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James J. Little

Jim Little 0001 – James Little 0001

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affiliation: University of British Columbia, Vancouver, Canada
affiliation: Massachusetts Institute of Technology (MIT), Artificial Intelligence Laboratory, Cambridge, MA, USA
affiliation: Simon Fraser University, Department of Geography, Burnaby, Canada

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Journal Articles

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2018
[j29]
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Keyu Lu, Jianhui Chen, James J. Little, Hangen He:
Lightweight convolutional neural networks for player detection and classification. Comput. Vis. Image Underst. 172: 77-87 (2018)
[j28]
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Sina Radmard, David Meger, James J. Little, Elizabeth A. Croft:
Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. IEEE Trans. Robotics 34(3): 616-629 (2018)
2017
[j27]
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Jianhui Chen, James J. Little:
Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model. Comput. Vis. Image Underst. 159: 59-73 (2017)
[j26]
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Frederick Tung, Jianhui Chen, Lili Meng, James J. Little:
The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night. IEEE Robotics Autom. Lett. 2(4): 2188-2193 (2017)
2016
[j25]
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Frederick Tung, James J. Little:
Scene parsing by nonparametric label transfer of content-adaptive windows. Comput. Vis. Image Underst. 143: 191-200 (2016)
2015
[j24]
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Frederick Tung, James J. Little:
Improving scene attribute recognition using web-scale object detectors. Comput. Vis. Image Underst. 138: 86-91 (2015)
2014
[j23]
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Masaki Takahashi, Masahide Naemura, Mahito Fujii, James J. Little:
Recognizing Human Actions in Basketball Video Sequences on the Basis of Global and Local Pairwise Representation. Int. J. Multim. Data Eng. Manag. 5(3): 28-46 (2014)
2013
[j22]
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Wei-Lwun Lu, Jo-Anne Ting, James J. Little, Kevin P. Murphy:
Learning to Track and Identify Players from Broadcast Sports Videos. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1704-1716 (2013)
[j21]
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Maodi Hu, Yunhong Wang, Zhaoxiang Zhang, De Zhang, James J. Little:
Incremental Learning for Video-Based Gait Recognition With LBP Flow. IEEE Trans. Cybern. 43(1): 77-89 (2013)
[j20]
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Maodi Hu, Yunhong Wang, Zhaoxiang Zhang, James J. Little, Di Huang:
View-Invariant Discriminative Projection for Multi-View Gait-Based Human Identification. IEEE Trans. Inf. Forensics Secur. 8(12): 2034-2045 (2013)
2010
[j19]
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Matthew A. Baumann, Simon Léonard, Elizabeth A. Croft, James J. Little:
Path Planning for Improved Visibility Using a Probabilistic Road Map. IEEE Trans. Robotics 26(1): 195-200 (2010)
2009
[j18]
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Robert Sim, James J. Little:
Autonomous vision-based robotic exploration and mapping using hybrid maps and particle filters. Image Vis. Comput. 27(1-2): 167-177 (2009)
[j17]
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Wei-Lwun Lu, Kenji Okuma, James J. Little:
Tracking and recognizing actions of multiple hockey players using the boosted particle filter. Image Vis. Comput. 27(1-2): 189-205 (2009)
[j16]
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Wei-Lwun Lu, Kevin P. Murphy, James J. Little, Alla Sheffer, Hongbo Fu:
A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 47(8-2): 2913-2922 (2009)
2008
[j15]
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David Meger, Per-Erik Forssén, Kevin Lai, Scott Helmer, Sancho McCann, Tristram Southey, Matthew A. Baumann, James J. Little, David G. Lowe:
Curious George: An attentive semantic robot. Robotics Auton. Syst. 56(6): 503-511 (2008)
[j14]
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Hao Jiang, Sidney S. Fels, James J. Little:
Optimizing Multiple Object Tracking and Best View Video Synthesis. IEEE Trans. Multim. 10(6): 997-1012 (2008)
2007
[j13]
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Robert Sim, Pantelis Elinas, James J. Little:
A Study of the Rao-Blackwellised Particle Filter for Efficient and Accurate Vision-Based SLAM. Int. J. Comput. Vis. 74(3): 303-318 (2007)
[j12]
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Jesse Hoey, James J. Little:
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1118-1132 (2007)
2005
[j11]
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Stephen Se, David G. Lowe, James J. Little:
Vision-based global localization and mapping for mobile robots. IEEE Trans. Robotics 21(3): 364-375 (2005)
2003
[j10]
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  - journals/geoinformatica/LittleS03
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James J. Little, Ping Shi:
Ordering Points for Incremental TIN Construction from DEMs. GeoInformatica 7(1): 33-53 (2003)
2002
[j9]
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  - journals/ijrr/SeLL02
