 | 2012 |
|---|
| 48 |       | Roberto Manduchi,
James M. Coughlan:
(Computer) vision without sight.
Commun. ACM 55(1): 96-104 (2012) |
| 2011 |
|---|
| 47 | | Ender Tekin,
James M. Coughlan,
Huiying Shen:
Real-time detection and reading of LED/LCD displays for visually impaired persons.
WACV 2011: 491-496 |
| 46 | | Pannag R. Sanketi,
Huiying Shen,
James M. Coughlan:
Localizing blurry and low-resolution text in natural images.
WACV 2011: 503-510 |
| 2010 |
|---|
| 45 | | Pannag R. Sanketi,
James M. Coughlan:
Anti-blur feedback for visually impaired users of smartphone cameras.
ASSETS 2010: 233-234 |
| 44 | | Volodymyr Ivanchenko,
James M. Coughlan,
Huiying Shen:
Real-Time Walk Light Detection with a Mobile Phone.
ICCHP (2) 2010: 229-234 |
| 43 | | Ender Tekin,
James M. Coughlan:
A Mobile Phone Application Enabling Visually Impaired Users to Find and Read Product Barcodes.
ICCHP (2) 2010: 290-295 |
| 42 | | James M. Coughlan,
Huiying Shen:
An Embarrassingly Simple Speed-Up of Belief Propagation with Robust Potentials
CoRR abs/1010.0012: (2010) |
| 2009 |
|---|
| 41 | | Ender Tekin,
James M. Coughlan:
A Bayesian Algorithm for Reading 1D Barcodes.
CRV 2009: 61-67 |
| 40 | | Ender Tekin,
James M. Coughlan:
An algorithm enabling blind users to find and read barcodes.
WACV 2009: 1-8 |
| 39 | | Volodymyr Ivanchenko,
Huiying Shen,
James M. Coughlan:
Elevation-based MRF stereo implemented in real-time on a GPU.
WACV 2009: 1-8 |
| 38 | | Huiying Shen,
James M. Coughlan,
Volodymyr Ivanchenko:
Figure-ground segmentation using factor graphs.
Image Vision Comput. 27(7): 854-863 (2009) |
| 37 | | James M. Coughlan,
Roberto Manduchi:
Functional Assessment of a Camera Phone-Based Wayfinding System Operated by Blind and Visually Impaired Users.
International Journal on Artificial Intelligence Tools 18(3): 379-397 (2009) |
| 2008 |
|---|
| 36 | | Volodymyr Ivanchenko,
James M. Coughlan,
William Gerrey,
Huiying Shen:
Computer vision-based clear path guidance for blind wheelchair users.
ASSETS 2008: 291-292 |
| 35 | | Roberto Manduchi,
James M. Coughlan:
Portable and Mobile Systems in Assistive Technology.
ICCHP 2008: 1078-1080 |
| 34 | | Volodymyr Ivanchenko,
James M. Coughlan,
Huiying Shen:
Crosswatch: A Camera Phone System for Orienting Visually Impaired Pedestrians at Traffic Intersections.
ICCHP 2008: 1122-1128 |
| 33 | | Roberto Manduchi,
James M. Coughlan,
Volodymyr Ivanchenko:
Search Strategies of Visually Impaired Persons Using a Camera Phone Wayfinding System.
ICCHP 2008: 1135-1140 |
| 2007 |
|---|
| 32 | | Kee-Yip Chan,
Roberto Manduchi,
James M. Coughlan:
Accessible spaces: navigating through a marked environment with a camera phone.
ASSETS 2007: 229-230 |
| 31 | | James M. Coughlan,
Huiying Shen:
Terrain Analysis for Blind Wheelchair Users: Computer Vision Algorithms for Finding Curbs and other Negative Obstacles.
CVHI 2007 |
| 30 | | Huiying Shen,
James M. Coughlan:
Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone.
GbRPR 2007: 394-403 |
| 29 | | James M. Coughlan,
Huiying Shen:
Dynamic quantization for belief propagation in sparse spaces.
Computer Vision and Image Understanding 106(1): 47-58 (2007) |
| 2006 |
|---|
| 28 | | James M. Coughlan,
Roberto Manduchi,
Huiying Shen:
Computer Vision-Based Terrain Sensors for Blind Wheelchair Users.
ICCHP 2006: 1294-1297 |
| 27 | | Huiying Shen,
James M. Coughlan:
Finding Text in Natural Scenes by Figure-Ground Segmentation.
