[shrivastava2016learning] |
Shrivastava, Ashish, Pfister, Tomas, Tuzel, Oncel, Susskind, Josh, Wang, Wenda, Webb, Russ, "Learning from Simulated and Unsupervised Images through Adversarial Training," arXiv preprint arXiv:1612.07828, 2016. paper arXiv code summary google scholar   |
[goodfellow2016nips] |
Goodfellow, Ian, "NIPS 2016 Tutorial: Generative Adversarial Networks," arXiv preprint arXiv:1701.00160, 2016. paper arXiv slides abstract summary google scholar   |
[isola2016image] |
Isola, Phillip, Zhu, Jun-Yan, Zhou, Tinghui, Efros, Alexei A, "Image-to-image translation with conditional adversarial networks," arXiv preprint arXiv:1611.07004, 2016. paper arXiv project code abstract summary google scholar   |
[chen2016infogan] |
Chen, Xi, Duan, Yan, Houthooft, Rein, Schulman, John, Sutskever, Ilya, Abbeel, Pieter, "InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets," Advances in Neural Information Processing Systems, 2016, pp. 2172-2180. paper arXiv code summary google scholar   |
[van2016conditional] |
van den Oord, Aaron, Kalchbrenner, Nal, Espeholt, Lasse, Vinyals, Oriol, Graves, Alex, others, "Conditional image generation with PixelCNN decoders," Advances in Neural Information Processing Systems, 2016, pp. 4790-4798. paper arXiv code abstract summary google scholar   |
[salimans2016improved] |
Salimans, Tim, Goodfellow, Ian, Zaremba, Wojciech, Cheung, Vicki, Radford, Alec, Chen, Xi, "Improved techniques for training GANs," Advances in Neural Information Processing Systems, 2016, pp. 2226-2234. paper arXiv code abstract summary google scholar   |
[radford2015unsupervised] |
Radford, Alec, Metz, Luke, Chintala, Soumith, "Unsupervised representation learning with deep convolutional generative adversarial networks," arXiv preprint arXiv:1511.06434, 2015. paper arXiv code abstract summary google scholar   |
[goodfellow2014generative] |
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, Bengio, Yoshua, "Generative adversarial nets," Advances in neural information processing systems, 2014, pp. 2672-2680. paper arXiv abstract summary google scholar   |
[mirza2014conditional] |
Mirza, Mehdi, Osindero, Simon, "Conditional generative adversarial nets," arXiv preprint arXiv:1411.1784, 2014. google scholar   |
[reed2016generative] |
Reed, Scott, Akata, Zeynep, Yan, Xinchen, Logeswaran, Lajanugen, Schiele, Bernt, Lee, Honglak, "Generative adversarial text to image synthesis," Proceedings of The 33rd International Conference on Machine Learning, 3, 2016. google scholar   |
[odena2016conditional] |
Odena, Augustus, Olah, Christopher, Shlens, Jonathon, "Conditional image synthesis with auxiliary classifier gans," arXiv preprint arXiv:1610.09585, 2016. google scholar   |
[zhao2016energy] |
Zhao, Junbo, Mathieu, Michael, LeCun, Yann, "Energy-based generative adversarial network," arXiv preprint arXiv:1609.03126, 2016. google scholar   |
[dai2017towards] |
Dai, Bo, Lin, Dahua, Urtasun, Raquel, Fidler, Sanja, "Towards Diverse and Natural Image Descriptions via a Conditional GAN," arXiv preprint arXiv:1703.06029, 2017. google scholar   |
[arjovsky2017wasserstein] |
Arjovsky, Martin, Chintala, Soumith, Bottou, L\'eon, "Wasserstein gan," arXiv preprint arXiv:1701.07875, 2017. google scholar   |
[wu2016learning] |
Wu, Jiajun, Zhang, Chengkai, Xue, Tianfan, Freeman, Bill, Tenenbaum, Josh, "Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling," Advances in Neural Information Processing Systems, 2016, pp. 82-90. paper video arXiv project code abstract google scholar   |
[brock2016generative] |
Brock, Andrew, Lim, Theodore, Ritchie, JM, Weston, Nick, "Generative and Discriminative Voxel Modeling with Convolutional Neural Networks," arXiv preprint arXiv:1608.04236, 2016. paper arXiv code abstract google scholar   |
[rezende2016unsupervised] |
Rezende, Danilo Jimenez, Eslami, SM Ali, Mohamed, Shakir, Battaglia, Peter, Jaderberg, Max, Heess, Nicolas, "Unsupervised learning of 3D structure from images," Advances In Neural Information Processing Systems, 2016, pp. 4997-5005. paper video arXiv supplemental abstract summary google scholar   |
[sharma2016vconv] |
Sharma, Abhishek, Grau, Oliver, Fritz, Mario, "Vconv-dae: Deep volumetric shape learning without object labels," Computer Vision-ECCV 2016 Workshops, 2016, pp. 236-250. arXiv project google scholar   |
[girdhar2016learning] |
Girdhar, Rohit, Fouhey, David F, Rodriguez, Mikel, Gupta, Abhinav, "Learning a predictable and generative vector representation for objects," European Conference on Computer Vision, 2016, pp. 484-499. paper arXiv code abstract google scholar   |
[pathak2016context] |
Pathak, Deepak, Krahenbuhl, Philipp, Donahue, Jeff, Darrell, Trevor, Efros, Alexei A, "Context encoders: Feature learning by inpainting," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2536-2544. paper project code google scholar   |
