Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs. - Hao Xiong; Yangxiao Lu; Nicholas Ruozzi (NeurIPS, 2022)

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. - Yangxiao Lu; Ninad A. Khargonkar; Zesheng Xu; Charles Averill; Kamalesh Palanisamy; Kaiyu Hang; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (Robotics: Science and Systems, 2023)

SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Reproducible Scenes. - Ninad Khargonkar; Sai Haneesh Allu; Yangxiao Lu; Jishnu Jaykumar P; Balakrishnan Prabhakaran 001; Yu Xiang 001 (CoRR, 2023)

SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes. - Ninad Khargonkar; Sai Haneesh Allu; Yangxiao Lu; Jishnu Jaykumar P; Balakrishnan Prabhakaran 001; Yu Xiang 001 (ICRA, 2024)

Mean Shift Mask Transformer for Unseen Object Instance Segmentation. - Yangxiao Lu; Yuqiao Chen; Nicholas Ruozzi; Yu Xiang 001 (ICRA, 2024)

RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features. - Howard H. Qian; Yangxiao Lu; Kejia Ren; Gaotian Wang; Ninad Khargonkar; Yu Xiang 001; Kaiyu Hang (ICRA, 2024)

Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. - Yangxiao Lu; Jishnu Jaykumar P; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2024)

Multimodal Reference Visual Grounding. - Yangxiao Lu; Ruosen Li; Liqiang Jing; Jikai Wang; Xinya Du; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2025)