A stream field based partially observable moving object tracking algorithm. - Kuo-Shih Tseng (ICARCV, 2008)

Self-Localization and Stream Field Based Partially Observable Moving Object Tracking. - Kuo-Shih Tseng; Angela Chih-Wei Tang (EURASIP J. Adv. Signal Process., 2009)

Goal-oriented and map-based people tracking using virtual force field. - Kuo-Shih Tseng; Angela Chih-Wei Tang (IROS, 2010)

A Motion Tracking and Sensor Fusion Module for Medical Simulation. - Yunhe Shen; Fan Wu; Kuo-Shih Tseng; Ding Ye; John Raymond; Badrinath Konety; Robert M. Sweet (MMVR, 2016)

Near-optimal probabilistic search via submodularity and sparse regression. - Kuo-Shih Tseng; Bérénice Mettler (Auton. Robots, 2017)

Near-optimal probabilistic search using spatial Fourier sparse set. - Kuo-Shih Tseng; Bérénice Mettler (Auton. Robots, 2018)

Spatial Search via Adaptive Submodularity and Deep Learning. - Yu-Chung Tsai; Bing-Xian Lu; Kuo-Shih Tseng (SSRR, 2019)

A Novel Telerobotic Search System using an Unmanned Aerial Vehicle. - Bing-Xian Lu; Ji-Jie Wu; Yu-Chung Tsai; Wan-Ting Jiang; Kuo-Shih Tseng (IRC, 2020)

Learning Spatial Search using Submodular Inverse Reinforcement Learning. - Ji-Jie Wu; Kuo-Shih Tseng (SSRR, 2020)

Analysis and Augmentation of Human Performance on Telerobotic Search Problems. - Kuo-Shih Tseng; Bérénice Mettler (IEEE Access, 2020)

Deep Compressed Sensing for Learning Submodular Functions. - Yu-Chung Tsai; Kuo-Shih Tseng (Sensors, 2020)

Transfer learning of coverage functions via invariant properties in the fourier domain. - Kuo-Shih Tseng (Auton. Robots, 2021)

Localizing Complex Terrains through Adaptive Submodularity. - Hsuan-Chi Chang; Kuo-Shih Tseng (SSRR, 2022)

Adaptive submodular inverse reinforcement learning for spatial search and map exploration. - Ji-Jie Wu; Kuo-Shih Tseng (Auton. Robots, 2022)

3D Map Exploration Using Topological Fourier Sparse Set. - Bing-Xian Lu; Kuo-Shih Tseng (J. Intell. Robotic Syst., 2022)

People search via deep compressed sensing techniques. - Bing-Xian Lu; Yu-Chung Tsai; Kuo-Shih Tseng (Robotica, 2022)

Correction to: Adaptive submodular inverse reinforcement learning for spatial search and map exploration. - Ji-Jie Wu; Kuo-Shih Tseng (Auton. Robots, 2023)

Improvement of Submodular Maximization Problems With Routing Constraints via Submodularity and Fourier Sparsity. - Pao-Te Lin; Kuo-Shih Tseng (IEEE Robotics Autom. Lett., 2023)

Computation-Aware Multi-object Search in 3D Space using Submodular Tree. - Yan-Shuo Li; Kuo-Shih Tseng (ICRA, 2024)

Multi-robot Search in a 3D Environment with Intersection System Constraints. - Yan-Shuo Li; Kuo-Shih Tseng (ICRA, 2024)

Maximal coverage problems with routing constraints using cross-entropy Monte Carlo tree search. - Pao-Te Lin; Kuo-Shih Tseng (Auton. Robots, 2024)

GRVINS: Tightly Coupled GNSS-Range-Visual-Inertial System. - Bing-Xian Lu; Yu-Chung Tsai; Kuo-Shih Tseng (J. Intell. Robotic Syst., 2024)

Map Explorations via Dynamic Tree Structured Graph. - Rei-Shu Shieh; Kuo-Shih Tseng (IEEE Robotics Autom. Lett., 2024)