Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation. - Maximilian Sieb; Katerina Fragkiadaki (Humanoids, 2018)

Graph-Structured Visual Imitation. - Maximilian Sieb; Xian Zhou; Audrey Huang; Oliver Kroemer; Katerina Fragkiadaki (CoRL, 2019)

Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CoRR, 2019)

Embodied Language Grounding With 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CVPR, 2020)

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. - Yuxuan Liu 001; Nikhil Mishra; Maximilian Sieb; Yide Shentu; Pieter Abbeel; Xi Chen 022 (ECCV (10), 2022)

Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. - Nikhil Mishra; Pieter Abbeel; Xi Chen 022; Maximilian Sieb (IROS, 2023)

Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. - Nikhil Mishra; Maximilian Sieb; Pieter Abbeel; Xi Chen 022 (ICRA, 2024)