[agrawal2015learning] |
Agrawal, Pulkit, Carreira, Joao, Malik, Jitendra, "Learning to see by moving," Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 37-45. paper project code google scholar   |
[zamir2016generic] |
Zamir, Amir R, Wekel, Tilman, Agrawal, Pulkit, Wei, Colin, Malik, Jitendra, Savarese, Silvio, "Generic 3d representation via pose estimation and matching," European Conference on Computer Vision, 2016, pp. 535-553. paper project google scholar   |
[zeng20163dmatch] |
Zeng, Andy, Song, Shuran, Nie\ssner, Matthias, Fisher, Matthew, Xiao, Jianxiong, Funkhouser, Thomas, "3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions," arXiv preprint arXiv:1603.08182, 2016. paper project code google scholar   |
[schmidt2017self] |
Schmidt, Tanner, Newcombe, Richard, Fox, Dieter, "Self-Supervised Visual Descriptor Learning for Dense Correspondence," IEEE Robotics and Automation Letters, 2, 2, IEEE, 2017, pp. 420-427. paper google scholar   |
[pinto2016supersizing] |
Pinto, Lerrel, Gupta, Abhinav, "Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 3406-3413. paper arXiv google scholar   |
[mottaghi2016happens] |
Mottaghi, Roozbeh, Rastegari, Mohammad, Gupta, Abhinav, Farhadi, Ali, "“What happens if...” Learning to Predict the Effect of Forces in Images," European Conference on Computer Vision, 2016, pp. 269-285. paper arXiv google scholar   |
[sofman2006improving] |
Sofman, Boris, Lin, Ellie, Bagnell, J Andrew, Cole, John, Vandapel, Nicolas, Stentz, Anthony, "Improving robot navigation through self-supervised online learning," Journal of Field Robotics, 23, 11-12, Wiley Online Library, 2006, pp. 1059-1075. google scholar   |
[armeni2017joint] |
Armeni, Iro, Sax, Sasha, Zamir, Amir R, Savarese, Silvio, "Joint 2D-3D-Semantic Data for Indoor Scene Understanding," arXiv preprint arXiv:1702.01105, 2017. paper arXiv data google scholar   |
[armeni20163d] |
Armeni, Iro, Sener, Ozan, Zamir, Amir R, Jiang, Helen, Brilakis, Ioannis, Fischer, Martin, Savarese, Silvio, "3D semantic parsing of large-scale indoor spaces," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 1534-1543. paper project poster supplemental data abstract google scholar   |
[karpathy2014large] |
Karpathy, Andrej, Toderici, George, Shetty, Sanketh, Leung, Thomas, Sukthankar, Rahul, Fei-Fei, Li, "Large-scale video classification with convolutional neural networks," Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, 2014, pp. 1725-1732. paper google scholar   |
[srivastava2015unsupervised] |
Srivastava, Nitish, Mansimov, Elman, Salakhutdinov, Ruslan, "Unsupervised Learning of Video Representations using LSTMs.," ICML, 2015, pp. 843-852. google scholar   |
[wang2015unsupervised] |
Wang, Xiaolong, Gupta, Abhinav, "Unsupervised learning of visual representations using videos," Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 2794-2802. google scholar   |
[yeung2016end] |
Yeung, Serena, Russakovsky, Olga, Mori, Greg, Fei-Fei, Li, "End-to-end learning of action detection from frame glimpses in videos," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2678-2687. paper google scholar   |
[finn2016unsupervised] |
Finn, Chelsea, Goodfellow, Ian, Levine, Sergey, "Unsupervised learning for physical interaction through video prediction," Advances In Neural Information Processing Systems, 2016, pp. 64-72. google scholar   |
[donahue2015long] |
Donahue, Jeffrey, Anne Hendricks, Lisa, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Saenko, Kate, Darrell, Trevor, "Long-term recurrent convolutional networks for visual recognition and description," Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2625-2634. google scholar   |
[huang2017unsupervised] |
Huang, De-An, Lim, Joseph J, Fei-Fei, Li, Niebles, Juan Carlos, "Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos," arXiv preprint arXiv:1703.02521, 2017. google scholar   |
[kalchbrenner2016video] |
Kalchbrenner, Nal, Oord, Aaron van den, Simonyan, Karen, Danihelka, Ivo, Vinyals, Oriol, Graves, Alex, Kavukcuoglu, Koray, "Video pixel networks," arXiv preprint arXiv:1610.00527, 2016. google scholar   |
[luo2017unsupervised] |
Luo, Zelun, Peng, Boya, Huang, De-An, Alahi, Alexandre, Fei-Fei, Li, "Unsupervised Learning of Long-Term Motion Dynamics for Videos," arXiv preprint arXiv:1701.01821, 2017. google scholar   |
[oh2015action] |
Oh, Junhyuk, Guo, Xiaoxiao, Lee, Honglak, Lewis, Richard L, Singh, Satinder, "Action-conditional video prediction using deep networks in atari games," Advances in Neural Information Processing Systems, 2015, pp. 2863-2871. google scholar   |
[held2016learning] |
Held, David, Thrun, Sebastian, Savarese, Silvio, "Learning to track at 100 fps with deep regression networks," European Conference on Computer Vision, 2016, pp. 749-765. google scholar   |
[simonyan2014two] |