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Stephen Se, David G. Lowe, Jim Little:
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks. Int. J. Robotics Res. 21(8): 735-760 (2002)
2001
[j8]
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James J. Little, Ping Shi:
Structural Lines, TINs, and DEMs. Algorithmica 30(2): 243-263 (2001)
2000
[j7]
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  - journals/arobots/MurrayL00
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Don Ray Murray, James J. Little:
Using Real-Time Stereo Vision for Mobile Robot Navigation. Auton. Robots 8(2): 161-171 (2000)
1999
[j6]
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  - journals/ijcv/LuL99
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Jiping Lu, James J. Little:
Reflectance and Shape from Images Using a Collinear Light Source. Int. J. Comput. Vis. 32(3): 213-240 (1999)
1994
[j5]
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  - journals/jcss/BlellochL94
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Guy E. Blelloch, James J. Little:
Parallel Solutions to Geometric Problems in the Scan Model of Computation. J. Comput. Syst. Sci. 48(1): 90-115 (1994)
1993
[j4]
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Michael Bolotski, Rod Barman, James J. Little, Daniel Camporese:
Silt: A distributed bit-parallel architecture for early vision. Int. J. Comput. Vis. 11(1): 63-74 (1993)
1990
[j3]
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  - journals/ivc/LittleG90
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James J. Little, Walter E. Gillett:
Direct evidence for occlusion in stereo and motion. Image Vis. Comput. 8(4): 328-340 (1990)
1989
[j2]
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James J. Little, Guy E. Blelloch, Todd A. Cass:
Algorithmic Techniques for Computer Vision on a Fine-Grained Parallel Machine. IEEE Trans. Pattern Anal. Mach. Intell. 11(3): 244-257 (1989)
1988
[j1]
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  - journals/nn/BulthoffLM88
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Heinrich H. Bülthoff, James J. Little, Hanspeter A. Mallot:
Neural mapping and parallel optical flow computation for autonomous navigation. Neural Networks 1(Supplement-1): 482 (1988)

Conference and Workshop Papers

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2024
[c118]
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Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Framework-agnostic Semantically-aware Global Reasoning for Segmentation. WACV 2024: 988-998
2022
[c117]
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  - conf/bmvc/Arko0Y22
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Aritro Roy Arko, Jim Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. BMVC 2022: 139
[c116]
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  - conf/crv/ChouFLS22
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Shih-Han Chou, Zicong Fan, James J. Little, Leonid Sigal:
Semi-supervised Grounding Alignment for Multi-modal Feature Learning. CRV 2022: 48-57
[c115]
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  - conf/cvpr/WandtLR22
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Bastian Wandt, James J. Little, Helge Rhodin:
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses. CVPR 2022: 6625-6635
2021
[c114]
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  - conf/wacv/ShafaeiL021
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Alireza Shafaei, James J. Little, Mark Schmidt:
AutoRetouch: Automatic Professional Face Retouching. WACV 2021: 989-997
2019
[c113]
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Alireza Shafaei, Mark Schmidt, James J. Little:
A Less Biased Evaluation of Out-of-distribution Sample Detectors. BMVC 2019: 3
[c112]
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Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. BMVC 2019: 24
[c111]
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Gursimran Singh, Leonid Sigal, James J. Little:
Spatio-temporal Relational Reasoning for Video Question Answering. BMVC 2019: 295
[c110]
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Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. CVPR Workshops 2019: 2497-2504
[c109]
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Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection From Internet Videos. WACV 2019: 1682-1691
2018
[c108]
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  - conf/eccv/HossainL18
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Mir Rayat Imtiaz Hossain, James J. Little:
Exploiting Temporal Information for 3D Human Pose Estimation. ECCV (10) 2018: 69-86
[c107]
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  - conf/eccv/MartinezZHL18
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Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little:
LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization. ECCV (16) 2018: 508-523
[c106]
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  - conf/iros/MengTLVS18
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Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. IROS 2018: 6827-6834
[c105]
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  - conf/iscas/Shojaei-Hashemi18
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Anahita Shojaei-Hashemi, Panos Nasiopoulos, James J. Little, Mahsa T. Pourazad:
