Segmentation for better rendering of mixed-content pages. - Yi-Ting Chen 001; Di-Yuan Tzeng; Terry Nelson; Mark Q. Shaw; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2013)

Design of irregular screen sets that generate maximally smooth halftone patterns. - Altyngul Jumabayeva; Yi-Ting Chen 001; Tal Frank; Robert Ulichney; Jan P. Allebach (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2015)

Multi-instance object segmentation with occlusion handling. - Yi-Ting Chen 001; Xiaokai Liu; Ming-Hsuan Yang 001 (CVPR, 2015)

Extracting Image Regions by Structured Edge Prediction. - Yi-Ting Chen 001; Jimei Yang; Ming-Hsuan Yang 001 (WACV, 2015)

Learning to tell brake lights with convolutional features. - Guangyu Zhong; Yi-Hsuan Tsai; Yi-Ting Chen 001; Xue Mei; Danil V. Prokhorov; Michael James 001; Ming-Hsuan Yang 001 (ITSC, 2016)

Monocular localization in urban environments using road markings. - Yan Lu; Jiawei Huang; Yi-Ting Chen 001; Bernd Heisele (Intelligent Vehicles Symposium, 2017)

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. - Vasili Ramanishka; Yi-Ting Chen 001; Teruhisa Misu; Kate Saenko (CVPR, 2018)

Toward Reasoning of Driving Behavior. - Teruhisa Misu; Yi-Ting Chen 001 (ITSC, 2018)

A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems. - Chien-Yi Wang; Athma Narayanan; Abhishek Patil; Wei Zhan; Yi-Ting Chen 001 (Intelligent Vehicles Symposium, 2018)

Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric. - Wei Zhan; Arnaud de La Fortelle; Yi-Ting Chen 001; Ching-Yao Chan; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2018)

Two Stream Self-Supervised Learning for Action Recognition. - Ahmed Taha 001; Moustafa Meshry; Xitong Yang; Yi-Ting Chen 001; Larry Davis 001 (CoRR, 2018)

Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection. - Athma Narayanan; Yi-Ting Chen 001; Srikanth Malla (CoRR, 2018)

Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. - Jinkyu Kim 001; Teruhisa Misu; Yi-Ting Chen 001; Ashish Tawari; John F. Canny (CVPR, 2019)

Temporal Recurrent Networks for Online Action Detection. - Mingze Xu; Mingfei Gao; Yi-Ting Chen 001; Larry Davis 001; David J. Crandall (ICCV, 2019)

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. - Abhishek Patil; Srikanth Malla; Haiming Gang; Yi-Ting Chen 001 (ICRA, 2019)

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems. - Ahmed Taha 001; Yi-Ting Chen 001; Xitong Yang; Teruhisa Misu; Larry Davis 001 (CoRR, 2019)

In Defense of the Triplet Loss for Visual Recognition. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Larry Davis 001 (CoRR, 2019)

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (CoRR, 2019)

Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. - Nakul Agarwal; Yi-Ting Chen 001; Behzad Dariush; Ming-Hsuan Yang 001 (BMVC, 2020)

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. - Chengxi Li 006; Yue Meng; Stanley H. Chan; Yi-Ting Chen 001 (ICRA, 2020)

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (IROS, 2020)

Uncertainty-aware Self-supervised 3D Data Association. - Jianren Wang; Siddharth Ancha; Yi-Ting Chen 001; David Held (IROS, 2020)

Boosting Standard Classification Architectures Through a Ranking Regularizer. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (WACV, 2020)

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. - Jianren Wang; Haiming Gang; Siddarth Ancha; Yi-Ting Chen 001; David Held (3DV, 2021)

Bird's Eye View Segmentation Using Lifted 2D Semantic Features. - Isht Dwivedi; Srikanth Malla; Yi-Ting Chen 001; Behzad Dariush (BMVC, 2021)

Fusing Multi-Modality Information for 3D Road Obstacle Detection. - Yu-Quan Wang; Yi-Ting Chen 001; Man-Lin Wu; Ching-Hsiang Ko; Hao-Wei Hwang; Yung-Yao Chen (ISPACS, 2021)

Driver-centric Risk Object Identification. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (CoRR, 2021)

Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding. - Nakul Agarwal; Yi-Ting Chen 001 (ICCV, 2023)

Content Estimation Through Tactile Interactions with Deformable Containers. - Yu-En Liu; Chun-Yu Chai; Yi-Ting Chen 001; Shiao-Li Tsao (IROS, 2023)

CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping. - Srikanth Malla; Yi-Ting Chen 001 (CoRR, 2023)

DROID: Driver-Centric Risk Object Identification. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Action-Slot: Visual Action-Centric Representations for Multi-Label Atomic Activity Recognition in Traffic Scenes. - Chi-Hsi Kung; Shu-Wei Lu; Yi-Hsuan Tsai; Yi-Ting Chen 001 (CVPR, 2024)

RiskBench: A Scenario-based Benchmark for Risk Identification. - Chi-Hsi Kung; Chieh-Chi Yang; Pang-Yuan Pao; Shu-Wei Lu; Pin-Lun Chen; Hsin-Cheng Lu; Yi-Ting Chen 001 (ICRA, 2024)

Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification. - Pang-Yuan Pao; Shu-Wei Lu; Ze-Yan Lu; Yi-Ting Chen 001 (CoRR, 2024)

Reliability Engineering in a Time of Rapidly Converging Technologies. - Shiuhpyng Winston Shieh; Jeffrey M. Voas; Phil Laplante; Jason W. Rupe; Christian K. Hansen; Yu-Sung Wu; Yi-Ting Chen 001; Chi-Yu Li 001; Kai-Chiang Wu (IEEE Trans. Reliab., 2024)

Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting. - Shu-Wei Lu; Yi-Hsuan Tsai; Yi-Ting Chen 001 (CVPR, 2025)

What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. - Chi-Hsi Kung; Frangil Ramirez; Juhyung Ha; Yi-Ting Chen 001; David Crandall; Yi-Hsuan Tsai (CoRR, 2025)

EgoVIS@CVPR: What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. - Chi-Hsi Kung; Frangil Ramirez; Juhyung Ha; Yi-Ting Chen 001; David Crandall; Yi-Hsuan Tsai (CoRR, 2025)