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Object-Centric Representation Learning with Generative Spatial-Temporal Factorization

Published in Advances in Neural Information Processing Systems (NeurIPS 2021), 2021

Disentalngling object-centric representations from a video.

Recommended citation: Li, Nanbo, Muhammad Ahmed Raza, Wenbin Hu, Zhaole Sun, and Robert Fisher. "Object-centric representation learning with generative spatial-temporal factorization." Advances in Neural Information Processing Systems 34 (2021): 10772-10783. https://proceedings.neurips.cc/paper/2021/hash/593906af0d138e69f49d251d3e7cbed0-Abstract.html

A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction

Published in IEEE Robotics and Automation Letters, 2023

Detect cable-like objects in 3D from a RGBD image with occulusions.

Recommended citation: Zhaole, Sun, Hang Zhou, Li Nanbo, Longfei Chen, Jihong Zhu, and Robert B. Fisher. "A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction." IEEE Robotics and Automation Letters 9, no. 1 (2023): 843-850. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10333979

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