Video-based Human Fall Detection in Smart Homes Using Deep Learning. ISCAS 2018: 1-5
[c104]
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Jianhui Chen, Fangrui Zhu, James J. Little:
A Two-Point Method for PTZ Camera Calibration in Sports. WACV 2018: 287-295
[c103]
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Jianhui Chen, Lili Meng, James J. Little:
Camera Selection for Broadcasting Soccer Games. WACV 2018: 427-435
2017
[c102]
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Keyu Lu, Jianhui Chen, James J. Little, Hangen He:
Light Cascaded Convolutional Neural Networks for Accurate Player Detection. BMVC 2017
[c101]
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  - conf/cvpr/ToraCL17
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Moumita Roy Tora, Jianhui Chen, James J. Little:
Classification of Puck Possession Events in Ice Hockey. CVPR Workshops 2017: 147-154
[c100]
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  - conf/iccv/MartinezHRL17
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Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little:
A Simple Yet Effective Baseline for 3d Human Pose Estimation. ICCV 2017: 2659-2668
[c99]
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Frederick Tung, James J. Little:
MF3D: Model-free 3D semantic scene parsing. ICRA 2017: 4596-4603
[c98]
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Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Backtracking regression forests for accurate camera relocalization. IROS 2017: 6886-6893
2016
[c97]
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  - conf/accv/TungL16
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Frederick Tung, James J. Little:
SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. ACCV (1) 2016: 338-352
[c96]
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Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Clarence W. de Silva:
Exploiting Random RGB and Sparse Features for Camera Pose Estimation. BMVC 2016
[c95]
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Alireza Shafaei, James J. Little, Mark Schmidt:
Play and Learn: Using Video Games to Train Computer Vision Models. BMVC 2016
[c94]
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Frederick Tung, James J. Little:
Factorized Binary Codes for Large-Scale Nearest Neighbor Search. BMVC 2016
[c93]
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Alireza Shafaei, James J. Little:
Real-Time Human Motion Capture with Multiple Depth Cameras. CRV 2016: 24-31
[c92]
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Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little:
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees. CVPR 2016: 4688-4696
[c91]
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  - conf/eccv/MartinezCHL16
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Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little:
Revisiting Additive Quantization. ECCV (2) 2016: 137-153
[c90]
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Julieta Martinez, Holger H. Hoos, James J. Little:
Solving Multi-codebook Quantization in the GPU. ECCV Workshops (1) 2016: 638-650
[c89]
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Ankur Gupta, John He, Julieta Martinez, James J. Little, Robert J. Woodham:
Efficient video-based retrieval of human motion with flexible alignment. WACV 2016: 1-9
2015
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Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little:
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV 2015: 566-571
2014
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Ankur Gupta, Alireza Shafaei, James J. Little, Robert J. Woodham:
Unlabelled 3D Motion Examples Improve Cross-View Action Recognition. BMVC 2014
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Ankur Gupta, Julieta Martinez, James J. Little, Robert J. Woodham:
3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding. CVPR 2014: 2601-2608
[c85]
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Frederick Tung, James J. Little:
CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. ECCV (6) 2014: 511-525
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Junaed Sattar, James J. Little:
Ensuring safety in human-robot dialog - A cost-directed approach. ICRA 2014: 6660-6666
[c83]
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Julieta Martinez, James J. Little, Nando de Freitas:
Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search. WACV 2014: 588-595
[c82]
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Georgii Oleinikov, Gregor Miller, James J. Little, Sidney S. Fels:
Task-based control of articulated human pose detection for OpenVL. WACV 2014: 682-689
2013
[c81]
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Daniel Troniak, Junaed Sattar, Ankur Gupta, James J. Little, Wesley P. Chan, Ergun Calisgan, Elizabeth A. Croft, H. F. Machiel Van der Loos:
Charlie Rides the Elevator - Integrating Vision, Navigation and Manipulation towards Multi-floor Robot Locomotion. CRV 2013: 1-8
[c80]
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Tristram Southey, James J. Little:
3D spatial relationships for improving object detection. ICRA 2013: 140-147
[c79]
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Ambrose Chan, Elizabeth A. Croft, James J. Little:
