Publications

2017

[1]
B. Wolfe, J. Dobres, R. Rosenholtz, and B. Reimer, “More than the Useful Field: Considering peripheral vision in driving,” Applied Ergonomics, vol. 65, pp. 316–325, Nov. 2017 [Online]. Available: https://doi.org/10.1016/j.apergo.2017.07.009

[2]
W. Schwarting, J. Alonso-Mora, L. Paull, S. Karaman, and D. Rus, “Safe Nonlinear Trajectory Generation for Parallel Autonomy with a Dynamic Vehicle Model,” IEEE Transactions on Intelligent Transportation Systems, Oct. 2017.

[3]
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.

[4]
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

[5]
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

[6]
N. W. Kim, Z. Bylinskii, M. A. Borkin, K. Z. Gajos, A. Oliva, F. Durand, and H. Pfister, “BubbleView: a validation of a mouse-contingent interface for crowdsourcing image importance and tracking visual attention,” Aug. 2017 [Online]. Available: https://arxiv.org/pdf/1702.05150.pdf

[7]
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

[8]
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

[9]
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

[10]
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…

[11]
B. Wolfe, L. Fridman, A. Kosovicheva, B. Seppelt, B. Mehler, R. Rosenholtz, and B. Reimer, “PERCEIVING THE ROADWAY IN THE BLINK OF AN EYE–RAPID PERCEPTION OF THE ROAD ENVIRONMENT AND PREDICTION OF EVENTS,” presented at the 9th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Manchester Village, Vermont, 2017 [Online]. Available: http://drivingassessment.uiowa.edu/sites/default/files/DA2017/papers/33…

[12]
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

[13]
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

[14]
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

[15]
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

[16]
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

[17]
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

[18]
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

[19]
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

[20]
Leilani Henrina Gilpin and Ben Ze Yuan, “Getting Up to Speed on Vehicle Intelligence,” in 2017 AAAI Spring Symposium Series, Palo Alto, CA USA, 2017 [Online]. Available: https://aaai.org/ocs/index.php/SSS/SSS17/paper/view/15322/14599

[21]
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

[22]
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-…

[23]
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