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Humans can easily understand a single image as depicting multiple potential objects permitting interaction.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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A probabilistic framework for learning kinematic models of articulated objects
Jürgen Sturm, Cyrill Stachniss, and Wolfram Burgard · 2011
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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Learning articulated motions from visual demonstration
Sudeep Pillai, Matthew R Walter, and Seth Teller · 2014
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Hico: A benchmark for recognizing human-object interactions in images
Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, and Jia Deng · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 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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Designing deep networks for surface normal estimation
Xiaolong Wang, David F. Fouhey, and Abhinav Gupta · 2015
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3D-R2N2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Probabilistic articulated real-time tracking for robot manipulation
Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, and Jeannette Bohg · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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What do different evaluation metrics tell us about saliency models?
Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, and Frédo Durand · 2018
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Demo2vec: Reasoning object affordances from online videos
Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, and Joseph J Lim · 2018
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Detecting and recognizing human-object interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollar, and Kaiming He · 2018
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids
Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B Tenenbaum, and Antonio Torralba · 2018
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Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
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Planenet: Piece-wise planar reconstruction from a single rgb image
Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, and Yasutaka Furukawa · 2018
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Taskonomy: Disentangling task transfer learning
Amir R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese · 2018
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Learning single-image depth from videos using quality assessment networks
Weifeng Chen, Shengyi Qian, and Jia Deng · 2019
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Occlusion-robust deformable object tracking without physics simulation
Cheng Chi and Dmitry Berenson · 2019
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Factored pose estimation of articulated objects using efficient nonparametric belief propagation
Karthik Desingh, Shiyang Lu, Anthony Opipari, and Odest Chadwicke Jenkins · 2019
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Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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Panoptic segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
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PlaneRCNN: 3D plane detection and reconstruction from a single image
Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, and Jan Kautz · 2019
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Tracking partially-occluded deformable objects while enforcing geometric constraints
Yixuan Wang, Dale McConachie, and Dmitry Berenson · 2021
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Anchor detr: Query design for transformer-based object detection
Yingming Wang, Xiangyu Zhang, Tong Yang, and Jian Sun · 2021
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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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Learning to recover 3d scene shape from a single image
Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, and Chunhua Shen · 2021
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Deep hough transform for semantic line detection
Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, and Ming-Ming Cheng · 2021
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Grounded human-object interaction hotspots from video
Tushar Nagarajan, Christoph Feichtenhofer, and Kristen Grauman · 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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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Pointrend: Image segmentation as rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 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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Human-to-robot imitation in the wild
Shikhar Bahl, Abhinav Gupta, and Deepak Pathak · 2022
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Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2022
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Human hands as probes for interactive object understanding
Mohit Goyal, Sahil Modi, Rishabh Goyal, and Saurabh Gupta · 2022
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Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang, Angel X Chang, and Manolis Savva · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Opd: Single-view 3d openable part detection
Hanxiao Jiang, Yongsen Mao, Manolis Savva, and Angel X Chang · 2022
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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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Learning affordance grounding from exocentric images
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, and Dacheng Tao · 2022
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Neural shape compiler: A unified framework for transforming between text, point cloud, and program
Tiange Luo, Honglak Lee, and Justin Johnson · 2022
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Understanding 3d object articulation in internet videos
Shengyi Qian, Linyi Jin, Chris Rockwell, Siyi Chen, and David F. Fouhey · 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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Self-supervised neural articulated shape and appearance models
Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard Newcombe, and Mira Slavcheva · 2022
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Dextairity: Deformable manipulation can be a breeze
Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, and Shuran Song · 2022
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Touch and go: Learning from human-collected vision and touch
Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, and Andrew Owens · 2022
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Omni3d: A large benchmark and model for 3d object detection in the wild
Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, and Georgia Gkioxari · 2023
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Predicting motion plans for articulating everyday objects
Arjun Gupta, Max E Shepherd, and Saurabh Gupta · 2023
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Ditto in the house: Building articulation models of indoor scenes through interactive perception
Cheng-Chun Hsu, Zhenyu Jiang, and Yuke Zhu · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Locate: Localize and transfer object parts for weakly supervised affordance grounding
Gen Li, Varun Jampani, Deqing Sun, and Laura Sevilla-Lara · 2023
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Opdmulti: Openable part detection for multiple objects
Xiaohao Sun, Hanxiao Jiang, Manolis Savva, and Angel Xuan Chang · 2023
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