Simonyan, Karen, Zisserman, Andrew, "Two-stream convolutional networks for action recognition in videos," Advances in neural information processing systems, 2014, pp. 568-576. google scholar   |
[fischer2015flownet] |
Fischer, Philipp, Dosovitskiy, Alexey, Ilg, Eddy, H\"ausser, Philip, Haz\irba\cs, Caner, Golkov, Vladimir, van der Smagt, Patrick, Cremers, Daniel, Brox, Thomas, "Flownet: Learning optical flow with convolutional networks," arXiv preprint arXiv:1504.06852, 2015. google scholar   |
[mathieu2015deep] |
Mathieu, Michael, Couprie, Camille, LeCun, Yann, "Deep multi-scale video prediction beyond mean square error," arXiv preprint arXiv:1511.05440, 2015. paper google scholar   |
[vondrick2016anticipating] |
Vondrick, Carl, Pirsiavash, Hamed, Torralba, Antonio, "Anticipating visual representations from unlabeled video," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 98-106. google scholar   |
[2017arXiv170307684N] |
Neverova, N., Luc, P., Couprie, C., Verbeek, J.,, "Predicting Deeper into the Future of Semantic Segmentation," ArXiv e-prints, 2017. google scholar   |
[DBLP:journals/corr/JiangG16] |
Hao Jiang,, "Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video," CoRR, abs/1603.07763, 2016. google scholar   |
[mnih2013playing] |
Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Graves, Alex, Antonoglou, Ioannis, Wierstra, Daan, Riedmiller, Martin, "Playing atari with deep reinforcement learning," arXiv preprint arXiv:1312.5602, 2013. paper google scholar   |
[mnih2015human] |
Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Rusu, Andrei A, Veness, Joel, Bellemare, Marc G, Graves, Alex, Riedmiller, Martin, Fidjeland, Andreas K, Ostrovski, Georg, others, "Human-level control through deep reinforcement learning," Nature, 518, 7540, Nature Research, 2015, pp. 529-533. paper google scholar   |
[ba2014multiple] |
Ba, Jimmy, Mnih, Volodymyr, Kavukcuoglu, Koray, "Multiple object recognition with visual attention," arXiv preprint arXiv:1412.7755, 2014. google scholar   |
[dosovitskiy2016learning] |
Dosovitskiy, Alexey, Koltun, Vladlen, "Learning to act by predicting the future," International Conference on Learning Representations (ICLR), 2016. paper video arXiv project google scholar   |
[levine2016end] |
Levine, Sergey, Finn, Chelsea, Darrell, Trevor, Abbeel, Pieter, "End-to-end training of deep visuomotor policies," Journal of Machine Learning Research, 17, 39, 2016, pp. 1-40. google scholar   |
[silver2016mastering] |
Silver, David, Huang, Aja, Maddison, Chris J, Guez, Arthur, Sifre, Laurent, Van Den Driessche, George, Schrittwieser, Julian, Antonoglou, Ioannis, Panneershelvam, Veda, Lanctot, Marc, others, "Mastering the game of Go with deep neural networks and tree search," Nature, 529, 7587, Nature Publishing Group, 2016, pp. 484-489. google scholar   |
[mnih2016asynchronous] |
Mnih, Volodymyr, Badia, Adria Puigdomenech, Mirza, Mehdi, Graves, Alex, Lillicrap, Timothy P, Harley, Tim, Silver, David, Kavukcuoglu, Koray, "Asynchronous methods for deep reinforcement learning," International Conference on Machine Learning, 2016. paper google scholar   |
[shelhamer2016loss] |
Shelhamer, Evan, Mahmoudieh, Parsa, Argus, Max, Darrell, Trevor, "Loss is its own Reward: Self-Supervision for Reinforcement Learning," arXiv preprint arXiv:1612.07307, 2016. google scholar   |
[salimans2017evolution] |
Salimans, Tim, Ho, Jonathan, Chen, Xi, Sutskever, Ilya, "Evolution Strategies as a Scalable Alternative to Reinforcement Learning," arXiv preprint arXiv:1703.03864, 2017. google scholar   |
[mao2016generation] |
Mao, Junhua, Huang, Jonathan, Toshev, Alexander, Camburu, Oana, Yuille, Alan L, Murphy, Kevin, "Generation and comprehension of unambiguous object descriptions," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 11-20. paper google scholar   |
[andreas2016learning] |
Andreas, Jacob, Rohrbach, Marcus, Darrell, Trevor, Klein, Dan, "Learning to compose neural networks for question answering," arXiv preprint arXiv:1601.01705, 2016. paper google scholar   |
[wang2016learning] |
Wang, Sida I, Liang, Percy, Manning, Christopher D, "Learning language games through interaction," arXiv preprint arXiv:1606.02447, 2016. paper google scholar   |
[donahue2015long] |
Donahue, Jeffrey, Anne Hendricks, Lisa, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Saenko, Kate, Darrell, Trevor, "Long-term recurrent convolutional networks for visual recognition and description," Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2625-2634. google scholar   |
[socher2014grounded] |
Socher, Richard, Karpathy, Andrej, Le, Quoc V, Manning, Christopher D, Ng, Andrew Y, "Grounded compositional semantics for finding and describing images with sentences," Transactions of the Association for Computational Linguistics, 2, 2014, pp. 207-218. google scholar   |
