Effective car video retrieval using feature matching in a mobile video cloud. - Kuan-Hui Lee; Jenq-Neng Hwang; Jang-Hee Yoo; Kyoung-Ho Choi (ICDSC, 2012)

Packet lost-aware handoff in heterogeneous wireless networks. - Tein-Yaw David Chung; Kuan-Hui Lee (ICUFN, 2012)

Self-organized and scalable camera networks for systematic human tracking across nonoverlapping cameras. - Chun-Te Chu; Kuan-Hui Lee; Jenq-Neng Hwang (ICASSP, 2013)

Multiple-kernel based vehicle tracking using 3-D deformable model and license plate self-similarity. - Kuan-Hui Lee; Yong-Jin Lee; Jenq-Neng Hwang (ICASSP, 2013)

Vehicle tracking iterative by Kalman-based constrained multiple-kernel and 3-D model-based localization. - Kuan-Hui Lee; Jenq-Neng Hwang; Jen-Yu Yu; Kual-Zheng Lee (ISCAS, 2013)

An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision. - Kuan-Hui Lee; Pau-Choo Chung (J. Vis. Commun. Image Represent., 2013)

Driving recorder based on-road pedestrian tracking using visual SLAM and Constrained Multiple-Kernel. - Kuan-Hui Lee; Jenq-Neng Hwang; Greg Okopal; James W. Pitton (ITSC, 2014)

Deformable multiple-kernel based human tracking using a moving camera. - Li Hou; Wanggen Wan; Kuan-Hui Lee; Jenq-Neng Hwang; Greg Okopal; James W. Pitton (ICASSP, 2015)

Quality-of-content (QoC)-driven rate allocation for video analysis in mobile surveillance networks. - Xiang Chen 003; Jenq-Neng Hwang; Kuan-Hui Lee; Ricardo L. de Queiroz (MMSP, 2015)

Model-Based Vehicle Localization Based on 3-D Constrained Multiple-Kernel Tracking. - Kuan-Hui Lee; Jenq-Neng Hwang; Shih-I Chen (IEEE Trans. Circuits Syst. Video Technol., 2015)

On-Road Pedestrian Tracking Across Multiple Driving Recorders. - Kuan-Hui Lee; Jenq-Neng Hwang (IEEE Trans. Multim., 2015)

Camera self-calibration from tracking of moving persons. - Zheng Tang; Yen-Shuo Lin; Kuan-Hui Lee; Jenq-Neng Hwang; Jen-Hui Chuang; Zhijun Fang (ICPR, 2016)

Smart Car [Application Notes]. - Shih-Chia Huang; Bo-Hao Chen; Sheng-Kai Chou; Jenq-Neng Hwang; Kuan-Hui Lee (IEEE Comput. Intell. Mag., 2016)

Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and Constrained Multiple Kernels. - Kuan-Hui Lee; Jenq-Neng Hwang; Greg Okopal; James W. Pitton (IEEE Trans. Intell. Transp. Syst., 2016)

Learning to tell brake and turn signals in videos using CNN-LSTM structure. - Han-Kai Hsu; Yi-Hsuan Tsai; Xue Mei; Kuan-Hui Lee; Naoki Nagasaka; Danil V. Prokhorov; Ming-Hsuan Yang 001 (ITSC, 2017)

A Quality-of-Content-Based Joint Source and Channel Coding for Human Detections in a Mobile Surveillance Cloud. - Xiang Chen 003; Jenq-Neng Hwang; De Meng; Kuan-Hui Lee; Ricardo L. de Queiroz; Fu-Ming Yeh (IEEE Trans. Circuits Syst. Video Technol., 2017)

Robust Human Tracking Based on DPM Constrained Multiple-Kernel from a Moving Camera. - Li Hou; Wanggen Wan; Kuan-Hui Lee; Jenq-Neng Hwang; Greg Okopal; James W. Pitton (J. Signal Process. Syst., 2017)

Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association. - Kuan-Hui Lee; Yusuke Kanzawa; Matthew Derry; Michael R. James 001 (Intelligent Vehicles Symposium, 2018)

Maxing Out Globally: Individualism, Investor Attention, and the Cross Section of Expected Stock Returns. - Yong-Ho Cheon; Kuan-Hui Lee (Manag. Sci., 2018)

SPIGAN: Privileged Adversarial Learning from Simulation. - Kuan-Hui Lee; Germán Ros; Jie Li 031; Adrien Gaidon (ICLR (Poster), 2019)

An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition. - Kuan-Hui Lee; Takaaki Tagawa; Jia-En M. Pan; Adrien Gaidon; Bertrand Douillard (IV, 2019)

ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans. - Zheng Tang; Yen-Shuo Lin; Kuan-Hui Lee; Jenq-Neng Hwang; Jen-Hui Chuang (IEEE Access, 2019)

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. - Boxiao Pan; Haoye Cai; De-An Huang; Kuan-Hui Lee; Adrien Gaidon; Ehsan Adeli 001; Juan Carlos Niebles (CVPR, 2020)

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. - Karttikeya Mangalam; Harshayu Girase; Shreyas Agarwal; Kuan-Hui Lee; Ehsan Adeli 001; Jitendra Malik; Adrien Gaidon (ECCV (2), 2020)

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. - Kuan-Hui Lee; Matthew Kliemann; Adrien Gaidon; Jie Li 031; Chao Fang; Sudeep Pillai; Wolfram Burgard (IROS, 2020)

Behaviorally Diverse Traffic Simulation via Reinforcement Learning. - Shinya Shiroshita; Shirou Maruyama; Daisuke Nishiyama; Mario Ynocente Castro; Karim Hamzaoui; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (IROS, 2020)

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. - Daisuke Nishiyama; Mario Ynocente Castro; Shirou Maruyama; Shinya Shiroshita; Karim Hamzaoui; Yi Ouyang; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (ITSC, 2020)

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. - Karttikeya Mangalam; Ehsan Adeli 001; Kuan-Hui Lee; Adrien Gaidon; Juan Carlos Niebles (WACV, 2020)

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. - Bingbin Liu; Ehsan Adeli 001; Zhangjie Cao; Kuan-Hui Lee; Abhijeet Shenoi; Adrien Gaidon; Juan Carlos Niebles (IEEE Robotics Autom. Lett., 2020)

CoCon: Cooperative-Contrastive Learning. - Nishant Rai; Ehsan Adeli 001; Kuan-Hui Lee; Adrien Gaidon; Juan Carlos Niebles (CVPR Workshops, 2021)

An Interaction-aware Evaluation Method for Highly Automated Vehicles. - Xinpeng Wang 002; Huei Peng; Songan Zhang; Kuan-Hui Lee (ITSC, 2021)

S2Net: Stochastic Sequential Pointcloud Forecasting. - Xinshuo Weng; Junyu Nan; Kuan-Hui Lee; Rowan McAllister; Adrien Gaidon; Nicholas Rhinehart; Kris M. Kitani (ECCV (27), 2022)

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. - Boris Ivanovic; Kuan-Hui Lee; Pavel Tokmakov; Blake Wulfe; Rowan McAllister; Adrien Gaidon; Marco Pavone 001 (IROS, 2022)

Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. - Vitor Guizilini; Kuan-Hui Lee; Rares Ambrus; Adrien Gaidon (IEEE Robotics Autom. Lett., 2022)

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. - Mengdi Xu; Peide Huang; Yaru Niu; Visak Kumar; Jielin Qiu; Chao Fang; Kuan-Hui Lee; Xuewei Qi; Henry Lam; Bo Li 026; Ding Zhao (AISTATS, 2023)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)