Fetching the paper…
Reading the bibliography…
The connection between visual input and tactile sensing is critical for object manipulation tasks such as grasping and pushing.
Williams, R.J.: Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning 8
1992
Earlier work this paper cites.
Wang, O., Gunawardane, P., Scher, S., Davis, J.: Material classification using brdf slices. In: Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. pp. 2805–2811. IEEE (2009)
2009
Earlier work this paper cites.
Jehle, M., Sommer, C., Jähne, B.: Learning of optimal illumination for material classification. In: Joint Pattern Recognition Symposium. pp. 563–572. Springer (2010)
2010
Earlier work this paper cites.
Fishel, J.A., Loeb, G.E.: Bayesian exploration for intelligent identification of textures. Frontiers in neurorobotics 6
2012
Earlier work this paper cites.
Geiger, A., Lenz, P., Stiller, C., Urtasun, R.: Vision meets robotics: The kitti dataset. The International Journal of Robotics Research 32
2013
Earlier work this paper cites.
Arian, M.S., Blaine, C.A., Loeb, G.E., Fishel, J.A.: Using the biotac as a tumor localization tool. In: 2014 IEEE Haptics Symposium (HAPTICS). pp. 443–448. IEEE (2014)
2014
Earlier work this paper cites.
Burgos-Artizzu, X.P., Ronchi, M.R., Perona, P.: Distance estimation of an unknown person from a portrait. In: European Conference on Computer Vision. pp. 313–327. Springer (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Li, R., Platt, R., Yuan, W., ten Pas, A., Roscup, N., Srinivasan, M.A., Adelson, E.: Localization and manipulation of small parts using gelsight tactile sensing. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 3988–3993. IEEE (2014)
2014
Earlier work this paper cites.
Liu, C., Gu, J.: Discriminative illumination: Per-pixel classification of raw materials based on optimal projections of spectral brdf. IEEE transactions on pattern analysis and machine intelligence 36
2014
Earlier work this paper cites.
Reinecke, J., Dietrich, A., Schmidt, F., Chalon, M.: Experimental comparison of slip detection strategies by tactile sensing with the biotac® on the dlr hand arm system. In: 2014 IEEE international Conference on Robotics and Automation (ICRA). pp. 2742–2748. IEEE (2014)
2014
Earlier work this paper cites.
Glasner, D., Fua, P., Zickler, T., Zelnik-Manor, L.: Hot or not: Exploring correlations between appearance and temperature. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 3997–4005 (2015)
2015
Earlier work this paper cites.
Karpathy, A., Fei-Fei, L.: Deep visual-semantic alignments for generating image descriptions. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3128–3137 (2015)
2015
Earlier work this paper cites.
Nielsen, J.B., Jensen, H.W., Ramamoorthi, R.: On optimal, minimal brdf sampling for reflectance acquisition. ACM Transactions on Graphics (TOG) 34
2015
Earlier work this paper cites.
Ranjan, V., Rasiwasia, N., Jawahar, C.: Multi-label cross-modal retrieval. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 4094–4102 (2015)
2015
Earlier work this paper cites.
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. International journal of computer vision 115
2015
Earlier work this paper cites.
Su, H., Maji, S., Kalogerakis, E., Learned-Miller, E.: Multi-view convolutional neural networks for 3d shape recognition. In: Proceedings of the IEEE international conference on computer vision. pp. 945–953 (2015)
2015
Earlier work this paper cites.
Su, Z., Hausman, K., Chebotar, Y., Molchanov, A., Loeb, G.E., Sukhatme, G.S., Schaal, S.: Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. In: 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids). pp. 297–303. IEEE (2015)
2015
Earlier work this paper cites.
Wu, J., Yildirim, I., Lim, J.J., Freeman, B., Tenenbaum, J.: Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. In: Advances in neural information processing systems. pp. 127–135 (2015)
2015
Earlier work this paper cites.
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., Xiao, J.: 3d shapenets: A deep representation for volumetric shapes. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1912–1920 (2015)
2015
Earlier work this paper cites.
Zhang, H., Dana, K., Nishino, K.: Reflectance hashing for material recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3071–3080 (2015)
2015
Earlier work this paper cites.
Bessinger, Z., Jacobs, N.: Quantifying curb appeal. In: 2016 IEEE International Conference on Image Processing (ICIP). pp. 4388–4392. IEEE (2016)
2016
Earlier work this paper cites.
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3213–3223 (2016)
2016
Earlier work this paper cites.
DeGol, J., Golparvar-Fard, M., Hoiem, D.: Geometry-informed material recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1554–1562 (2016)
2016
Earlier work this paper cites.
Dymczyk, M., Schneider, T., Gilitschenski, I., Siegwart, R., Stumm, E.: Erasing bad memories: Agent-side summarization for long-term mapping. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 4572–4579. IEEE (2016)
2016
Earlier work this paper cites.
Gao, Y., Hendricks, L.A., Kuchenbecker, K.J., Darrell, T.: Deep learning for tactile understanding from visual and haptic data. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). pp. 536–543. IEEE (2016)
2016
Cited alongside, same era.
Jean, N., Burke, M., Xie, M., Davis, W.M., Lobell, D.B., Ermon, S.: Combining satellite imagery and machine learning to predict poverty. Science 353
2016
Cited alongside, same era.
Johns, E., Leutenegger, S., Davison, A.J.: Pairwise decomposition of image sequences for active multi-view recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3813–3822 (2016)
2016
Cited alongside, same era.