[karpathy2015deep] |
Karpathy, Andrej, Fei-Fei, Li, "Deep visual-semantic alignments for generating image descriptions," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3128-3137. google scholar   |
[johnson2016densecap] |
Johnson, Justin, Karpathy, Andrej, Fei-Fei, Li, "Densecap: Fully convolutional localization networks for dense captioning," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 4565-4574. google scholar   |
[xu2015show] |
Xu, Kelvin, Ba, Jimmy, Kiros, Ryan, Cho, Kyunghyun, Courville, Aaron C, Salakhutdinov, Ruslan, Zemel, Richard S, Bengio, Yoshua, "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.," ICML, 14, 2015, pp. 77-81. google scholar   |
[vinyals2015show] |
Vinyals, Oriol, Toshev, Alexander, Bengio, Samy, Erhan, Dumitru, "Show and tell: A neural image caption generator," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3156-3164. google scholar   |
[reed2016generative] |
Reed, Scott, Akata, Zeynep, Yan, Xinchen, Logeswaran, Lajanugen, Schiele, Bernt, Lee, Honglak, "Generative adversarial text to image synthesis," Proceedings of The 33rd International Conference on Machine Learning, 3, 2016. google scholar   |
[krause2016hierarchical] |
Krause, Jonathan, Johnson, Justin, Krishna, Ranjay, Fei-Fei, Li, "A Hierarchical Approach for Generating Descriptive Image Paragraphs," arXiv preprint arXiv:1611.06607, 2016. google scholar   |
[dai2017towards] |
Dai, Bo, Lin, Dahua, Urtasun, Raquel, Fidler, Sanja, "Towards Diverse and Natural Image Descriptions via a Conditional GAN," arXiv preprint arXiv:1703.06029, 2017. google scholar   |
[donahue2015long] |
Donahue, Jeffrey, Anne Hendricks, Lisa, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Saenko, Kate, Darrell, Trevor, "Long-term recurrent convolutional networks for visual recognition and description," Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2625-2634. google scholar   |
[levine2012continuous] |
Levine, Sergey, Wang, Jack M, Haraux, Alexis, Popovi\'c, Zoran, Koltun, Vladlen, "Continuous character control with low-dimensional embeddings," ACM Transactions on Graphics (TOG), 31, 4, ACM, 2012, pp. 28. google scholar   |
[zhu2016generative] |
Zhu, Jun-Yan, Kr\"ahenb\"uhl, Philipp, Shechtman, Eli, Efros, Alexei A, "Generative visual manipulation on the natural image manifold," European Conference on Computer Vision, 2016, pp. 597-613. google scholar   |
[upchurch2016deep] |
Upchurch, Paul, Gardner, Jacob, Bala, Kavita, Pless, Robert, Snavely, Noah, Weinberger, Kilian, "Deep Feature Interpolation for Image Content Changes," arXiv preprint arXiv:1611.05507, 2016. google scholar   |
[flynn2016deepstereo] |
Flynn, John, Neulander, Ivan, Philbin, James, Snavely, Noah, "DeepStereo: Learning to predict new views from the world's imagery," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 5515-5524. google scholar   |
[mordatch2015interactive] |
Mordatch, Igor, Lowrey, Kendall, Andrew, Galen, Popovic, Zoran, Todorov, Emanuel V, "Interactive control of diverse complex characters with neural networks," Advances in Neural Information Processing Systems, 2015, pp. 3132-3140. google scholar   |
[isola2016image] |
Isola, Phillip, Zhu, Jun-Yan, Zhou, Tinghui, Efros, Alexei A, "Image-to-image translation with conditional adversarial networks," arXiv preprint arXiv:1611.07004, 2016. paper arXiv project code abstract summary google scholar   |
[zhang2016colorful] |
Zhang, Richard, Isola, Phillip, Efros, Alexei A, "Colorful image colorization," European Conference on Computer Vision, 2016, pp. 649-666. google scholar   |
[srivastava2015unsupervised] |
Srivastava, Nitish, Mansimov, Elman, Salakhutdinov, Ruslan, "Unsupervised Learning of Video Representations using LSTMs.," ICML, 2015, pp. 843-852. google scholar   |
[byeon2015scene] |
Byeon, Wonmin, Breuel, Thomas M, Raue, Federico, Liwicki, Marcus, "Scene labeling with lstm recurrent neural networks," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3547-3555. google scholar   |
[donahue2015long] |
Donahue, Jeffrey, Anne Hendricks, Lisa, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Saenko, Kate, Darrell, Trevor, "Long-term recurrent convolutional networks for visual recognition and description," Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2625-2634. google scholar   |
[oord2016pixel] |
Oord, Aaron van den, Kalchbrenner, Nal, Kavukcuoglu, Koray, "Pixel recurrent neural networks," arXiv preprint arXiv:1601.06759, 2016. google scholar   |
[krause2016hierarchical] |
Krause, Jonathan, Johnson, Justin, Krishna, Ranjay, Fei-Fei, Li, "A Hierarchical Approach for Generating Descriptive Image Paragraphs," arXiv preprint arXiv:1611.06607, 2016. google scholar   |
[dai2017towards] |
Dai, Bo, Lin, Dahua, Urtasun, Raquel, Fidler, Sanja, "Towards Diverse and Natural Image Descriptions via a Conditional GAN," arXiv preprint arXiv:1703.06029, 2017. google scholar   |
