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ORCIDMichael A. Greenspan
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- affiliation: Queen's University, Kingston, Canada
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2020 – today
- 2024
[c68]Yangzheng Wu
, Michael A. Greenspan:
Pseudo-Keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation. ECCV (60) 2024: 37-56- [c67]Yangzheng Wu, Michael A. Greenspan:
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation. WACV 2024: 553-563 - [i27]Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad:
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients. CoRR abs/2405.16304 (2024) - [i26]Nishq Poorav Desai, Ali Etemad, Michael A. Greenspan:
CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis. CoRR abs/2409.19942 (2024) - 2023
- [j22]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13523-13535 (2023) - [c66]Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) 2023: 11226-11238 - [c65]Andrew Farley, Mohsen Zand, Michael A. Greenspan:
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection. CRV 2023: 169-176 - [c64]Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. ICIP 2023: 2535-2539 - [c63]Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. ICIP 2023: 2685-2689 - [i25]Andrew Farley, Mohsen Zand, Michael A. Greenspan:
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection. CoRR abs/2305.09401 (2023) - [i24]Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework. CoRR abs/2306.13275 (2023) - [i23]Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. CoRR abs/2306.15117 (2023) - [i22]Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer. CoRR abs/2307.03786 (2023) - [i21]Yangzheng Wu, Michael A. Greenspan:
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation. CoRR abs/2308.07827 (2023) - [i20]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction. CoRR abs/2308.16801 (2023) - [i19]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Diffusion Models with Deterministic Normalizing Flow Priors. CoRR abs/2309.01274 (2023) - [i18]Yangzheng Wu, Michael A. Greenspan:
Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation. CoRR abs/2311.09500 (2023) - 2022
- [j21]Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan:
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. Trans. Assoc. Comput. Linguistics 10: 240-256 (2022) - [j20]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c62]Yangzheng Wu, Alireza Javaheri, Mohsen Zand, Michael A. Greenspan:
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation. 3DV 2022: 176-186 - [c61]Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. ECCV (10) 2022: 335-352 - [c60]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. ECCV (10) 2022: 390-406 - [c59]Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Multiscale Crowd Counting and Localization By Multitask Point Supervision. ICASSP 2022: 1820-1824 - [i17]Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Multiscale Crowd Counting and Localization By Multitask Point Supervision. CoRR abs/2202.09942 (2022) - [i16]Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan:
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. CoRR abs/2203.04857 (2022) - [i15]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. CoRR abs/2207.06985 (2022) - [i14]Yangzheng Wu, Alireza Javaheri, Mohsen Zand, Michael A. Greenspan:
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation. CoRR abs/2210.08123 (2022) - [i13]Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR abs/2210.15456 (2022) - 2021
- [j19]Mirza Tahir Ahmed, Sheikh Ziauddin, Joshua A. Marshall, Michael A. Greenspan:
Point Cloud Registration Using Virtual Interest Points from Macaulay's Resultant of Quadric Surfaces. J. Math. Imaging Vis. 63(4): 457-471 (2021) - [j18]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Depth as Attention for Face Representation Learning. IEEE Trans. Inf. Forensics Secur. 16: 2461-2476 (2021) - [c58]Yufei Feng, Michael A. Greenspan, Xiaodan Zhu:
Enhancing Pretrained Models with Domain Knowledge. Canadian AI 2021 - [c57]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI 2021 - [c56]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. ICCV 2021: 3651-3660 - [c55]Joy Mazumder, Mohsen Zand, Michael A. Greenspan:
Multistream Validnet: Improving 6D Object Pose Estimation by Automatic Multistream Validation. ICIP 2021: 3143-3147 - [c54]Ghani O. Lawal, Michael A. Greenspan:
Procam Calibration from a Single Pose of a Planar Target. VISIGRAPP (5: VISAPP) 2021: 817-827 - [i12]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Depth as Attention for Face Representation Learning. CoRR abs/2101.00652 (2021) - [i11]Ghani O. Lawal, Michael A. Greenspan:
Procam Calibration from a Single Pose of a Planar Target. CoRR abs/2102.11395 (2021) - [i10]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. CoRR abs/2104.02424 (2021) - [i9]Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. CoRR abs/2104.02527 (2021) - [i8]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-based Autoregressive Structured Prediction of Human Motion. CoRR abs/2104.04391 (2021) - [i7]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. CoRR abs/2104.11854 (2021) - [i6]Joy Mazumder, Mohsen Zand, Michael A. Greenspan:
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation. CoRR abs/2106.06684 (2021) - 2020
- [c53]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. COLING 2020: 1172-1185 - [c52]Avery Cole, Sheikh Ziauddin, Jonathon Malcolm, Michael A. Greenspan:
Efficient Range Sensing Using Imperceptible Structured Light. VISIGRAPP (Revised Selected Papers) 2020: 241-267 - [c51]Kevin Huang, Sheikh Ziauddin, Mohsen Zand, Michael A. Greenspan:
One Shot Radial Distortion Correction by Direct Linear Transformation. ICIP 2020: 473-477 - [c50]Iqbal Singh, Xiaodan Zhu, Michael A. Greenspan:
Multi-Modal Fusion With Observation Points For Skeleton Action Recognition. ICIP 2020: 1781-1785 - [c49]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition. ICPR 2020: 10120-10127 - [c48]Joy Mazumder, Mohsen Zand, Sheikh Ziauddin, Michael A. Greenspan:
ValidNet: A Deep Learning Network for Validation of Surface Registration. VISIGRAPP (4: VISAPP) 2020: 389-397 - [c47]Avery Cole, Sheikh Ziauddin, Michael A. Greenspan:
High-speed Imperceptible Structured Light Depth Mapping. VISIGRAPP (4: VISAPP) 2020: 676-684 - [c46]Yubo Qiu, Jonathon Malcolm, Abhay Vatoo, Sheikh Ziauddin, Michael A. Greenspan:
Inverse Rectification for Efficient Procam Pattern Correspondence. WACV 2020: 699-707 - [i5]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. CoRR abs/2003.00168 (2020) - [i4]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020) - [i3]Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell:
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR abs/2010.09788 (2020) - [i2]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. CoRR abs/2011.04044 (2020)
2010 – 2019
- 2017
- [c45]Mirza Tahir Ahmed, Joshua A. Marshall, Michael A. Greenspan:
Point Cloud Registration with Virtual Interest Points from Implicit Quadric Surface Intersections. 3DV 2017: 649-657 - 2015
- [c44]Mustafa Mohamad, Mirza Tahir Ahmed, David Rappaport, Michael A. Greenspan:
Super Generalized 4PCS for 3D Registration. 3DV 2015: 598-606 - [c43]Mirza Tahir Ahmed, Mustafa Mohamad, Joshua A. Marshall, Michael A. Greenspan:
Registration of Noisy Point Clouds Using Virtual Interest Points. CRV 2015: 31-38 - [c42]Edith Deretey, Mirza Tahir Ahmed, Joshua A. Marshall, Michael A. Greenspan:
Visual indoor positioning with a single camera using PnP. IPIN 2015: 1-9 - 2014
- [j17]Kevin Hughes, Heshan Fernando, Greg Szkilnyk, Brian Surgenor, Michael A. Greenspan:
Video event detection for fault monitoring in assembly automation. Int. J. Intell. Syst. Technol. Appl. 13(1/2): 103-116 (2014) - [j16]Rui Zhang, Weiguo Gong, Victor Grzeda, Andrew Yaworski, Michael A. Greenspan:
Scene Dynamics Estimation for Parameter Adjustment of Gaussian Mixture Models. IEEE Signal Process. Lett. 21(9): 1130-1134 (2014) - [c41]Mustafa Mohamad, David Rappaport, Michael A. Greenspan:
Generalized 4-Points Congruent Sets for 3D Registration. 3DV 2014: 83-90 - [c40]Dwaipayan Sinha, Mirza Tahir Ahmed, Michael A. Greenspan:
Image Retrieval Using Landmark Indexing for Indoor Navigation. CRV 2014: 63-70 - 2013