ICPR (4) 2006: 113-118 |
| 2004 |
|---|
| 26 | | Laura Walker Renninger,
James M. Coughlan,
Preeti Verghese,
Jitendra Malik:
An Information Maximization Model of Eye Movements.
NIPS 2004 |
| 2003 |
|---|
| 25 | | Anand Rangarajan,
James M. Coughlan,
Alan L. Yuille:
A Bayesian Network Framework for Relational Shape Matching.
ICCV 2003: 671-678 |
| 24 | | Scott Konishi,
Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu:
Statistical Edge Detection: Learning and Evaluating Edge Cues.
IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003) |
| 23 | | Alan L. Yuille,
James M. Coughlan,
Scott Konishi:
The Generic Viewpoint Assumption and Planar Bias.
IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 775-778 (2003) |
| 22 | | James M. Coughlan,
Alan L. Yuille:
Algorithms from statistical physics for generative models of images.
Image Vision Comput. 21(1): 29-36 (2003) |
| 21 | | Scott Konishi,
Alan L. Yuille,
James M. Coughlan:
A statistical approach to multi-scale edge detection.
Image Vision Comput. 21(1): 37-48 (2003) |
| 20 | | James M. Coughlan,
Alan L. Yuille:
Manhattan World: Orientation and Outlier Detection by Bayesian Inference.
Neural Computation 15(5): 1063-1088 (2003) |
| 2002 |
|---|
| 19 | | James M. Coughlan,
Sabino J. Ferreira:
Finding Deformable Shapes Using Loopy Belief Propagation.
ECCV (3) 2002: 453-468 |
| 18 | | James M. Coughlan,
Alan L. Yuille:
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking.
Neural Computation 14(8): 1929-1958 (2002) |
| 2001 |
|---|
| 17 |  | Alan L. Yuille,
James M. Coughlan,
Scott Konishi:
The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints.
ICCV 2001: 376-382 |
| 16 | | James M. Coughlan,
Alan L. Yuille:
The g Factor: Relating Distributions on Features to Distributions on Images.
NIPS 2001: 1231-1238 |
| 15 | | Alan L. Yuille,
James M. Coughlan,
Ying Nian Wu,
Song Chun Zhu:
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
International Journal of Computer Vision 41(1/2): 9-33 (2001) |
| 2000 |
|---|
| 14 | | Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu,
Ying Nian Wu:
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
CVPR 2000: 1558-1565 |
| 13 | | James M. Coughlan,
Alan L. Yuille:
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference.
NIPS 2000: 845-851 |
| 12 | | James M. Coughlan,
Alan L. Yuille,
Camper English,
Daniel Snow:
Efficient Deformable Template Detection and Localization without User Initialization.
Computer Vision and Image Understanding 78(3): 303-319 (2000) |
| 11 | | Alan L. Yuille,
James M. Coughlan:
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking.
IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 160-173 (2000) |
| 10 | | Alan L. Yuille,
James M. Coughlan:
An A* perspective on deterministic optimization for deformable templates.
Pattern Recognition 33(4): 603-616 (2000) |
| 1999 |
|---|
| 9 | | Scott Konishi,
Alan L. Yuille,
James M. Coughlan,
Song Chun Zhu:
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues.
CVPR 1999: 1573-1579 |
| 8 | | Alan L. Yuille,
James M. Coughlan:
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
CVPR 1999: 2631- |
| 7 | | James M. Coughlan,
Alan L. Yuille:
Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking.
EMMCVPR 1999: 189-204 |
| 6 | | James M. Coughlan,
Alan L. Yuille:
Manhattan World: Compass Direction from a Single Image by Bayesian Inference.
ICCV 1999: 941-947 |
| 1998 |
|---|
| 5 | | James M. Coughlan,
Alan L. Yuille,
Camper English,
Daniel Snow:
Efficient Optimization of a Deformable Template Using Dynamic Programming.
CVPR 1998: 747-752 |
| 4 | | Alan L. Yuille,
James M. Coughlan:
Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours.
NIPS 1998: 641-647 |
| 3 | | James M. Coughlan,
Alan L. Yuille:
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations.
NIPS 1998: 761-767 |
| 1997 |
|---|
| 2 | | Alan L. Yuille,
James M. Coughlan:
Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies.
EMMCVPR 1997: 197-212 |
| 1 | | Richard Szeliski,
James M. Coughlan:
Spline-Based Image Registration.
International Journal of Computer Vision 22(3): 199-218 (1997) |
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