Analysis of facial features of drivers under cognitive and visual distractions. - Nanxiang Li; Carlos Busso (ICME, 2013)

Evaluating the robustness of an appearance-based gaze estimation method for multimodal interfaces. - Nanxiang Li; Carlos Busso (ICMI, 2013)

Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors. - Nanxiang Li; Jinesh J. Jain; Carlos Busso (IEEE Trans. Multim., 2013)

Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions. - Nanxiang Li; Carlos Busso (Smart Mobile In-Vehicle Systems, 2014)

Appearance based user-independent gaze estimation. - Nanxiang Li (ICMI, 2014)

User Independent Gaze Estimation by Exploiting Similarity Measures in the Eye Pair Appearance Eigenspace. - Nanxiang Li; Carlos Busso (ICMI, 2014)

Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features. - Nanxiang Li; Carlos Busso (IEEE Trans. Intell. Transp. Syst., 2015)

Driving maneuver prediction using car sensor and driver physiological signals. - Nanxiang Li; Teruhisa Misu; Ashish Tawari; Alexandre Miranda Añon; Chihiro Suga; Kikuo Fujimura (ICMI, 2016)

Driver behavior event detection for manual annotation by clustering of the driver physiological signals. - Nanxiang Li; Teruhisa Misu; Alexandre Miranda Añon (ITSC, 2016)

Look at Me: Augmented Reality Pedestrian Warning System Using an In-Vehicle Volumetric Head Up Display. - Hyungil Kim; Alexandre Miranda Añon; Teruhisa Misu; Nanxiang Li; Ashish Tawari; Kikuo Fujimura (IUI, 2016)

Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition. - Nanxiang Li; Carlos Busso (IEEE Trans. Intell. Transp. Syst., 2016)

Understand driver awareness through brake behavior analysis: Reactive versus intended hard brake. - Nanxiang Li; Teruhisa Misu; Fei Tao 003 (Intelligent Vehicles Symposium, 2017)

Calibration free, user-independent gaze estimation with tensor analysis. - Nanxiang Li; Carlos Busso (Image Vis. Comput., 2018)

Semantic Consistency: The Key to Improve Traffic Light Detection with Data Augmentation. - Eman T. Hassan; Nanxiang Li; Liu Ren (IV, 2020)

Improve Unsupervised Domain Adaptation with Mixup Training. - Shen Yan; Huan Song; Nanxiang Li; Lincan Zou; Liu Ren (CoRR, 2020)

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. - Liang Gou; Lincan Zou; Nanxiang Li; Michael Hofmann 010; Arvind Kumar Shekar; Axel Wendt; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2021)

Driving in Real Life with Inverse Reinforcement Learning. - Tung Phan-Minh; Forbes Howington; Ting-Sheng Chu; Sang Uk Lee; Momchil S. Tomov; Nanxiang Li; Caglayan Dicle; Samuel Findler; Francisco Suárez-Ruiz; Robert E. Beaudoin; Bo Yang; Sammy Omari; et al. (CoRR, 2022)

Camera Self-Calibration Using Human Faces. - Masa Hu; Garrick Brazil; Nanxiang Li; Liu Ren; Xiaoming Liu 002 (FG, 2023)

DriveIRL: Drive in Real Life with Inverse Reinforcement Learning. - Tung Phan-Minh; Forbes Howington; Ting-Sheng Chu; Momchil S. Tomov; Robert E. Beaudoin; Sang Uk Lee; Nanxiang Li; Caglayan Dicle; Samuel Findler; Francisco Suárez-Ruiz; Bo Yang; Sammy Omari; et al. (ICRA, 2023)

Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving. - Napat Karnchanachari; Dimitris Geromichalos; Kok Seang Tan; Nanxiang Li; Christopher Eriksen; Shakiba Yaghoubi; Noushin Mehdipour; Gianmarco Bernasconi; Whye Kit Fong; Yiluan Guo; Holger Caesar (ICRA, 2024)

AGIAA-2K: A Fine-grained Dataset for Aesthetic and Alignment Evaluation of AI-Generated Images. - Bo Hu 008; Nanxiang Li; Lihuo He; Wen Lu; Leida Li; Xinbo Gao 001 (ICASSP, 2025)