department of Electrical Engineering, Keelung, Taiwan - Yi-Ting Chen 0007 — National Kaohsiung University of Applied Sciences, Department of Electronic Engineering, Kaohsiung, Taiwan
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2020 – today
- 2024
[j2]Shiuhpyng Winston Shieh, Jeffrey M. Voas, Phil Laplante, Jason W. Rupe, Christian K. Hansen, Yu-Sung Wu, Yi-Ting Chen, Chi-Yu Li, Kai-Chiang Wu:
Reliability Engineering in a Time of Rapidly Converging Technologies. IEEE Trans. Reliab. 73(1): 73-82 (2024)- [c25]Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Action-Slot: Visual Action-Centric Representations for Multi-Label Atomic Activity Recognition in Traffic Scenes. CVPR 2024: 18451-18461 - [c24]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 Benchmark for Risk Identification. ICRA 2024: 14800-14807 - 2023
- [j1]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
DROID: Driver-Centric Risk Object Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13683-13698 (2023) - [c23]Nakul Agarwal, Yi-Ting Chen:
Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding. ICCV 2023: 8590-8602 - [c22]Yu-En Liu, Chun-Yu Chai, Yi-Ting Chen, Shiao-Li Tsao:
Content Estimation Through Tactile Interactions with Deformable Containers. IROS 2023: 8958-8963 - [i18]Srikanth Malla, Yi-Ting Chen:
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping. CoRR abs/2302.14306 (2023) - [i17]Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes. CoRR abs/2311.17948 (2023) - [i16]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 Benchmark for Risk Identification. CoRR abs/2312.01659 (2023) - 2022
- [i15]Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held:
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. CoRR abs/2202.00182 (2022) - 2021
- [c21]Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held:
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. 3DV 2021: 413-422 - [c20]Isht Dwivedi, Srikanth Malla, Yi-Ting Chen, Behzad Dariush:
Bird's Eye View Segmentation Using Lifted 2D Semantic Features. BMVC 2021: 383 - [c19]Yu-Quan Wang, Yi-Ting Chen, Man-Lin Wu, Ching-Hsiang Ko, Hao-Wei Hwang, Yung-Yao Chen:
Fusing Multi-Modality Information for 3D Road Obstacle Detection. ISPACS 2021: 1-2 - [i14]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Driver-centric Risk Object Identification. CoRR abs/2106.13201 (2021) - 2020
- [c18]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. BMVC 2020 - [c17]Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen:
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. ICRA 2020: 8418-8424 - [c16]Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held:
Uncertainty-aware Self-supervised 3D Data Association. IROS 2020: 8125-8132 - [c15]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. IROS 2020: 10711-10718 - [c14]Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Boosting Standard Classification Architectures Through a Ranking Regularizer. WACV 2020: 747-755 - [i13]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. CoRR abs/2003.02425 (2020) - [i12]Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held:
Uncertainty-aware Self-supervised 3D Data Association. CoRR abs/2008.08173 (2020) - [i11]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. CoRR abs/2010.09211 (2020)
2010 – 2019
- 2019
- [c13]Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. CVPR 2019: 10591-10599 - [c12]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. ICCV 2019: 5531-5540 - [c11]Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen:
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. ICRA 2019: 9552-9557 - [i10]Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis:
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems. CoRR abs/1901.07702 (2019) - [i9]Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Larry Davis:
In Defense of the Triplet Loss for Visual Recognition. CoRR abs/1901.08616 (2019) - [i8]Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. CoRR abs/1902.02586 (2019) - [i7]Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen:
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. CoRR abs/1903.01568 (2019) - [i6]Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen:
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. CoRR abs/1909.09272 (2019) - [i5]Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-to-Vehicle Advice for Self-driving Vehicles. CoRR abs/1911.06978 (2019) - 2018
- [c10]Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko:
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. CVPR 2018: 7699-7707 - [c9]Teruhisa Misu, Yi-Ting Chen:
Toward Reasoning of Driving Behavior. ITSC 2018: 204-209 - [c8]Wei Zhan, Arnaud de La Fortelle, Yi-Ting Chen, Ching-Yao Chan, Masayoshi Tomizuka:
Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric. Intelligent Vehicles Symposium 2018: 1150-1156 - [c7]Chien-Yi Wang, Athma Narayanan, Abhishek Patil, Wei Zhan, Yi-Ting Chen:
A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems. Intelligent Vehicles Symposium 2018: 1800-1806 - [i4]Ahmed Taha, Moustafa Meshry, Xitong Yang, Yi-Ting Chen, Larry Davis:
Two Stream Self-Supervised Learning for Action Recognition. CoRR abs/1806.07383 (2018) - [i3]Athma Narayanan, Yi-Ting Chen, Srikanth Malla:
Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection. CoRR abs/1807.00864 (2018) - [i2]Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko:
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. CoRR abs/1811.02307 (2018) - [i1]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. CoRR abs/1811.07391 (2018) - 2017
- [c6]Yan Lu, Jiawei Huang, Yi-Ting Chen, Bernd Heisele:
Monocular localization in urban environments using road markings. Intelligent Vehicles Symposium 2017: 468-474 - 2016
- [c5]Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang:
Learning to tell brake lights with convolutional features. ITSC 2016: 1558-1563 - 2015
- [c4]Altyngul Jumabayeva, Yi-Ting Chen, Tal Frank, Robert Ulichney, Jan P. Allebach:
Design of irregular screen sets that generate maximally smooth halftone patterns. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2015: 93950K - [c3]Yi-Ting Chen, Xiaokai Liu, Ming-Hsuan Yang:
Multi-instance object segmentation with occlusion handling. CVPR 2015: 3470-3478 - [c2]Yi-Ting Chen, Jimei Yang, Ming-Hsuan Yang:
Extracting Image Regions by Structured Edge Prediction. WACV 2015: 1060-1067 - 2013
- [c1]Yi-Ting Chen, Di-Yuan Tzeng, Terry Nelson, Mark Q. Shaw, Jan P. Allebach:
Segmentation for better rendering of mixed-content pages. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2013: 865209
Coauthor Index
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