Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs

1 code implementation • 7 Mar 2024 • Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen

Deep learning methods for perception are the cornerstone of many robotic systems.

Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects

1 code implementation • 31 Jul 2023 • Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb

Dense packing in pick-and-place systems is an important feature in many warehouse and logistics applications.

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

no code implementations • 13 Oct 2022 • Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

3D bounding boxes are a widespread intermediate representation in many computer vision applications.

Embodied Language Grounding with 3D Visual Feature Representations

1 code implementation • CVPR 2020 • Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki

We propose associating language utterances to 3D visual abstractions of the scene they describe.

Object Detection

Graph-Structured Visual Imitation

no code implementations • 11 Jul 2019 • Maximilian Sieb, Zhou Xian, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki

We cast visual imitation as a visual correspondence problem.

Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems

1 code implementation • 29 May 2018 • Maximilian Sieb, Matthias Schultheis, Sebastian Szelag, Rudolf Lioutikov, Jan Peters

Using movement primitive libraries is an effective means to enable robots to solve more complex tasks.

Segmentation