[saxena2008robotic] |
Saxena, Ashutosh, Driemeyer, Justin, Ng, Andrew Y, "Robotic grasping of novel objects using vision," The International Journal of Robotics Research, 27, 2, Sage Publications Sage UK: London, England, 2008, pp. 157-173. google scholar   |
[sung2015robobarista] |
Sung, Jaeyong, Jin, Seok Hyun, Saxena, Ashutosh, "Robobarista: Object part based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds," arXiv preprint arXiv:1504.03071, 2015. google scholar   |
[misra2016tell] |
Misra, Dipendra K, Sung, Jaeyong, Lee, Kevin, Saxena, Ashutosh, "Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions," The International Journal of Robotics Research, 35, 1-3, SAGE Publications Sage UK: London, England, 2016, pp. 281-300. google scholar   |
[lenz2015deep] |
Lenz, Ian, Lee, Honglak, Saxena, Ashutosh, "Deep learning for detecting robotic grasps," The International Journal of Robotics Research, 34, 4-5, SAGE Publications Sage UK: London, England, 2015, pp. 705-724. paper video project code data google scholar   |
[lenz2015deepmpc] |
Lenz, Ian, Knepper, Ross A, Saxena, Ashutosh, "DeepMPC: Learning Deep Latent Features for Model Predictive Control.," Robotics: Science and Systems, 2015. google scholar   |
[levine2016end] |
Levine, Sergey, Finn, Chelsea, Darrell, Trevor, Abbeel, Pieter, "End-to-end training of deep visuomotor policies," Journal of Machine Learning Research, 17, 39, 2016, pp. 1-40. google scholar   |
[levine2015learning] |
Levine, Sergey, Wagener, Nolan, Abbeel, Pieter, "Learning contact-rich manipulation skills with guided policy search," Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2015, pp. 156-163. google scholar   |
[pinto2016curious] |
Pinto, Lerrel, Gandhi, Dhiraj, Han, Yuanfeng, Park, Yong-Lae, Gupta, Abhinav, "The curious robot: Learning visual representations via physical interactions," European Conference on Computer Vision, 2016, pp. 3-18. paper arXiv google scholar   |
[finn2016deepautoencoders] |
Finn, Chelsea, Tan, Xin Yu, Duan, Yan, Darrell, Trevor, Levine, Sergey, Abbeel, Pieter, "Deep spatial autoencoders for visuomotor learning," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 512-519. google scholar   |
[pinto2016supersizing] |
Pinto, Lerrel, Gupta, Abhinav, "Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 3406-3413. paper arXiv google scholar   |
[45450] |
Sergey Levine, Peter Pastor Sampedro, Alex Krizhevsky, Deirdre Quillen, "Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection," 2016. google scholar   |
[zeng2016multi] |
Zeng, Andy, Yu, Kuan-Ting, Song, Shuran, Suo, Daniel, Walker Jr, Ed, Rodriguez, Alberto, Xiao, Jianxiong, "Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge," arXiv preprint arXiv:1609.09475, 2016. google scholar   |
[finn2016guided] |
Finn, Chelsea, Levine, Sergey, Abbeel, Pieter, "Guided cost learning: Deep inverse optimal control via policy optimization," Proceedings of the 33rd International Conference on Machine Learning, 48, 2016. google scholar   |
[pinto2017supervision] |
Lerrel Pinto, James Davidson, Abhinav Gupta, "Supervision via Competition: Robot Adversaries for Learning Tasks," 2017. paper video arXiv code google scholar   |
[janai2017computer] |
Janai, Joel, G\"uney, Fatma, Behl, Aseem, Geiger, Andreas, "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art," arXiv preprint arXiv:1704.05519, 2017. paper google scholar   |
[thrun2006stanley] |
Thrun, Sebastian, Montemerlo, Mike, Dahlkamp, Hendrik, Stavens, David, Aron, Andrei, Diebel, James, Fong, Philip, Gale, John, Halpenny, Morgan, Hoffmann, Gabriel, others, "Stanley: The robot that won the DARPA Grand Challenge," Journal of field Robotics, 23, 9, Wiley Online Library, 2006, pp. 661-692. google scholar   |
[urmson2007tartan] |
Urmson, Chris, Bagnell, J Andrew, Baker, Christopher R, Hebert, Martial, Kelly, Alonzo, Rajkumar, Raj, Rybski, Paul E, Scherer, Sebastian, Simmons, Reid, Singh, Sanjiv, others, "Tartan racing: A multi-modal approach to the darpa urban challenge," 2007. google scholar   |
[fletcher2008cornell] |
Fletcher, Luke, Teller, Seth, Olson, Edwin, Moore, David, Kuwata, Yoshiaki, How, Jonathan, Leonard, John, Miller, Isaac, Campbell, Mark, Huttenlocher, Dan, others, "The MIT-Cornell collision and why it happened," Journal of Field Robotics, 25, 10, Wiley Online Library, 2008, pp. 775-807. google scholar   |
[leonard2008perception] |
Leonard, John, How, Jonathan, Teller, Seth, Berger, Mitch, Campbell, Stefan, Fiore, Gaston, Fletcher, Luke, Frazzoli, Emilio, Huang, Albert, Karaman, Sertac, others, "A perception-driven autonomous urban vehicle," Journal of Field Robotics, 25, 10, Wiley Online Library, 2008, pp. 727-774. google scholar   |
[hadsell2008deep] |