Owens, A., Isola, P., McDermott, J., Torralba, A., Adelson, E.H., Freeman, W.T.: Visually indicated sounds. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2405–2413 (2016)
2016
Cited alongside, same era.
Wu, J., Lu, E., Kohli, P., Freeman, B., Tenenbaum, J.: Learning to see physics via visual de-animation. In: Advances in Neural Information Processing Systems. pp. 153–164 (2017)
2017
Later among the works it cites.
Xue, J., Zhang, H., Dana, K., Nishino, K.: Differential angular imaging for material recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 764–773 (2017)
2017
Later among the works it cites.
Yuan, W., Wang, S., Dong, S., Adelson, E.: Connecting look and feel: Associating the visual and tactile properties of physical materials. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5580–5588 (2017)
2017
Later among the works it cites.
Zhao, C., Sun, L., Stolkin, R.: A fully end-to-end deep learning approach for real-time simultaneous 3d reconstruction and material recognition. In: 2017 18th International Conference on Advanced Robotics (ICAR). pp. 75–82. IEEE (2017)
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Owens, A., Wu, J., McDermott, J.H., Freeman, W.T., Torralba, A.: Ambient sound provides supervision for visual learning. In: European conference on computer vision. pp. 801–816. Springer (2016)
2016
Cited alongside, same era.
2016
Cited alongside, same era.
Shelhamer, E., Rakelly, K., Hoffman, J., Darrell, T.: Clockwork convnets for video semantic segmentation. In: European Conference on Computer Vision. pp. 852–868. Springer (2016)
2016
Cited alongside, same era.
Volokitin, A., Timofte, R., Van Gool, L.: Deep features or not: Temperature and time prediction in outdoor scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. pp. 63–71 (2016)
2016
Cited alongside, same era.
Wang, T.C., Zhu, J.Y., Hiroaki, E., Chandraker, M., Efros, A.A., Ramamoorthi, R.: A 4d light-field dataset and cnn architectures for material recognition. In: European Conference on Computer Vision. pp. 121–138. Springer (2016)
2016
Cited alongside, same era.
Zhang, H., Dana, K., Nishino, K.: Friction from reflectance: Deep reflectance codes for predicting physical surface properties from one-shot in-field reflectance. In: Proceedings of the European Conference on Computer Vision (ECCV) (2016)
2016
Cited alongside, same era.
Zhang, H., Dana, K., Nishino, K.: Friction from reflectance: Deep reflectance codes for predicting physical surface properties from one-shot in-field reflectance. In: European Conference on Computer Vision. pp. 808–824. Springer (2016)
2016
Cited alongside, same era.
2016
Cited alongside, same era.
Zhu, J.Y., Zhang, R., Pathak, D., Darrell, T., Efros, A.A., Wang, O., Shechtman, E.: Toward multimodal image-to-image translation. In: Advances in neural information processing systems. pp. 465–476 (2017)
2017
Later among the works it cites.
Arandjelovic, R., Zisserman, A.: Objects that sound. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 435–451 (2018)
2018
Later among the works it cites.
Calandra, R., Owens, A., Jayaraman, D., Lin, J., Yuan, W., Malik, J., Adelson, E.H., Levine, S.: More than a feeling: Learning to grasp and regrasp using vision and touch. IEEE Robotics and Automation Letters 3
2018
Later among the works it cites.
Chung, Y.A., Weng, W.H., Tong, S., Glass, J.: Unsupervised cross-modal alignment of speech and text embedding spaces. In: Advances in Neural Information Processing Systems. pp. 7354–7364 (2018)
2018
Later among the works it cites.
Gonzalez-Garcia, A., van de Weijer, J., Bengio, Y.: Image-to-image translation for cross-domain disentanglement. In: Advances in Neural Information Processing Systems. pp. 1287–1298 (2018)
2018
Later among the works it cites.
Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 7132–7141 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Jayaraman, D., Grauman, K.: Learning to look around: Intelligently exploring unseen environments for unknown tasks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1238–1247 (2018)
2018
Later among the works it cites.
Kerr, E., McGinnity, T.M., Coleman, S.: Material recognition using tactile sensing. Expert Systems with Applications 94
2018
Later among the works it cites.
Liu, C., Zoph, B., Neumann, M., Shlens, J., Hua, W., Li, L.J., Fei-Fei, L., Yuille, A., Huang, J., Murphy, K.: Progressive neural architecture search. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 19–34 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Owens, A., Efros, A.A.: Audio-visual scene analysis with self-supervised multisensory features. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 631–648 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Yuan, W., Mo, Y., Wang, S., Adelson, E.H.: Active clothing material perception using tactile sensing and deep learning. In: 2018 IEEE International Conference on Robotics and Automation (ICRA). pp. 1–8. IEEE (2018)
2018
Later among the works it cites.
Zhang, Y., Lu, H.: Deep cross-modal projection learning for image-text matching. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 686–701 (2018)
2018
Later among the works it cites.
Zhang, Z., Yang, L., Zheng, Y.: Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network. In: Proceedings of the IEEE conference on computer vision and pattern Recognition. pp. 9242–9251 (2018)
2018
Later among the works it cites.
Zhou, B., Andonian, A., Oliva, A., Torralba, A.: Temporal relational reasoning in videos. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 803–818 (2018)
2018
Later among the works it cites.
Feichtenhofer, C., Fan, H., Malik, J., He, K.: Slowfast networks for video recognition. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 6202–6211 (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.