- [c39]Joseph Lam, Michael A. Greenspan:
3D Object Recognition by Surface Registration of Interest Segments. 3DV 2013: 199-206 - [c38]Mustafa Mohamad, Kresimir Kusevic, Paul Mrstik, Michael A. Greenspan:
Automatic Rail Extraction in Terrestrial and Airborne LiDAR Data. 3DV 2013: 303-309 - [c37]Salar Awan, Mustafa Muhamad, Kresimir Kusevic, Paul Mrstik, Michael A. Greenspan:
Object Class Recognition in Mobile Urban Lidar Data Using Global Shape Descriptors. 3DV 2013: 350-357 - [c36]Kevin Hughes, Victor Grzeda, Michael A. Greenspan:
Eigenbackground Bootstrapping. CRV 2013: 196-201 - 2012
- [c35]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds. 3DIMPVT 2012: 501-508 - [c34]Joseph Lam, Michael A. Greenspan:
On the Repeatability of 3D Point Cloud Segmentation Based on Interest Points. CRV 2012: 9-16 - [c33]Joseph Lam, Michael A. Greenspan:
Shape matching of repeatable interest segments in 3D point clouds. CVPR Workshops 2012: 25-32 - [c32]Rui Zhang, Weiguo Gong, Andrew Yaworski, Michael A. Greenspan:
Nonparametric on-line background generation for surveillance video. ICPR 2012: 1177-1180 - [c31]Diego Macrini, Chris Whiten, Robert Laganière, Michael A. Greenspan:
Probabilistic shape parsing for view-based object recognition. ICPR 2012: 2303-2305 - [i1]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds. CoRR abs/1209.1759 (2012) - 2011
- [j15]Babak Taati, Michael A. Greenspan:
Local shape descriptor selection for object recognition in range data. Comput. Vis. Image Underst. 115(5): 681-694 (2011) - [j14]Hong Li, Michael A. Greenspan:
Model-based segmentation and recognition of dynamic gestures in continuous video streams. Pattern Recognit. 44(8): 1614-1628 (2011) - 2010
- [j13]Christopher Archibald, Alon Altman, Michael A. Greenspan, Yoav Shoham:
Computational Pool: A New Challenge for Game Theory Pragmatics. AI Mag. 31(4): 33-41 (2010) - [j12]Limin Shang, Michael A. Greenspan:
Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding. Int. J. Comput. Vis. 89(2-3): 211-228 (2010) - [c30]Samuel Jordan, Michael A. Greenspan:
Projector optical distortion calibration using Gray code patterns. CVPR Workshops 2010: 72-79
2000 – 2009
- 2009
- [c29]Michael Belshaw, Michael A. Greenspan:
A high speed iterative closest point tracker on an FPGA platform. ICCV Workshops 2009: 1449-1456 - [c28]Yani Ioannou, Limin Shang, Robin Harrap, Michael A. Greenspan:
Local PotentialWell Space Embedding. ICCV Workshops 2009: 1726-1732 - 2008
- [j11]Michael A. Greenspan, Joseph Lam, Marc Godard, Imran Zaidi, Sam Jordan, Will Leckie, Ken Anderson, Donna C. Dupuis:
Toward a Competitive Pool-Playing Robot. Computer 41(1): 46-53 (2008) - [c27]Joseph Lam, Michael A. Greenspan:
Eye-In-Hand Visual Servoing for Accurate Shooting in Pool Robotics. CRV 2008: 11-17 - 2007
- [j10]Limin Shang, Piotr Jasiobedzki, Michael A. Greenspan:
Model-Based Tracking by Classification in a Tiny Discrete Pose Space. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 976-989 (2007) - [c26]Babak Taati, Michel Bondy, Piotr Jasiobedzki, Michael A. Greenspan:
Automatic Registration for Model Building using Variable Dimensional Local Shape Descriptors. 3DIM 2007: 265-272 - [c25]Limin Shang, Michael A. Greenspan:
Pose Determination By PotentialWell Space Embedding. 3DIM 2007: 297-304 - [c24]Michael A. Greenspan, Joseph Lam, Will Leckie, Marc Godard, Imran Zaidi, Ken Anderson, Donna C. Dupuis, Sam Jordan:
Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool? CIG 2007: 380-388 - [c23]Babak Taati, Michel Bondy, Piotr Jasiobedzki, Michael A. Greenspan:
Variable Dimensional Local Shape Descriptors for Object Recognition in Range Data. ICCV 2007: 1-8 - [c22]Shawn Zhang, Michael A. Greenspan:
Variable Homography Compensation of Parallax Along Mosaic Seams. ICIAR 2007: 271-284 - [c21]Hong Li, Michael A. Greenspan:
Segmentation and Recognition of Continuous Gestures. ICIP (1) 2007: 365-368 - [c20]Joseph Lam, Michael A. Greenspan:
An iterative algebraic approach to TCF matrix estimation. IROS 2007: 3848-3853 - 2006
- [j9]Will Leckie, Michael A. Greenspan:
Pool Physics Simulation by Event Prediction 2: Collisions. J. Int. Comput. Games Assoc. 29(1): 24-31 (2006) - [j8]Babak Taati, Michael A. Greenspan, Kamal Gupta:
A Dynamic Load-Balancing Parallel Search for Enumerative Robot Path Planning. J. Intell. Robotic Syst. 47(1): 55-85 (2006) - [j7]Liping Ingrid Wang, Michael A. Greenspan, Randy E. Ellis:
Validation of bone segmentation and improved 3-D registration using contour coherency in CT data. IEEE Trans. Medical Imaging 25(3): 324-334 (2006) - [c19]Will Leckie, Michael A. Greenspan:
An Event-Based Pool Physics Simulator. ACG 2006: 247-262 - [c18]Will Leckie, Michael A. Greenspan:
Monte-Carlo Methods in Pool Strategy Game Trees. Computers and Games 2006: 244-255 - [c17]Joseph Lam, Fei Long, Gerhard Roth, Michael A. Greenspan:
Determining Shot Accuracy of a Robotic Pool System. CRV 2006: 23 - [c16]Michael A. Greenspan, Liping Ingrid Wang, Randy E. Ellis:
Validation and Improved Registration of Bone Segmentation Using Contour Coherency. EMBC 2006: 244-247 - 2005
- [j6]Will Leckie, Michael A. Greenspan:
Pool Physics Simulation by Event Prediction 1: Motion Transitions. J. Int. Comput. Games Assoc. 28(4): 214-222 (2005) - [j5]Weiguang Yao, Purang Abolmaesumi, Michael A. Greenspan, Randy E. Ellis:
An Estimation/Correction Algorithm for Detecting Bone Edges in CT Images. IEEE Trans. Medical Imaging 24(8): 997-1010 (2005) - [c15]Limin Shang, Piotr Jasiobedzki, Michael A. Greenspan:
Discrete Pose Space Estimation to Improve ICP-Based Tracking. 3DIM 2005: 523-530 - [c14]Hong Li, Michael A. Greenspan:
Multi-Scale Gesture Recognition from Time-Varying Contours. ICCV 2005: 236-243 - [c13]Ian Fraser, Michael A. Greenspan:
Color Indexing by Nonparametric Statistics. ICIAR 2005: 694-702 - 2004
- [c12]Michael A. Greenspan, Limin Shang, Piotr Jasiobedzki:
Efficient Tracking with the Bounded Hough Transform. CVPR (1) 2004: 520-527 - [c11]Fei Long, Johan Herland, Marie-Christine Tessier, Darryl Naulls, Andrew Roth, Gerhard Roth, Michael A. Greenspan:
Robotic pool: an experiment in automatic potting. IROS 2004: 2520-2525 - 2003
- [c10]Michael A. Greenspan, Mike Yurick:
Approximate K-D Tree Search for Efficient ICP. 3DIM 2003: 442-448 - 2002
- [j4]Michael A. Greenspan:
Geometric Probing of Dense Range Data. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 495-508 (2002) - 2001
- [j3]Ian Gipson, Kamal Gupta, Michael A. Greenspan:
MPK: An open extensible motion planning kernel. J. Field Robotics 18(8): 433-443 (2001) - [c9]Michael A. Greenspan, Guy Godin:
A Nearest Neighbor Method for Efficient ICP. 3DIM 2001: 161-170 - [c8]Christian Langis, Michael A. Greenspan, Guy Godin:
The Parallel Iterative Closest Point Algorithm. 3DIM 2001: 195-204 - [c7]Chang Shu, Michael A. Greenspan, Guy Godin:
Nearest neighbor search through function minimization. CCCG 2001: 157-160 - 2000
- [c6]Marc Rioux, François Blais, J.-Angelo Beraldin, Guy Godin, Pierre Boulanger, Michael A. Greenspan:
Beyond Range Sensing: XYZ-RGB Digitizing and Modeling. ICRA 2000: 111-115
1990 – 1999
- 1999
- [j2]Pamela Renton, Michael A. Greenspan, Hoda A. ElMaraghy, Hassen Zghal:
Plan-N-Scan: A Robotic System for Collision-Free Autonomous Exploration and Workspace Mapping. J. Intell. Robotic Syst. 24(3): 207-234 (1999) - [j1]Eric Gagnon, Jean-François Rivest, Michael A. Greenspan, Nestor Burtnyk:
A computer-assisted range image registration system for nuclear waste cleanup. IEEE Trans. Instrum. Meas. 48(3): 758-762 (1999) - [c5]D. G. Lamb, D. L. Baird, Michael A. Greenspan:
An Automation System for Industrial 3-D Laser Digitizing. 3DIM 1999: 148-159 - [c4]Michael A. Greenspan, Pierre Boulanger:
Efficient and Reliable Template Set Matching for 3D Object Recognition. 3DIM 1999: 230-239 - 1998
- [c3]Michael A. Greenspan:
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition. CVPR 1998: 772-779 - 1997
- [c2]Michael A. Greenspan, John Ballantyne, Mike Lipsett:
Sticky and slippery collision avoidance for tele-excavation. IROS 1997: 1666-1671 - 1996
- [c1]Michael A. Greenspan, Nestor Burtnyk:
Obstacle count independent real-time collision avoidance. ICRA 1996: 1073-1080
Coauthor Index
Ali Etemad
aka: S. Ali Etemad
aka: S. Ali Etemad
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