Modeling nonconvex workspace constraints from diverse demonstration sets for Constrained Manipulator Visual Servoing. ICRA 2013: 3062-3068
[c78]
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Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little:
Overcoming unknown occlusions in eye-in-hand visual search. ICRA 2013: 3075-3082
[c77]
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Masaki Takahashi, Masahide Naemura, Mahito Fujii, James J. Little:
Recognition of Action in Broadcast Basketball Videos on the Basis of Global and Local Pairwise Representation. ISM 2013: 147-154
2012
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Pooja Viswanathan, James J. Little, Alan K. Mackworth, Alex Mihailidis:
An Intelligent Powered Wheelchair for Users with Dementia: Case Studies with NOAH (Navigation and Obstacle Avoidance Help). AAAI Fall Symposium: Artificial Intelligence for Gerontechnology 2012
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Maodi Hu, Yunhong Wang, James J. Little:
Combinational Subsequence Matching for Human Identification from General Actions. ACCV (3) 2012: 453-464
[c74]
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Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little:
Overcoming occlusions in eye-in-hand visual search. ACC 2012: 4102-4107
[c73]
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Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller:
Fine-Grained Categorization for 3D Scene Understanding. BMVC 2012: 1-12
[c72]
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David Meger, James J. Little:
The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition. ISER 2012: 979-991
2011
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Ambrose Chan, Simon Léonard, Elizabeth A. Croft, James J. Little:
Collision-free visual servoing of an eye-in-hand manipulator via constraint-aware planning and control. ACC 2011: 4642-4648
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Pooja Viswanathan, James J. Little, Alan K. Mackworth, Alex Mihailidis:
Navigation and obstacle avoidance help (NOAH) for older adults with cognitive impairment: a pilot study. ASSETS 2011: 43-50
[c69]
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David Meger, Christian Wojek, James J. Little, Bernt Schiele:
Explicit Occlusion Reasoning for 3D Object Detection. BMVC 2011: 1-11
[c68]
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Pooja Viswanathan, Tristram Southey, James J. Little, Alan K. Mackworth:
Place Classification Using Visual Object Categorization and Global Information. CRV 2011: 1-7
[c67]
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Ankur Gupta, James J. Little, Robert J. Woodham:
Using Line and Ellipse Features for Rectification of Broadcast Hockey Video. CRV 2011: 32-39
[c66]
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Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little:
Identifying players in broadcast sports videos using conditional random fields. CVPR 2011: 3249-3256
[c65]
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Ambrose Chan, Elizabeth A. Croft, James J. Little:
Constrained manipulator visual servoing (CMVS): Rapid robot programming in cluttered workspaces. IROS 2011: 2825-2830
[c64]
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David Meger, James J. Little:
Mobile 3D object detection in clutter. IROS 2011: 4885-4892
[c63]
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Kenji Okuma, Eric Brochu, David G. Lowe, James J. Little:
An Adaptive Interface for Active Localization. VISAPP 2011: 248-258
2010
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Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe:
Multiple Viewpoint Recognition and Localization. ACCV (1) 2010: 464-477
[c61]
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David Meger, Marius Muja, Scott Helmer, Ankur Gupta, Catherine Gamroth, Tomas Hoffman, Matthew A. Baumann, Tristram Southey, Pooyan Fazli, Walter Wohlkinger, Pooja Viswanathan, James J. Little, David G. Lowe, James Orwell:
Curious George: An Integrated Visual Search Platform. CRV 2010: 107-114
[c60]
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Pooja Viswanathan, Tristram Southey, James J. Little, Alan K. Mackworth:
Automated Place Classification Using Object Detection. CRV 2010: 324-330
[c59]
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David Meger, Ankur Gupta, James J. Little:
Viewpoint detection models for sequential embodied object category recognition. ICRA 2010: 5055-5061
2009
[c58]
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Pooja Viswanathan, David Meger, Tristram Southey, James J. Little, Alan K. Mackworth:
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search. CRV 2009: 284-291
[c57]
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Simon Léonard, Elizabeth A. Croft, James J. Little:
Planning collision-free and occlusion-free paths for industrial manipulators with eye-to-hand configuration. IROS 2009: 5083-5088
2008
[c56]
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Pooja Viswanathan, Alan K. Mackworth, James Little, Jesse Hoey, Alex Mihailidis:
NOAH for Wheelchair Users with Cognitive Impairment: Navigation and Obstacle Avoidance Help. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems 2008: 150-152
[c55]
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Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo Fu:
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data. CRV 2008: 203-210