Hadsell, Raia, Erkan, Ayse, Sermanet, Pierre, Scoffier, Marco, Muller, Urs, LeCun, Yann, "Deep belief net learning in a long-range vision system for autonomous off-road driving," Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on, 2008, pp. 628-633. google scholar   |
[urmson2008autonomous] |
Urmson, Chris, Anhalt, Joshua, Bagnell, Drew, Baker, Christopher, Bittner, Robert, Clark, MN, Dolan, John, Duggins, Dave, Galatali, Tugrul, Geyer, Chris, others, "Autonomous driving in urban environments: Boss and the urban challenge," Journal of Field Robotics, 25, 8, Wiley Online Library, 2008, pp. 425-466. google scholar   |
[petrovskaya2009model] |
Petrovskaya, Anna, Thrun, Sebastian, "Model based vehicle detection and tracking for autonomous urban driving," Autonomous Robots, 26, 2-3, Kluwer Academic Publishers, 2009, pp. 123-139. google scholar   |
[dolgov2010path] |
Dolgov, Dmitri, Thrun, Sebastian, Montemerlo, Michael, Diebel, James, "Path planning for autonomous vehicles in unknown semi-structured environments," The International Journal of Robotics Research, 29, 5, SAGE Publications Sage UK: London, England, 2010, pp. 485-501. google scholar   |
[levinson2010robust] |
Levinson, Jesse, Thrun, Sebastian, "Robust vehicle localization in urban environments using probabilistic maps," Robotics and Automation (ICRA), 2010 IEEE International Conference on, 2010, pp. 4372-4378. google scholar   |
[levinson2011towards] |
Levinson, Jesse, Askeland, Jake, Becker, Jan, Dolson, Jennifer, Held, David, Kammel, Soeren, Kolter, J Zico, Langer, Dirk, Pink, Oliver, Pratt, Vaughan, others, "Towards fully autonomous driving: Systems and algorithms," Intelligent Vehicles Symposium (IV), 2011 IEEE, 2011, pp. 163-168. google scholar   |
[geiger2012we] |
Geiger, Andreas, Lenz, Philip, Urtasun, Raquel, "Are we ready for autonomous driving? the kitti vision benchmark suite," Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012, pp. 3354-3361. google scholar   |
[cirecsan2012multi] |
Cire\csAn, Dan, Meier, Ueli, Masci, Jonathan, Schmidhuber, J\"urgen, "Multi-column deep neural network for traffic sign classification," Neural Networks, 32, Elsevier, 2012, pp. 333-338. google scholar   |
[huval2015empirical] |
Huval, Brody, Wang, Tao, Tandon, Sameep, Kiske, Jeff, Song, Will, Pazhayampallil, Joel, Andriluka, Mykhaylo, Rajpurkar, Pranav, Migimatsu, Toki, Cheng-Yue, Royce, others, "An empirical evaluation of deep learning on highway driving," arXiv preprint arXiv:1504.01716, 2015. google scholar   |
[chen2015deepdriving] |
Chen, Chenyi, Seff, Ari, Kornhauser, Alain, Xiao, Jianxiong, "Deepdriving: Learning affordance for direct perception in autonomous driving," Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 2722-2730. google scholar   |
[teichmann2016multinet] |
Teichmann, Marvin, Weber, Michael, Zoellner, Marius, Cipolla, Roberto, Urtasun, Raquel, "MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving," arXiv preprint arXiv:1612.07695, 2016. google scholar   |
[seff2016learning] |
Seff, Ari, Xiao, Jianxiong, "Learning from Maps: Visual Common Sense for Autonomous Driving," arXiv preprint arXiv:1611.08583, 2016. google scholar   |
[xu2016end] |
Xu, Huazhe, Gao, Yang, Yu, Fisher, Darrell, Trevor, "End-to-end Learning of Driving Models from Large-scale Video Datasets," arXiv preprint arXiv:1612.01079, 2016. google scholar   |
[bojarski2016end] |
Bojarski, Mariusz, Del Testa, Davide, Dworakowski, Daniel, Firner, Bernhard, Flepp, Beat, Goyal, Prasoon, Jackel, Lawrence D, Monfort, Mathew, Muller, Urs, Zhang, Jiakai, others, "End to end learning for self-driving cars," arXiv preprint arXiv:1604.07316, 2016. google scholar   |
[zhang2016query] |
Zhang, Jiakai, Cho, Kyunghyun, "Query-efficient imitation learning for end-to-end autonomous driving," arXiv preprint arXiv:1605.06450, 2016. google scholar   |
[provodin2016fast] |
Provodin, Artem, Torabi, Liila, Flepp, Beat, LeCun, Yann, Sergio, Michael, Jackel, LD, Muller, Urs, Zbontar, Jure, "Fast Incremental Learning for Off-Road Robot Navigation," arXiv preprint arXiv:1606.08057, 2016. google scholar   |
[bagnell2001autonomous] |
Bagnell, J Andrew, Schneider, Jeff G, "Autonomous helicopter control using reinforcement learning policy search methods," Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on, 2, 2001, pp. 1615-1620. google scholar   |
[tedrake2004stochastic] |
Tedrake, Russ, Zhang, Teresa Weirui, Seung, H Sebastian, "Stochastic policy gradient reinforcement learning on a simple 3D biped," Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, 3, 2004, pp. 2849-2854. google scholar   |
[abbeel2007application] |
Abbeel, Pieter, Coates, Adam, Quigley, Morgan, Ng, Andrew Y, "An application of reinforcement learning to aerobatic helicopter flight," Advances in neural information processing systems, 19, MIT; 1998, 2007, pp. 1. google scholar   |
[abbeel2010autonomous] |
