Spatial and Spectral Unmixing Using the Beta Compositional Model. - Xiaoxiao Du 001; Alina Zare; Paul D. Gader; Dmitri Dranishnikov (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Multiple Instance Choquet integral for classifier fusion. - Xiaoxiao Du 001; Alina Zare; James M. Keller; Derek T. Anderson (CEC, 2016)

Efficient Binary Fuzzy Measure Representation and Choquet Integral Learning. - Muhammad Aminul Islam; Derek T. Anderson; Xiaoxiao Du 001; Timothy C. Havens; Christian Wagner 002 (IPMU (1), 2018)

Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty. - Xiaoxiao Du 001; Alina Zare (CoRR, 2018)

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (CoRR, 2018)

Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. - Cyrus Anderson; Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IROS, 2019)

Multiple Instance Choquet Integral with Binary Fuzzy Measures for Remote Sensing Classifier Fusion with Imprecise Labels. - Xiaoxiao Du 001; Alina Zare; Derek T. Anderson (SSCI, 2019)

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2019)

Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing Applications. - Xiaoxiao Du 001; Alina Zare (IEEE Trans. Geosci. Remote. Sens., 2019)

Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images. - Fan Bu; Trinh Le; Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2020)

Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception. - Xiaoxiao Du 001; Ram Vasudevan; Matthew Johnson-Roberson (IEEE Robotics Autom. Mag., 2020)

Multiresolution Multimodal Sensor Fusion for Remote Sensing Data With Label Uncertainty. - Xiaoxiao Du 001; Alina Zare (IEEE Trans. Geosci. Remote. Sens., 2020)

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. - Yu Yao 006; Ella M. Atkins; Matthew Johnson-Roberson; Ram Vasudevan; Xiaoxiao Du 001 (IJCAI, 2021)

Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection. - Asiegbu Miracle Kanu-Asiegbu; Ram Vasudevan; Xiaoxiao Du 001 (SSCI, 2021)

BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. - Yu Yao 006; Ella M. Atkins; Matthew Johnson-Roberson; Ram Vasudevan; Xiaoxiao Du 001 (IEEE Robotics Autom. Lett., 2021)

BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection. - Asiegbu Miracle Kanu-Asiegbu; Ram Vasudevan; Xiaoxiao Du 001 (CoRR, 2022)

Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty. - Hersh Vakharia; Xiaoxiao Du 001 (IGARSS, 2023)

Bi-Capacity Choquet Integral for Sensor Fusion with Label Uncertainty. - Hersh Vakharia; Xiaoxiao Du 001 (FUZZ, 2024)

MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection. - Xiangbo Gao; Asiegbu Miracle Kanu-Asiegbu; Xiaoxiao Du 001 (ITSC, 2024)