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ORCIDJames J. Little
Jim Little 0001 – James Little 0001
Person information
- 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
Other persons with the same name
- Jim Little 0002 — University of Calgary, Canada
- Jim Little 0003 — Titanium I.T. LLC
- James Little 0002 — University College Cork, Department of Computer Science, Cork Constraint Computation Centre, Cork, Ireland (and 3 more)
- James Little 0003 — Keyeye Communications, Sacramento, CA, USA
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2020 – today
- 2024
[j30]Shih-Han Chou
, James J. Little, Leonid Sigal:
Implicit and explicit commonsense for multi-sentence video captioning. Comput. Vis. Image Underst. 247: 104064 (2024)- [c119]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CVPR 2024: 23470-23480 - [c118]Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Framework-agnostic Semantically-aware Global Reasoning for Segmentation. WACV 2024: 988-998 - [i24]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CoRR abs/2404.11732 (2024) - [i23]Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal:
MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). CoRR abs/2410.04778 (2024) - 2023
- [i22]Shih-Han Chou, James J. Little, Leonid Sigal:
Implicit and Explicit Commonsense for Multi-sentence Video Captioning. CoRR abs/2303.07545 (2023) - 2022
- [c117]Aritro Roy Arko, Jim Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. BMVC 2022: 139 - [c116]Shih-Han Chou, Zicong Fan, James J. Little, Leonid Sigal:
Semi-supervised Grounding Alignment for Multi-modal Feature Learning. CRV 2022: 48-57 - [c115]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 - [i21]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]Aritro Roy Arko, James J. Little, Kwang Moo Yi:
Bootstrapping Human Optical Flow and Pose. CoRR abs/2210.15121 (2022) - [i19]Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Semantically Enhanced Global Reasoning for Semantic Segmentation. CoRR abs/2212.03338 (2022) - 2021
- [c114]Alireza Shafaei, James J. Little, Mark Schmidt:
AutoRetouch: Automatic Professional Face Retouching. WACV 2021: 989-997 - [i18]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]Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little:
Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports 11(9): 45-63 (2021)
2010 – 2019
- 2019
- [c113]Alireza Shafaei, Mark Schmidt, James J. Little:
A Less Biased Evaluation of Out-of-distribution Sample Detectors. BMVC 2019: 3 - [c112]Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. BMVC 2019: 24 - [c111]Gursimran Singh, Leonid Sigal, James J. Little:
Spatio-temporal Relational Reasoning for Video Question Answering. BMVC 2019: 295 - [c110]Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. CVPR Workshops 2019: 2497-2504 - [c109]Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection From Internet Videos. WACV 2019: 1682-1691 - [i16]Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. CoRR abs/1907.08816 (2019) - [i15]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
- [j29]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]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) - [c108]Mir Rayat Imtiaz Hossain, James J. Little:
Exploiting Temporal Information for 3D Human Pose Estimation. ECCV (10) 2018: 69-86 - [c107]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]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]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]Jianhui Chen, Fangrui Zhu, James J. Little:
A Two-Point Method for PTZ Camera Calibration in Sports. WACV 2018: 287-295 - [c103]Jianhui Chen, Lili Meng, James J. Little:
Camera Selection for Broadcasting Soccer Games. WACV 2018: 427-435 - [i14]Jianhui Chen, Fangrui Zhu, James J. Little:
A Two-point Method for PTZ Camera Calibration in Sports. CoRR abs/1801.09005 (2018) - [i13]Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little:
Learning Sports Camera Selection from Internet Videos. CoRR abs/1809.02854 (2018) - [i12]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]Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. CoRR abs/1810.10658 (2018) - 2017
- [j27]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]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) - [c102]Keyu Lu, Jianhui Chen, James J. Little, Hangen He:
Light Cascaded Convolutional Neural Networks for Accurate Player Detection. BMVC 2017 - [c101]Moumita Roy Tora, Jianhui Chen, James J. Little:
Classification of Puck Possession Events in Ice Hockey. CVPR Workshops 2017: 147-154 - [c100]Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little:
A Simple Yet Effective Baseline for 3d Human Pose Estimation. ICCV 2017: 2659-2668 - [c99]Frederick Tung, James J. Little:
MF3D: Model-free 3D semantic scene parsing. ICRA 2017: 4596-4603 - [c98]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 - [i10]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]Keyu Lu, Jianhui Chen, James J. Little, Hangen He:
Light Cascaded Convolutional Neural Networks for Accurate Player Detection. CoRR abs/1709.10230 (2017) - [i8]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]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]Mir Rayat Imtiaz Hossain, James J. Little:
Exploiting temporal information for 3D pose estimation. CoRR abs/1711.08585 (2017) - 2016
- [j25]Frederick Tung, James J. Little:
Scene parsing by nonparametric label transfer of content-adaptive windows. Comput. Vis. Image Underst. 143: 191-200 (2016) - [c97]Frederick Tung, James J. Little:
SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. ACCV (1) 2016: 338-352 - [c96]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]Alireza Shafaei, James J. Little, Mark Schmidt:
Play and Learn: Using Video Games to Train Computer Vision Models. BMVC 2016 - [c94]Frederick Tung, James J. Little:
Factorized Binary Codes for Large-Scale Nearest Neighbor Search. BMVC 2016 - [c93]Alireza Shafaei, James J. Little:
Real-Time Human Motion Capture with Multiple Depth Cameras. CRV 2016: 24-31 - [c92]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]Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little:
Revisiting Additive Quantization. ECCV (2) 2016: 137-153 - [c90]Julieta Martinez, Holger H. Hoos, James J. Little:
Solving Multi-codebook Quantization in the GPU. ECCV Workshops (1) 2016: 638-650 - [c89]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 - [i5]Alireza Shafaei, James J. Little:
Real-Time Human Motion Capture with Multiple Depth Cameras. CoRR abs/1605.08068 (2016) - [i4]Alireza Shafaei, James J. Little, Mark Schmidt:
Play and Learn: Using Video Games to Train Computer Vision Models. CoRR abs/1608.01745 (2016) - 2015
- [j24]Frederick Tung, James J. Little:
Improving scene attribute recognition using web-scale object detectors. Comput. Vis. Image Underst. 138: 86-91 (2015) - [c88]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 - [r2]Jeffrey E. Boyd, James J. Little:
Gait Recognition, Silhouette-Based. Encyclopedia of Biometrics 2015: 813-820 - 2014
- [j23]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) - [c87]Ankur Gupta, Alireza Shafaei, James J. Little, Robert J. Woodham:
Unlabelled 3D Motion Examples Improve Cross-View Action Recognition. BMVC 2014 - [c86]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]Frederick Tung, James J. Little:
CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. ECCV (6) 2014: 511-525 - [c84]Junaed Sattar, James J. Little:
Ensuring safety in human-robot dialog - A cost-directed approach. ICRA 2014: 6660-6666 - [c83]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]Georgii Oleinikov, Gregor Miller, James J. Little, Sidney S. Fels:
Task-based control of articulated human pose detection for OpenVL. WACV 2014: 682-689 - [i3]Julieta Martinez, Holger H. Hoos, James J. Little:
Stacked Quantizers for Compositional Vector Compression. CoRR abs/1411.2173 (2014) - 2013
- [j22]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]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]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) - [c81]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]Tristram Southey, James J. Little:
3D spatial relationships for improving object detection. ICRA 2013: 140-147 - [c79]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]Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little:
Overcoming unknown occlusions in eye-in-hand visual search. ICRA 2013: 3075-3082 - [c77]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 - [i2]Kenji Okuma, David G. Lowe, James J. Little:
Self-Learning for Player Localization in Sports Video. CoRR abs/1307.7198 (2013) - 2012
- [c76]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 - [c75]Maodi Hu, Yunhong Wang, James J. Little:
Combinational Subsequence Matching for Human Identification from General Actions. ACCV (3) 2012: 453-464 - [c74]Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little:
Overcoming occlusions in eye-in-hand visual search. ACC 2012: 4102-4107 - [c73]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]David Meger, James J. Little:
The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition. ISER 2012: 979-991 - 2011
- [c71]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 - [c70]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]David Meger, Christian Wojek, James J. Little, Bernt Schiele:
Explicit Occlusion Reasoning for 3D Object Detection. BMVC 2011: 1-11 - [c68]Pooja Viswanathan, Tristram Southey, James J. Little, Alan K. Mackworth:
Place Classification Using Visual Object Categorization and Global Information. CRV 2011: 1-7 - [c67]Ankur Gupta, James J. Little, Robert J. Woodham:
Using Line and Ellipse Features for Rectification of Broadcast Hockey Video. CRV 2011: 32-39 - [c66]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]Ambrose Chan, Elizabeth A. Croft, James J. Little:
Constrained manipulator visual servoing (CMVS): Rapid robot programming in cluttered workspaces. IROS 2011: 2825-2830 - [c64]David Meger, James J. Little:
Mobile 3D object detection in clutter. IROS 2011: 4885-4892 - [c63]Kenji Okuma, Eric Brochu, David G. Lowe, James J. Little:
An Adaptive Interface for Active Localization. VISAPP 2011: 248-258 - 2010
- [j19]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) - [c62]Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe:
Multiple Viewpoint Recognition and Localization. ACCV (1) 2010: 464-477 - [c61]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]Pooja Viswanathan, Tristram Southey, James J. Little, Alan K. Mackworth:
Automated Place Classification Using Object Detection. CRV 2010: 324-330 - [c59]David Meger, Ankur Gupta, James J. Little:
Viewpoint detection models for sequential embodied object category recognition. ICRA 2010: 5055-5061
2000 – 2009
- 2009
- [j18]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]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]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) - [c58]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]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 - [r1]Jeffrey E. Boyd, James J. Little:
Gait Recognition, Silhouette-Based. Encyclopedia of Biometrics 2009: 646-652 - [i1]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) - 2008
- [j15]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]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) - [c56]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]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]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]Simon Léonard, Elizabeth A. Croft, James J. Little:
Dynamic visibility checking for vision-based motion planning. ICRA 2008: 2283-2288 - [c52]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]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
- [j13]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]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) - [c50]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]Hao Jiang, Sidney S. Fels, James J. Little:
A Linear Programming Approach for Multiple Object Tracking. CVPR 2007 - [c48]