Abbeel, Pieter, Coates, Adam, Ng, Andrew Y, "Autonomous helicopter aerobatics through apprenticeship learning," The International Journal of Robotics Research, 29, 13, SAGE Publications Sage UK: London, England, 2010, pp. 1608-1639. google scholar   |
[zhang2016learning] |
Zhang, Marvin, McCarthy, Zoe, Finn, Chelsea, Levine, Sergey, Abbeel, Pieter, "Learning deep neural network policies with continuous memory states," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 520-527. google scholar   |
[lee2017learning] |
Lee, Alex X, Levine, Sergey, Abbeel, Pieter, "Learning Visual Servoing with Deep Features and Fitted Q-Iteration," arXiv preprint arXiv:1703.11000, 2017. google scholar   |
[kahn2017uncertainty] |
Kahn, Gregory, Villaflor, Adam, Pong, Vitchyr, Abbeel, Pieter, Levine, Sergey, "Uncertainty-Aware Reinforcement Learning for Collision Avoidance," arXiv preprint arXiv:1702.01182, 2017. google scholar   |
[bills2011autonomous] |
Bills, Cooper, Chen, Joyce, Saxena, Ashutosh, "Autonomous MAV flight in indoor environments using single image perspective cues," Robotics and automation (ICRA), 2011 IEEE international conference on, 2011, pp. 5776-5783. google scholar   |
[fraundorfer2012vision] |
Fraundorfer, Friedrich, Heng, Lionel, Honegger, Dominik, Lee, Gim Hee, Meier, Lorenz, Tanskanen, Petri, Pollefeys, Marc, "Vision-based autonomous mapping and exploration using a quadrotor MAV," Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on, 2012, pp. 4557-4564. google scholar   |
[tellex2011understanding] |
Tellex, Stefanie A, Kollar, Thomas Fleming, Dickerson, Steven R, Walter, Matthew R, Banerjee, Ashis, Teller, Seth, Roy, Nicholas, "Understanding natural language commands for robotic navigation and mobile manipulation," AAAI Publications, 2011. google scholar   |
[tellex2014asking] |
Tellex, Stefanie, Knepper, Ross A, Li, Adrian, Rus, Daniela, Roy, Nicholas, "Asking for Help Using Inverse Semantics.," Robotics: Science and systems, 2, 3, 2014. google scholar   |
[daftry2016learning] |
Daftry, Shreyansh, Bagnell, J Andrew, Hebert, Martial, "Learning transferable policies for monocular reactive mav control," arXiv preprint arXiv:1608.00627, 2016. google scholar   |
[lerer2016learning] |
Lerer, Adam, Gross, Sam, Fergus, Rob, "Learning physical intuition of block towers by example," arXiv preprint arXiv:1603.01312, 2016. paper google scholar   |
[finn2016unsupervised] |
Finn, Chelsea, Goodfellow, Ian, Levine, Sergey, "Unsupervised learning for physical interaction through video prediction," Advances In Neural Information Processing Systems, 2016, pp. 64-72. google scholar   |
[pinto2016curious] |
Pinto, Lerrel, Gandhi, Dhiraj, Han, Yuanfeng, Park, Yong-Lae, Gupta, Abhinav, "The curious robot: Learning visual representations via physical interactions," European Conference on Computer Vision, 2016, pp. 3-18. paper arXiv google scholar   |
[agrawal2016learning] |
Agrawal, Pulkit, Nair, Ashvin, Abbeel, Pieter, Malik, Jitendra, Levine, Sergey, "Learning to poke by poking: Experiential learning of intuitive physics," arXiv preprint arXiv:1606.07419, 2016. paper google scholar   |
[fragkiadaki2015learning] |
Fragkiadaki, Katerina, Agrawal, Pulkit, Levine, Sergey, Malik, Jitendra, "Learning visual predictive models of physics for playing billiards," arXiv preprint arXiv:1511.07404, 2015. google scholar   |
[kulkarni2015deep] |
Kulkarni, Tejas D, Whitney, William F, Kohli, Pushmeet, Tenenbaum, Josh, "Deep convolutional inverse graphics network," Advances in Neural Information Processing Systems, 2015, pp. 2539-2547. google scholar   |
[kingma2013auto] |
Kingma, Diederik P, Welling, Max, "Auto-encoding variational bayes," arXiv preprint arXiv:1312.6114, 2013. google scholar   |
[abbeel2004apprenticeship] |
Abbeel, Pieter, Ng, Andrew Y, "Apprenticeship learning via inverse reinforcement learning," Proceedings of the twenty-first international conference on Machine learning, 2004, pp. 1. google scholar   |
[ross2011reduction] |
Ross, St\'ephane, Gordon, Geoffrey J, Bagnell, Drew, "A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.," AISTATS, 1, 2, 2011, pp. 6. google scholar   |
[ziebart2008maximum] |
Ziebart, Brian D, Maas, Andrew L, Bagnell, J Andrew, Dey, Anind K, "Maximum Entropy Inverse Reinforcement Learning.," AAAI, 8, 2008, pp. 1433-1438. google scholar   |
[wulfmeier2015maximum] |
Wulfmeier, Markus, Ondruska, Peter, Posner, Ingmar, "Maximum entropy deep inverse reinforcement learning," arXiv preprint arXiv:1507.04888, 2015. google scholar   |
[finn2016guided] |
Finn, Chelsea, Levine, Sergey, Abbeel, Pieter, "Guided cost learning: Deep inverse optimal control via policy optimization," Proceedings of the 33rd International Conference on Machine Learning, 48, 2016. google scholar   |
[ho2016generative] |
