M3T: Multi-class Multi-instance Multi-view Object Tracking for Embodied AI Tasks. - Mariia Khan; Jumana M. Abu-Khalaf; David Suter; Bodo Rosenhahn (IVCNZ, 2022)

The STVchrono Dataset: Towards Continuous Change Recognition in Time. - Yanjun Sun; Yue Qiu 001; Mariia Khan; Fumiya Matsuzawa; Kenji Iwata (CVPR, 2024)

Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation. - Mariia Khan; Yue Qiu 001; Yuren Cong; Bodo Rosenhahn; Jumana Abu-Khalaf; David Suter (ICIP, 2024)

Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change. - Mariia Khan; Yue Qiu 001; Yuren Cong; Bodo Rosenhahn; David Suter; Jumana Abu-Khalaf (IROS, 2024)

PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding. - Mariia Khan; Yue Qiu 001; Yuren Cong; Jumana Abu-Khalaf; David Suter; Bodo Rosenhahn (IEEE Access, 2025)