{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:38Z","timestamp":1750221038477,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,11,5]],"date-time":"2018-11-05T00:00:00Z","timestamp":1541376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,11,5]]},"DOI":"10.1145\/3240765.3243493","type":"proceedings-article","created":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T13:36:57Z","timestamp":1541511417000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust object estimation using generative-discriminative inference for secure robotics applications"],"prefix":"10.1145","author":[{"given":"Yanqi","family":"Liu","sequence":"first","affiliation":[{"name":"Brown University"}]},{"given":"Alessandro","family":"Costantini","sequence":"additional","affiliation":[{"name":"Brown University"}]},{"given":"R. Iris","family":"Bahar","sequence":"additional","affiliation":[{"name":"Brown University"}]},{"given":"Zhiqiang","family":"Sui","sequence":"additional","affiliation":[{"name":"University of Michigan"}]},{"given":"Zhefan","family":"Ye","sequence":"additional","affiliation":[{"name":"University of Michigan"}]},{"given":"Shiyang","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Michigan"}]},{"given":"Odest Chadwicke","family":"Jenkins","sequence":"additional","affiliation":[{"name":"University of Michigan"}]}],"member":"320","published-online":{"date-parts":[[2018,11,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Davide Del Testa","author":"Bojarski Mariusz","year":"2016","unstructured":"Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Matthew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs\/1604.07316 (2016). arXiv:1604.07316 http:\/\/arxiv.org\/abs\/1604.07316"},{"key":"e_1_3_2_1_2_1","volume-title":"Towards evaluating the robustness of neural networks. arXiv preprint arXiv:1608.04644","author":"Carlini Nicholas","year":"2016","unstructured":"Nicholas Carlini and David Wagner. 2016. Towards evaluating the robustness of neural networks. arXiv preprint arXiv:1608.04644 (2016)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806348"},{"key":"e_1_3_2_1_4_1","volume-title":"Sachin Chitta, Radu Bogdan Rusu, and Ioan A \u015eucan.","author":"Ciocarlie Matei","year":"2014","unstructured":"Matei Ciocarlie, Kaijen Hsiao, Edward Gil Jones, Sachin Chitta, Radu Bogdan Rusu, and Ioan A \u015eucan. 2014. Towards reliable grasping and manipulation in household environments. In Experimental Robotics. Springer Berlin Heidelberg, 241--252."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911401765"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/33517.33575"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-2.1993.0015"},{"key":"e_1_3_2_1_12_1","volume-title":"Andreas ten Pas, and Robert Platt Jr","author":"Gualtieri Marcus","year":"2017","unstructured":"Marcus Gualtieri, Andreas ten Pas, and Robert Platt Jr. 2017. Category Level Pick and Place Using Deep Reinforcement Learning. CoRR abs\/1707.05615 (2017). arXiv:1707.05615 http:\/\/arxiv.org\/abs\/1707.05615"},{"volume-title":"2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). 598--605","author":"Gualtieri M.","key":"e_1_3_2_1_13_1","unstructured":"M. Gualtieri, A. ten Pas, K. Saenko, and R. Platt. 2016. High precision grasp pose detection in dense clutter. In 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). 598--605."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"S. Hinterstoisser V. Lepetit S. Ilic S. Holzer G. Bradski K. Konolige and N. Navab. 2012. Model Based Training Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. (2012).","DOI":"10.1007\/978-3-642-33885-4_60"},{"key":"e_1_3_2_1_16_1","volume-title":"Densebox: Unifying landmark localization with end to end object detection. arXiv preprint arXiv:1509.04874","author":"Huang Lichao","year":"2015","unstructured":"Lichao Huang, Yi Yang, Yafeng Deng, and Yinan Yu. 2015. Densebox: Unifying landmark localization with end to end object detection. arXiv preprint arXiv:1509.04874 (2015)."},{"key":"e_1_3_2_1_17_1","volume-title":"Adversarial attacks on neural network policies. arXiv preprint arXiv:1702.02284","author":"Huang Sandy","year":"2017","unstructured":"Sandy Huang, Nicolas Papernot, Ian Goodfellow, Yan Duan, and Pieter Abbeel. 2017. Adversarial attacks on neural network policies. arXiv preprint arXiv:1702.02284 (2017)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105.","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_1_19_1","volume-title":"Adversarial examples in the physical world. arXiv preprint arXiv:1607.02533","author":"Kurakin Alexey","year":"2016","unstructured":"Alexey Kurakin, Ian Goodfellow, and Samy Bengio. 2016. Adversarial examples in the physical world. arXiv preprint arXiv:1607.02533 (2016)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907298"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980382"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_23_1","volume-title":"A Pyramid CNN for Dense-Leaves Segmentation. arXiv preprint arXiv:1804.01646","author":"Morris Daniel D","year":"2018","unstructured":"Daniel D Morris. 