Ho, Jonathan, Ermon, Stefano, "Generative adversarial imitation learning," Advances in Neural Information Processing Systems, 2016, pp. 4565-4573. google scholar   |
[bojarski2016end] |
Bojarski, Mariusz, Del Testa, Davide, Dworakowski, Daniel, Firner, Bernhard, Flepp, Beat, Goyal, Prasoon, Jackel, Lawrence D, Monfort, Mathew, Muller, Urs, Zhang, Jiakai, others, "End to end learning for self-driving cars," arXiv preprint arXiv:1604.07316, 2016. google scholar   |
[zhang2016query] |
Zhang, Jiakai, Cho, Kyunghyun, "Query-efficient imitation learning for end-to-end autonomous driving," arXiv preprint arXiv:1605.06450, 2016. google scholar   |
[schaul2015prioritized] |
Schaul, Tom, Quan, John, Antonoglou, Ioannis, Silver, David, "Prioritized experience replay," arXiv preprint arXiv:1511.05952, 2015. google scholar   |
[wang2015dueling] |
Wang, Ziyu, Schaul, Tom, Hessel, Matteo, van Hasselt, Hado, Lanctot, Marc, de Freitas, Nando, "Dueling network architectures for deep reinforcement learning," arXiv preprint arXiv:1511.06581, 2015. google scholar   |
[van2016deep] |
Van Hasselt, Hado, Guez, Arthur, Silver, David, "Deep Reinforcement Learning with Double Q-Learning.," AAAI, 2016, pp. 2094-2100. google scholar   |
[levine2013guided] |
Levine, Sergey, Koltun, Vladlen, "Guided Policy Search.," ICML (3), 2013, pp. 1-9. google scholar   |
[levine2014learning] |
Levine, Sergey, Koltun, Vladlen, "Learning Complex Neural Network Policies with Trajectory Optimization.," ICML, 2014, pp. 829-837. google scholar   |
[levine2014learning] |
Levine, Sergey, Koltun, Vladlen, "Learning Complex Neural Network Policies with Trajectory Optimization.," ICML, 2014, pp. 829-837. google scholar   |
[montgomery2016guided] |
Montgomery, William H, Levine, Sergey, "Guided Policy Search via Approximate Mirror Descent," Advances in Neural Information Processing Systems, 2016, pp. 4008-4016. google scholar   |
[zhang2016learning] |
Zhang, Marvin, McCarthy, Zoe, Finn, Chelsea, Levine, Sergey, Abbeel, Pieter, "Learning deep neural network policies with continuous memory states," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 520-527. google scholar   |
[finn2016deepautoencoders] |
Finn, Chelsea, Tan, Xin Yu, Duan, Yan, Darrell, Trevor, Levine, Sergey, Abbeel, Pieter, "Deep spatial autoencoders for visuomotor learning," Robotics and Automation (ICRA), 2016 IEEE International Conference on, 2016, pp. 512-519. google scholar   |
[schulman2015trust] |
Schulman, John, Levine, Sergey, Abbeel, Pieter, Jordan, Michael I, Moritz, Philipp, "Trust Region Policy Optimization.," ICML, 2015, pp. 1889-1897. google scholar   |
[lillicrap2015continuous] |
Lillicrap, Timothy P, Hunt, Jonathan J, Pritzel, Alexander, Heess, Nicolas, Erez, Tom, Tassa, Yuval, Silver, David, Wierstra, Daan, "Continuous control with deep reinforcement learning," arXiv preprint arXiv:1509.02971, 2015. google scholar   |
[duan2016benchmarking] |
Duan, Yan, Chen, Xi, Houthooft, Rein, "Benchmarking deep reinforcement learning for continuous control," . google scholar   |
[tamar2016value] |
Tamar, Aviv, Wu, Yi, Thomas, Garrett, Levine, Sergey, Abbeel, Pieter, "Value iteration networks," Advances in Neural Information Processing Systems, 2016, pp. 2154-2162. google scholar   |
[finn2016deepforesight] |
Finn, Chelsea, Levine, Sergey, "Deep Visual Foresight for Planning Robot Motion," arXiv preprint arXiv:1610.00696, 2016. google scholar   |
[chebotar2017combining] |
Chebotar, Yevgen, Hausman, Karol, Zhang, Marvin, Sukhatme, Gaurav, Schaal, Stefan, Levine, Sergey, "Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning," arXiv preprint arXiv:1703.03078, 2017. google scholar   |
[gu2016q] |
Gu, Shixiang, Lillicrap, Timothy, Ghahramani, Zoubin, Turner, Richard E, Levine, Sergey, "Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic," arXiv preprint arXiv:1611.02247, 2016. google scholar   |
[o2016pgq] |
O'Donoghue, Brendan, Munos, Remi, Kavukcuoglu, Koray, Mnih, Volodymyr, "PGQ: Combining policy gradient and Q-learning," arXiv preprint arXiv:1611.01626, 2016. google scholar   |
[bahdanau2016actor] |
Bahdanau, Dzmitry, Brakel, Philemon, Xu, Kelvin, Goyal, Anirudh, Lowe, Ryan, Pineau, Joelle, Courville, Aaron, Bengio, Yoshua, "An actor-critic algorithm for sequence prediction," arXiv preprint arXiv:1607.07086, 2016. google scholar   |
[jaderberg2016reinforcement] |
Jaderberg, Max, Mnih, Volodymyr, Czarnecki, Wojciech Marian, Schaul, Tom, Leibo, Joel Z, Silver, David, Kavukcuoglu, Koray, "Reinforcement learning with unsupervised auxiliary tasks," arXiv preprint arXiv:1611.05397, 2016. google scholar   |
[choy20163d] |
Choy, Christopher B, Xu, Danfei, Gwak, JunYoung, Chen, Kevin, Savarese, Silvio, "3D-R2N2: A unified approach for single and multi-view 3d object reconstruction," European Conference on Computer Vision, 2016, pp. 628-644. paper arXiv project slides poster code google scholar   |