Yi-Ting Chen

Affiliations:

National Yang Ming Chiao Tung University, Taiwan

According to our database¹, Yi-Ting Chen authored at least 32 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

RiskBench: A Scenario-based Benchmark for Risk Identification.

[BibT_eX]

[DOI]

CoRR, 2023

Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes.

[BibT_eX]

[DOI]

CoRR, 2023

CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping.

[BibT_eX]

[DOI]

Srikanth Malla

Yi-Ting Chen

CoRR, 2023

Content Estimation Through Tactile Interactions with Deformable Containers.

[BibT_eX]

[DOI]

IROS, 2023

Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding.

[BibT_eX]

[DOI]

Nakul Agarwal

Yi-Ting Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Driver-centric Risk Object Identification.

[BibT_eX]

[DOI]

Chengxi Li

Stanley H. Chan

Yi-Ting Chen

CoRR, 2021

Fusing Multi-Modality Information for 3D Road Obstacle Detection.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2021

Bird's Eye View Segmentation Using Lifted 2D Semantic Features.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

Boosting Standard Classification Architectures Through a Ranking Regularizer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Uncertainty-aware Self-supervised 3D Data Association.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference.

[BibT_eX]

[DOI]

Chengxi Li

Stanley H. Chan

Yi-Ting Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Unsupervised Domain Adaptation for Spatio-Temporal Action Localization.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems.

[BibT_eX]

[DOI]

CoRR, 2019

In Defense of the Triplet Loss for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems.

[BibT_eX]

[DOI]

CoRR, 2019

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Temporal Recurrent Networks for Online Action Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Grounding Human-To-Vehicle Advice for Self-Driving Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection.

[BibT_eX]

[DOI]

Athma Narayanan

Yi-Ting Chen

Srikanth Malla

CoRR, 2018

Two Stream Self-Supervised Learning for Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2018

Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric.

[BibT_eX]

[DOI]

Wei Zhan

Arnaud de La Fortelle

Yi-Ting Chen

Ching-Yao Chan

Masayoshi Tomizuka

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Toward Reasoning of Driving Behavior.

[BibT_eX]

[DOI]

Teruhisa Misu

Yi-Ting Chen

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Monocular localization in urban environments using road markings.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

Learning to tell brake lights with convolutional features.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Extracting Image Regions by Structured Edge Prediction.

[BibT_eX]

[DOI]

Yi-Ting Chen

Jimei Yang

Ming-Hsuan Yang

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Multi-instance object segmentation with occlusion handling.

[BibT_eX]

[DOI]

Yi-Ting Chen

Xiaokai Liu

Ming-Hsuan Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Design of irregular screen sets that generate maximally smooth halftone patterns.

[BibT_eX]

[DOI]

Proceedings of the Color Imaging XX: Displaying, 2015

2013

Segmentation for better rendering of mixed-content pages.

[BibT_eX]

[DOI]

Proceedings of the Color Imaging XVIII: Displaying, 2013

Yi-Ting Chen

Timeline

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