Publications

2017


[1]
Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, and Edward Adelson, “Improved GelSight Tactile Sensor for Measuring Geometry and Slip,” accepted at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017.

[2]
G. Rosman, L. Paull, and D. Rus, “Hybrid Control and Learning with Coresets for Autonomous Vehicles,” presented at the IROS 2017, 2017 [Online]. Available: http://www.iros2017.org/program/preliminary-agenda

[3]
R. Paul, A. Barbu, S. Felshin, B. Katz, and N. Roy, “Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context,” presented at the International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017 [Online]. Available: https://ijcai-17.org/accepted-papers.html

[4]
J. Wu, J. B. Tenenbaum, and P. Kohli, “Neural Scene De-Rendering,” presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, Hawaii, 2017 [Online]. Available: http://cvpr2017.thecvf.com/program/main_conference#program_schedule

[5]
A. A. Soltani, H. Huang, J. Wu, T. D. Kulkarni, and J. B. Tenenbaum, “Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks,” presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, Hawaii, 2017 [Online]. Available: http://cvpr2017.thecvf.com/program/main_conference#program_schedule

[6]
L. Anderson, T.-M. Li, J. Lehtinen, and F. Durand, “An Embedded Domain Specific Sampling Language for Monte Carlo Rendering,” ACM Transactions on Graphics, vol. 36, no. 4, Jul. 2017 [Online]. Available: http://s2017.siggraph.org/technical-papers/sessions/rendering-systems

[7]
L. Anderson, T.-M. Li, J. Barron, S. Hasinoff, and F. Durand, “Deep Bilateral Learning for Real-Time Image Enhancement,” ACM Transactions on Graphics, vol. 36, no. 4, Jul. 2017 [Online]. Available: http://s2017.siggraph.org/technical-papers/sessions/deep-image-processi…

[8]
F. Naser, D. Dorhout, S. Proulx, S. D. Pendleton, H. Andersen, W. Schwarting, L. Paull, J. Alonso-Mora, M. H. A. Jr., S. Karaman, R. Tedrake, J. Leonard, and D. Rus, “A Parallel Autonomy Research Platform,” presented at the 2017 IEEE Intelligent Vehicles Symposium, 2017, pp. 933–940 [Online]. Available: https://dspace.mit.edu/handle/1721.1/110322

[9]
W. Yuan, C. Zhu, A. Owens, M. A. Srinivasan, and E. H. Adelson, “Shape-independent Hardness Estimation Using Deep Learning and a GelSight Tactile Sensor,” in IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017 [Online]. Available: https://arxiv.org/abs/1704.03955

[10]
C.-I. Vasile, J. Tumova, S. Karaman, C. Belta, and D. Rus, “Minimum-violation scLTL motion planning for mobility-on-demand,” in IEEE International Conference on Robotics and Automation (ICRA), 2017 [Online]. Available: http://www.icra2017.org/conference/program

[11]
W. Schwarting, J. Alonso-Mora, L. Paull, S. Karaman, and D. Rus, “Parallel Autonomy in Automated Vehicles: Safe Motion Generation with Minimal Intervention,” in IEEE International Conference on Robotics and Automation (ICRA), 2017 [Online]. Available: http://dspace.mit.edu/handle/1721.1/110365

[12]
L. Paull, J. Tani, H. Ahn, J. Alonso-Mora, L. Carlone, M. Cap, Y. F. Chen, C. Choi, J. Dusek, Y. Fang, and others, “Duckietown: an open, inexpensive and flexible platform for autonomy education and research,” in IEEE International Conference on Robotics and Automation (ICRA), 2017 [Online]. Available: http://www.icra2017.org/conference/program

[13]
M. Monfort, M. Johnson, A. Oliva, and K. Hofmann, “Asynchronous Data Aggregation for Training End to End Visual Control Networks,” in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, São Paulo, Brazil, 2017, pp. 530–537 [Online]. Available: http://dl.acm.org/citation.cfm?id=3091125.3091204

[14]
W. Yuan, S. Wang, S. Dong, and E. Adelson, “Connecting Look and Feel: Associating the visual and tactile properties of physical materials,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017 [Online]. Available: https://arxiv.org/abs/1704.03822

[15]
Z. Bylinskii, T. Judd, A. Oliva, A. Torralba, and F. Durand, “What do different evaluation metrics tell us about saliency models?,” Earth, vol. 49, no. 68, p. 88, Apr. 2017 [Online]. Available: https://arxiv.org/abs/1604.03605

[16]
L. Wang, B. K. P. Horn, and G. Strang, “Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic: Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic,” Studies in Applied Mathematics, vol. 138, no. 1, pp. 103–132, Jan. 2017 [Online]. Available: http://doi.wiley.com/10.1111/sapm.12144





2016


[17]
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum, “Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling,” in Advances in Neural Information Processing Systems 29, Barcelona, Spain, 2016, pp. 82–90 [Online]. Available: http://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-…

[18]
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman, “Single Image 3D Interpreter Network,” in Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI, Cham, 2016, pp. 365–382 [Online]. Available: http://dx.doi.org/10.1007/978-3-319-46466-4_22