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One of the fundamental goals of visual perception is to allow agents to meaningfully interact with their environment.
Automatic grasp planning using shape primitives
Andrew T Miller, Steffen Knoop, Henrik I Christensen, and Peter K Allen · 2003
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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An object-dependent hand pose prior from sparse training data
Henning Hamer, Juergen Gall, Thibaut Weise, and Luc Van Gool · 2010
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Evaluation of 3d interest point detection techniques via human-generated ground truth
Helin Dutagaci, Chun Pan Cheung, and Afzal Godil · 2012
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People watching: Human actions as a cue for single-view geometry
David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, and Josef Sivic · 2012
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Shape2pose: Human-centric shape analysis
Vladimir G Kim, Siddhartha Chaudhuri, Leonidas Guibas, and Thomas Funkhouser · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Semantically-enriched 3d models for common-sense knowledge
Manolis Savva, Angel X Chang, and Pat Hanrahan · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
Jeffrey Mahler, Florian T Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James Kuffner, and Ken Goldberg · 2016
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Volumetric hierarchical approximate convex decomposition
Khaled Mamou, E Lengyel, and AK Peters · 2016
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Lerrel Pinto and Abhinav Gupta · 2016
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Learning to predict part mobility from a single static snapshot
Ruizhen Hu, Wenchao Li, Oliver Van Kaick, Ariel Shamir, Hao Zhang, and Hui Huang · 2017
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Learning to push by grasping: Using multiple tasks for effective learning
Lerrel Pinto and Abhinav Gupta · 2017
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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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Cross-modal attribute transfer for rescaling 3d models
Lin Shao, Angel X Chang, Hao Su, Manolis Savva, and Leonidas Guibas · 2017
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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2017
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Pcpnet learning local shape properties from raw point clouds
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov, and Niloy J Mitra · 2018
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Functionality representations and applications for shape analysis
Ruizhen Hu, Manolis Savva, and Oliver van Kaick · 2018
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Learning material-aware local descriptors for 3d shapes
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir Kim, Siddhartha Chaudhuri, and Kavita Bala · 2018
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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 · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Learning canonical shape space for category-level 6d object pose and size estimation
Dengsheng Chen, Jun Li, Zheng Wang, and Kai Xu · 2020
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Predictive and generative neural networks for object functionality
Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver Van Kaick, Ariel Shamir, Hao Zhang, and Hui Huang · 2020
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Screwnet: Category-independent articulation model estimation from depth images using screw theory
Ajinkya Jain, Rudolf Lioutikov, and Scott Niekum · 2020
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Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, and Jitendra Malik · 2018
Cited alongside, same era.
Implicit 3d orientation learning for 6d object detection from rgb images
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, and Rudolph Triebel · 2018
Cited alongside, same era.
Deep object pose estimation for semantic robotic grasping of household objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, and Stan Birchfield · 2018
Cited alongside, same era.
Pointnet++ pytorch
Erik Wijmans · 2018
Cited alongside, same era.
Deep part induction from articulated object pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas · 2018
Cited alongside, same era.
Learning synergies between pushing and grasping with self-supervised deep reinforcement learning
Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser · 2018
Cited alongside, same era.
https://www.amazon.in/SmartBuy-Collection-Selleck-Prescription-Eyeglass/dp/B083QS7N9R, https://davidbaptistechirot.blogspot.com/2019/01/washing-machine-hd-png-images.html, http://www.allwhitebackground.com/storage-cabinets.html/download/142, https://www.colourbox.com/image/empty-aluminium-bucket-over-the-white-background-image-1709799
More real images · 2019
Cited alongside, same era.
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Action image representation: Learning scalable deep grasping policies with zero real world data
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, and Mrinal Kalakrishnan · 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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Learning about objects by learning to interact with them
Martin Lohmann, Jordi Salvador, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2020
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6-dof grasping for target-driven object manipulation in clutter
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, and Dieter Fox · 2020
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Learning affordance landscapes for interaction exploration in 3d environments
Tushar Nagarajan and Kristen Grauman · 2020
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Black decker stainless steel toaster 4 slice
Google Research · 2020
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Garden swing
Google Research · 2020
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Rj rabbit easter basket blue
Google Research · 2020
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Victor reversible bookend
Google Research · 2020
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Sapien: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, et al · 2020
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Motion annotation programs: A scalable approach to annotating kinematic articulations in large 3d shape collections
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir Kim, Siddhartha Chaudhuri, Manolis Savva, Angel Chang, and Daniel Ritchie · 2020
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Segmentation models pytorch
Pavel Yakubovskiy · 2020
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Keypointnet: A large-scale 3d keypoint dataset aggregated from numerous human annotations
Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, and Weiming Wang · 2020
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