[c54]
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Per-Erik Forssén, David Meger, Kevin Lai, Scott Helmer, James J. Little, David G. Lowe:
Informed visual search: Combining attention and object recognition. ICRA 2008: 935-942
[c53]
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  - conf/icra/LeonardCL08
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Simon Léonard, Elizabeth A. Croft, James J. Little:
Dynamic visibility checking for vision-based motion planning. ICRA 2008: 2283-2288
[c52]
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Ambrose Chan, Elizabeth A. Croft, James J. Little:
Trajectory specification via sparse waypoints for eye-in-hand robots requiring continuous target visibility. ICRA 2008: 3082-3087
[c51]
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  - conf/iros/BaumannDLCL08
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Matthew A. Baumann, Donna C. Dupuis, Simon Léonard, Elizabeth A. Croft, James J. Little:
Occlusion-free path planning with a probabilistic roadmap. IROS 2008: 2151-2156
2007
[c50]
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Scott Helmer, David Meger, Per-Erik Forssén, Tristram Southey, Sancho McCann, Pooyan Fazli, Jim Little, David G. Lowe:
The UBC Semantic Robot Vision System. AAAI 2007: 1983-1984
[c49]
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Hao Jiang, Sidney S. Fels, James J. Little:
A Linear Programming Approach for Multiple Object Tracking. CVPR 2007
[c48]
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Changsong Shen, Sidney S. Fels, James J. Little:
OpenVL: Towards A Novel Software Architecture for Computer Vision. CVPR 2007
[c47]
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  - conf/iros/ElinasL07
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Pantelis Elinas, James J. Little:
Decision theoretic task coordination for a visually-guided interactive mobile robot. IROS 2007: 4108-4114
[c46]
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  - conf/isvc/DarbandiIL07
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H. B. Darbandi, Mabo Robert Ito, James Little:
Surface Signature-Based Method for Modeling and Recognizing Free-Form Objects. ISVC (2) 2007: 447-458
2006
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H. B. Darbandi, Mabo Robert Ito, James Little:
Flatness and Orientation Signature for Modeling and Matching 3D Objects. 3DPVT 2006: 161-167
[c44]
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Wei-Lwun Lu, James J. Little:
Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor. CRV 2006: 6
[c43]
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  - conf/crv/SimEGSL06
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Robert Sim, Pantelis Elinas, Matt Griffin, Alex Shyr, James J. Little:
Design and analysis of a framework for real-time vision-based SLAM using Rao-Blackwellised particle filters. CRV 2006: 21
[c42]
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James J. Little, Jesse Hoey, Pantelis Elinas:
Visual Capabilities in an Interactive Autonomous Robot. Cognitive Vision Systems 2006: 295-312
[c41]
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Yizheng Cai, Nando de Freitas, James J. Little:
Robust Visual Tracking for Multiple Targets. ECCV (4) 2006: 107-118
[c40]
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Pantelis Elinas, Robert Sim, James J. Little:
σSLAM: Stereo Vision SLAM using the Rao-Blackwellised Particle Filter and a Novel Mixture Proposal Distribution. ICRA 2006: 1564-1570
[c39]
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Robert Sim, James J. Little:
Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters. IROS 2006: 2082-2089
2005
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Lin Zhong, James J. Little:
Photometric Stereo via Locality Sensitive High-Dimension Hashing. CRV 2005: 104-111
[c37]
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  - conf/rss/ElinasL05
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Pantelis Elinas, James J. Little:
σMCL: Monte-Carlo Localization for Mobile Robots with Stereo Vision. Robotics: Science and Systems 2005: 373-380
[c36]
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Don Ray Murray, James J. Little:
Patchlets: Representing Stereo Vision Data with Surface Elements. WACV/MOTION 2005: 192-199
2004
[c35]
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Don Ray Murray, James J. Little:
Segmenting Correlation Stereo Range Images using Surface Elements. 3DPVT 2004: 656-663
[c34]
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  - conf/cvpr/HoeyL04
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Jesse Hoey, James J. Little:
Value Directed Learning of Gestures and Facial Displays. CVPR (2) 2004: 1026-1033
[c33]
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Jesse Hoey, James J. Little:
Decision Theoretic Modeling of Human Facial Displays. ECCV (3) 2004: 26-38
[c32]
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  - conf/eccv/OkumaTFLL04
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Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, David G. Lowe:
A Boosted Particle Filter: Multitarget Detection and Tracking. ECCV (1) 2004: 28-39
[c31]
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Don Ray Murray, James J. Little:
Environment modeling with stereo vision. IROS 2004: 3116-3122
2003
[c30]
