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We propose an unsupervised method for detecting and tracking moving objects in 3D, in unlabelled RGB-D videos.
Perceptual knowledge of objects in infancy
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Shape and motion from image streams under orthography: A factorization method
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Perceptual organization in computer vision: A review and a proposal for a classificatory structure
Sudeep Sarkar and Kim L Boyer · 1993
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A saliency-based search mechanism for overt and covert shifts of visual attention
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Text classification from labeled and unlabeled documents using EM
Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, and Tom Mitchell · 2000
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The template update problem
Lain Matthews, Takahiro Ishikawa, and Simon Baker · 2004
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In situ evaluation of tracking algorithms using time reversed chains
Hao Wu, Aswin C Sankaranarayanan, and Rama Chellappa · 2007
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Perceiving objects and scenes: the gestalt approach to object perception
E Bruce Goldstein · 2009
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Recurrent tracking using multifold consistency
Pan Pan, Fatih Porikli, and Dan Schonfeld · 2009
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What is an object?
Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari · 2010
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Object segmentation by long term analysis of point trajectories
Thomas Brox and Jitendra Malik · 2010
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Object segmentation by long term analysis of point trajectories
Thomas Brox and Jitendra Malik · 2010
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Toward an architecture for never-ending language learning
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka, and Tom M. Mitchell · 2010
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Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
Katerina Fragkiadaki and Jianbo Shi · 2011
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Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions
P. Ochs and T. Brox · 2011
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Measuring the objectness of image windows
Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari · 2012
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Video segmentation by tracing discontinuities in a trajectory embedding
Katerina Fragkiadaki, Geng Zhang, and Jianbo Shi · 2012
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NEIL: Extracting visual knowledge from web data
Xinlei Chen, Abhinav Shrivastava, and Abhinav Gupta · 2013
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Real-time 3d reconstruction in dynamic scenes using point-based fusion
Maik Keller, Damien Lefloch, Martin Lambers, Shahram Izadi, Tim Weyrich, and Andreas Kolb · 2013
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Dense visual SLAM for RGB-D cameras
C. Kerl, J. Sturm, and D. Cremers · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Semi-dense visual odometry for AR on a smartphone
T. Schöps, J. Engel, and D. Cremers · 2014
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Learning to segment moving objects in videos
Katerina Fragkiadaki, Pablo Arbelaez, Panna Felsen, and Jitendra Malik · 2015
Monet: Unsupervised scene decomposition and representation
Christopher P Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, and Alexander Lerchner · 2019
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Improving monocular visual slam in dynamic environments: an optical-flow-based approach
Jiyu Cheng, Yuxiang Sun, and Max Q-H Meng · 2019
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Centernet: Keypoint triplets for object detection
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian · 2019
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Multi-object representation learning with iterative variational inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, and Alexander Lerchner · 2019
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Sail-vos: Semantic amodal instance level video object segmentation - a synthetic dataset and baselines
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, and Alexander G. Schwing · 2019
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 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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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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Attend, infer, repeat: Fast scene understanding with generative models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, koray kavukcuoglu, and Geoffrey E Hinton · 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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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning, 2016
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross Girshick · 2016
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Unsupervised learning of object keypoints for perception and control
Tejas Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, and Volodymyr Mnih · 2019
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Selflow: Self-supervised learning of optical flow
Pengpeng Liu, Michael Lyu, Irwin King, and Jia Xu · 2019
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End-to-end interpretable neural motion planner
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, and Raquel Urtasun · 2019
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Towards understanding ensemble, knowledge distillation and self-distillation in deep learning
Zeyuan Allen-Zhu and Yuanzhi Li · 2020
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Learning what to learn for video object segmentation, 2020
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, and Radu Timofte · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Alignnet: Unsupervised entity alignment
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, et al · 2020
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CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Rohit Girdhar and Deva Ramanan · 2020
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Tracking emerges by looking around static scenes, with neural 3D mapping
Adam W Harley, Shrinidhi K Lakshmikanth, Paul Schydlo, and Katerina Fragkiadaki · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Scalor: Generative world models with scalable object representations
Jindong Jiang*, Sepehr Janghorbani*, Gerard De Melo, and Sungjin Ahn · 2020
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Fast video object segmentation using the global context module, 2020
Yu Li, Zhuoran Shen, and Ying Shan · 2020
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Object-centric learning with slot attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, and Thomas Kipf · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
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TEASER: Fast and certifiable point cloud registration
Heng Yang, Jingnan Shi, and Luca Carlone · 2020
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