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Precise perception of articulated objects is vital for empowering service robots.
Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Mujoco: A physics engine for model-based control
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Shapenet: An information-rich 3d model repository
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A dataset for developing and benchmarking active vision
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
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Deep part induction from articulated object pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas · 2018
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Learning to generalize kinematic models to novel objects
Ben Abbatematteo, Stefanie Tellex, and George Konidaris · 2019
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4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Active object detection with multistep action prediction using deep q-network
Xiaoning Han, Huaping Liu, Fuchun Sun, and Xinyu Zhang · 2019
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PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, and Hao Su · 2019
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Mvx-net: Multimodal voxelnet for 3d object detection
Vishwanath A Sindagi, Yin Zhou, and Oncel Tuzel · 2019
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Shape2motion: Joint analysis of motion parts and attributes from 3d shapes
Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, and Kai Xu · 2019
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Epnet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and Xiang Bai · 2020
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Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song · 2020
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SAPIEN: A simulated part-based interactive environment
Motion representations for articulated animation
Aliaksandr Siarohin, Oliver J Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
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Habitat 2.0: Training home assistants to rearrange their habitat
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Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, and Hao Dong · 2021
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Lasr: Learning articulated shape reconstruction from a monocular video
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T Freeman, and Ce Liu · 2021
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Visual identification of articulated object parts
Vicky Zeng, Tabitha Edith Lee, Jacky Liang, and Oliver Kroemer · 2021
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Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
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Rpm-net: recurrent prediction of motion and parts from point cloud
Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver Van Kaick, Hao Zhang, and Hui Huang · 2020
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Neural deformation graphs for globally-consistent non-rigid reconstruction
Aljaz Bozic, Pablo Palafox, Michael Zollhofer, Justus Thies, Angela Dai, and Matthias Nießner · 2021
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Screwnet: Category-independent articulation model estimation from depth images using screw theory
Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, and Scott Niekum · 2021
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Learning camera performance models for active multi-camera visual teach and repeat
Matias Mattamala, Milad Ramezani, Marco Camurri, and Maurice Fallon · 2021
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Where2act: From pixels to actions for articulated 3d objects
Kaichun Mo, Leonidas J Guibas, Mustafa Mukadam, Abhinav Gupta, and Shubham Tulsiani · 2021
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4d-net for learned multi-modal alignment
AJ Piergiovanni, Vincent Casser, Michael S Ryoo, and Anelia Angelova · 2021
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Cross-modality 3d object detection
Ming Zhu, Chao Ma, Pan Ji, and Xiaokang Yang · 2021
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Ditto: Building digital twins of articulated objects from interaction
Zhenyu Jiang, Cheng-Chun Hsu, and Yuke Zhu · 2022
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Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions
Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J Guibas, and Hao Dong · 2022
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Sparse fuse dense: Towards high quality 3d detection with depth completion
Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, and Deng Cai · 2022
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Maff-net: Filter false positive for 3d vehicle detection with multi-modal adaptive feature fusion
Zehan Zhang, Yuxi Shen, Hao Li, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu, and Hui Mao · 2022
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A real 3d embodied dataset for robotic active visual learning
Qianfan Zhao, Lu Zhang, Lingxi Wu, Hong Qiao, and Zhiyong Liu · 2022
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Command-driven articulated object understanding and manipulation
Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, and Jiaya Jia · 2023
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Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
Haoran Geng, Helin Xu, Chengyang Zhao, Chao Xu, Li Yi, Siyuan Huang, and He Wang · 2023
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