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  - conf/ac/BoydL03
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Jeffrey E. Boyd, James J. Little:
Biometric Gait Recognition. Advanced Studies in Biometrics 2003: 19-42
[c29]
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Jesse Hoey, James J. Little:
Bayesian Clustering of Optical Flow Fields. ICCV 2003: 1086-1093
2002
[c28]
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Pantelis Elinas, Jesse Hoey, Darrell Lahey, Jefferson D. Montgomery, Don Ray Murray, Stephen Se, James J. Little:
Waiting with José, a Vision-Based Mobile Robot. ICRA 2002: 3698-3705
[c27]
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Stephen Se, David G. Lowe, Jim Little:
Vision-based mapping with backward correction. IROS 2002: 153-158
[c26]
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Stephen Se, David G. Lowe, Jim Little:
Global localization using distinctive visual features. IROS 2002: 226-231
2001
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Stephen Se, David G. Lowe, Jim Little:
Vision-based Mobile Robot Localization And Mapping using Scale-Invariant Features. ICRA 2001: 2051-2058
[c24]
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Stephen Se, David G. Lowe, Jim Little:
Local and global localization for mobile robots using visual landmarks. IROS 2001: 414-420
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James J. Little, Zhe Gu:
Video retrieval by spatial and temporal structure of trajectories. Storage and Retrieval for Media Databases 2001: 545-552
2000
[c22]
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Jesse Hoey, James J. Little:
Representation and Recognition of Complex Human Motion. CVPR 2000: 1752-1759
[c21]
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Jeffrey E. Boyd, James J. Little:
Phase in Model-Free Perception of Gait. Workshop on Human Motion 2000: 3-10
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James J. Little:
Deforming Surface Features Lines in Intrinsic Coordinates. ICPR 2000: 1291-1294
1999
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Cullen Jennings, Don Ray Murray, James J. Little:
Cooperative Robot Localization with Vision-Based Mapping. ICRA 1999: 2659-2665
1998
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James J. Little, Jiping Lu, Don Ray Murray:
Selecting stable image features for robot localization using stereo. IROS 1998: 1072-1077
[c17]
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James J. Little, Ping Shi:
Structural lines for triangulations of terrain. WACV 1998: 188-193
1997
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  - conf/hicss/TucakovSMMLKJB97
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Vladimir Tucakov, Michael Sahota, Don Ray Murray, Alan K. Mackworth, Jim Little, Stewart Kingdon, Cullen Jennings, Rod Barman:
Spinoza: A Stereoscopic Visually Guided Mobile Robot. HICSS (5) 1997: 188-197
1996
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Jiping Lu, Jim Little:
Geometric and Photometric Constraints for Surface Recovery. CVPR 1996: 694-700
1995
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Jiping Lu, Jim Little:
Reflectance Function Estimation and Shape Recovery from Image Sequence of a Rotating Object. ICCV 1995: 80-
1994
[c13]
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Jeffrey E. Boyd, James J. Little:
Complementary data fusion for limited-angle tomography. CVPR 1994: 288-294
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Esfandiar Bandari, James J. Little:
Cooperative Analysis of Multiple Frames by Visual Echoes. ICIP (3) 1994: 766-770
[c11]
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James J. Little:
Vision servers and their clients. ICPR (3) 1994: 295-299
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Andrew Naiberg, James J. Little:
A unified recognition and stereo vision system for size assessment of fish. WACV 1994: 2-9
1993
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Esfandiar Bandari, James J. Little:
Visual echo analysis. ICCV 1993: 220-225
1992
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Esfandiar Bandari, James Little:
Spatial-quefrency approach to optical echo analysis. CVPR 1992: 850-852
1990
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James J. Little, Walter E. Gillett:
Direct Evidence for Occlusion in Stereo and Motion. ECCV 1990: 336-340
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Rod Barman, Michael Bolotski, Daniel Camporese, James J. Little:
Silt: the bit-parallel approach. ICPR (2) 1990: 332-336
1988
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James J. Little, Heinrich H. Bülthoff, Tomaso A. Poggio:
Parallel Optical Flow Using Local Voting. ICCV 1988: 454-459
1985
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James J. Little:
Extended Gaussian images, mixed volumes, shape reconstruction. SCG 1985: 15-23
[c3]
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James J. Little:
Determining Object Attitude from Extended Gaussian Images. IJCAI 1985: 960-963
1983
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James J. Little:
An Iterative Method for Reconstructing Convex Polyhedra From External Guassian Images. AAAI 1983: 247-250
1979
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Robert J. Fowler, James J. Little:
Automatic extraction of Irregular Network digital terrain models. SIGGRAPH 1979: 199-207

Reference Works