2018. A Pyramid CNN for Dense-Leaves Segmentation. arXiv preprint arXiv:1804.01646 (2018)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.023"},{"key":"e_1_3_2_1_25_1","volume-title":"Derek Hoiem and Rob Fergus","author":"Nathan Silberman Pushmeet Kohli","year":"2012","unstructured":"Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus. 2012. Indoor Segmentation and Support Inference from RGBD Images. In ECCV."},{"key":"e_1_3_2_1_26_1","volume-title":"Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. arXiv preprint arXiv:1807.02188","author":"Panda Priyadarshini","year":"2018","unstructured":"Priyadarshini Panda and Kaushik Roy. 2018. Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. arXiv preprint arXiv:1807.02188 (2018)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911436019"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"e_1_3_2_1_29_1","volume-title":"You only look once: Unified, real-time object detection. arXiv preprint arXiv:1506.02640","author":"Redmon Joseph","year":"2015","unstructured":"Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2015. You only look once: Unified, real-time object detection. arXiv preprint arXiv:1506.02640 (2015)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","unstructured":"Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster R-CNN: Towards real-time object detection with region proposal networks. In Advances in Neural Information Processing Systems. 91--99.","DOI":"10.5555\/2969239.2969250"},{"key":"e_1_3_2_1_31_1","volume-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229","author":"Sermanet Pierre","year":"2013","unstructured":"Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, and Yann LeCun. 2013. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229 (2013)."},{"key":"e_1_3_2_1_32_1","volume-title":"Girshick","author":"Shrivastava Abhinav","year":"2016","unstructured":"Abhinav Shrivastava, Abhinav Gupta, and Ross B. Girshick. 2016. Training Region-based Object Detectors with Online Hard Example Mining. CoRR abs\/1604.03540 (2016). arXiv:1604.03540 http:\/\/arxiv.org\/abs\/1604.03540"},{"key":"e_1_3_2_1_33_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2012.2205651"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206164"},{"key":"e_1_3_2_1_36_1","volume-title":"Zhefan Ye Zhou, and Odest Chadwicke Jenkins","author":"Sui Zhiqiang","year":"2018","unstructured":"Zhiqiang Sui, Zhefan Ye Zhou, and Odest Chadwicke Jenkins. 2018. Never Mind the Bounding Boxes, Here's the SAND Filters. arXiv preprint arXiv:1808.04969 (2018)."},{"key":"e_1_3_2_1_37_1","volume-title":"Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199","author":"Szegedy Christian","year":"2013","unstructured":"Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013. Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199 (2013)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","unstructured":"Andreas ten Pas Marcus Gualtieri Kate Saenko and Robert Platt. {n. d.}. Grasp pose detection in point clouds. The International Journal of Robotics Research ({n. d.}) 0278364917735594. 10.1177\/0278364917735594","DOI":"10.1177\/0278364917735594"},{"volume-title":"Experimental Robotics","author":"Pas Andreas Ten","key":"e_1_3_2_1_39_1","unstructured":"Andreas Ten Pas and Robert Platt. 2016. Localizing handle-like grasp affordances in 3d point clouds. In Experimental Robotics. Springer, 623--638."},{"key":"e_1_3_2_1_40_1","volume-title":"International Symposium on Intelligent Computing Systems. Springer, 16--30","author":"Uli\u010dn\u1ef3 Matej","year":"2016","unstructured":"Matej Uli\u010dn\u1ef3, Jens Lundstr\u00f6m, and Stefan Byttner. 2016. Robustness of deep convolutional neural networks for image recognition. In International Symposium on Intelligent Computing Systems. Springer, 16--30."},{"volume-title":"2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). 4415--4420","author":"Varley J.","key":"e_1_3_2_1_41_1","unstructured":"J. Varley, J. Weisz, J. Weiss, and P. Allen. 2015. Generating multi-fingered robotic grasps via deep learning. In 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). 4415--4420."},{"key":"e_1_3_2_1_42_1","volume-title":"PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes","author":"Xiang Yu","year":"2018","unstructured":"Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox. 2018. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. Robotics: Science and Systems (RSS) (2018)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.485"}],"event":{"name":"ICCAD '18: IEEE\/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN","sponsor":["IEEE-EDS Electronic Devices Society","IEEE CAS","IEEE CEDA"],"location":"San Diego California","acronym":"ICCAD '18"},"container-title":["Proceedings of the International Conference on Computer-Aided Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240765.3243493","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240765.3243493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:43:44Z","timestamp":1750207424000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240765.3243493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,5]]},"references-count":44,"alternative-id":["10.1145\/3240765.3243493","10.1145\/3240765"],"URL":"https:\/\/doi.org\/10.1145\/3240765.3243493","relation":{},"subject":[],"published":{"date-parts":[[2018,11,5]]},"assertion":[{"value":"2018-11-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}