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2015
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Jeffrey E. Boyd, James J. Little:
Gait Recognition, Silhouette-Based. Encyclopedia of Biometrics 2015: 813-820
2009
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Jeffrey E. Boyd, James J. Little:
Gait Recognition, Silhouette-Based. Encyclopedia of Biometrics 2009: 646-652

Informal and Other Publications

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2023
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Shih-Han Chou, James J. Little, Leonid Sigal:
Implicit and Explicit Commonsense for Multi-sentence Video Captioning. CoRR abs/2303.07545 (2023)
2022
[i21]
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Abiramy Kuganesan, Shih-Yang Su, James J. Little, Helge Rhodin:
UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields. CoRR abs/2206.11952 (2022)
[i20]
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Aritro Roy Arko, James J. Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. CoRR abs/2210.15121 (2022)
[i19]
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Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Semantically Enhanced Global Reasoning for Semantic Segmentation. CoRR abs/2212.03338 (2022)
2021
[i18]
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  - journals/corr/abs-2112-07088
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Bastian Wandt, James J. Little, Helge Rhodin:
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses. CoRR abs/2112.07088 (2021)
[i17]
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Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little:
Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports 11(9): 45-63 (2021)
2019
[i16]
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Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. CoRR abs/1907.08816 (2019)
[i15]
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Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little:
OptiBox: Breaking the Limits of Proposals for Visual Grounding. CoRR abs/1912.00076 (2019)
2018
[i14]
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  - journals/corr/abs-1801-09005
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Jianhui Chen, Fangrui Zhu, James J. Little:
A Two-point Method for PTZ Camera Calibration in Sports. CoRR abs/1801.09005 (2018)
[i13]
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Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection from Internet Videos. CoRR abs/1809.02854 (2018)
[i12]
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Alireza Shafaei, Mark Schmidt, James J. Little:
Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors. CoRR abs/1809.04729 (2018)
[i11]
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Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. CoRR abs/1810.10658 (2018)
2017
[i10]
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  - journals/corr/MartinezHRL17
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Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little:
A simple yet effective baseline for 3d human pose estimation. CoRR abs/1705.03098 (2017)
[i9]
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  - journals/corr/abs-1709-10230
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Keyu Lu, Jianhui Chen, James J. Little, Hangen He:
Light Cascaded Convolutional Neural Networks for Accurate Player Detection. CoRR abs/1709.10230 (2017)
[i8]
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Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Backtracking Regression Forests for Accurate Camera Relocalization. CoRR abs/1710.07965 (2017)
[i7]
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Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva:
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. CoRR abs/1710.10519 (2017)
[i6]
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Mir Rayat Imtiaz Hossain, James J. Little:
Exploiting temporal information for 3D pose estimation. CoRR abs/1711.08585 (2017)
2016
[i5]
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Alireza Shafaei, James J. Little:
Real-Time Human Motion Capture with Multiple Depth Cameras. CoRR abs/1605.08068 (2016)
[i4]
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Alireza Shafaei, James J. Little, Mark Schmidt:
Play and Learn: Using Video Games to Train Computer Vision Models. CoRR abs/1608.01745 (2016)
2014
[i3]
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Julieta Martinez, Holger H. Hoos, James J. Little:
Stacked Quantizers for Compositional Vector Compression. CoRR abs/1411.2173 (2014)
2013
[i2]
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  - journals/corr/OkumaLL13
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Kenji Okuma, David G. Lowe, James J. Little:
Self-Learning for Player Localization in Sports Video. CoRR abs/1307.7198 (2013)
2009
[i1]
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  - journals/corr/abs-0908-2656
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Scott Helmer, David Meger, Pooja Viswanathan, Sancho McCann, Matthew Dockrey, Pooyan Fazli, Tristram Southey, Marius Muja, Michael Joya, Jim Little, David G. Lowe, Alan K. Mackworth:
Semantic Robot Vision Challenge: Current State and Future Directions. CoRR abs/0908.2656 (2009)

Coauthor Index

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