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2013

Single image super-resolution using adaptive domain transformation

Singh, A. & Ahuja, N., Dec 1 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. p. 947-951 5 p. 6738196. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Image resolution
Interpolation
2014

Improving head and body pose estimation through semi-supervised manifold alignment

Heili, A., Varadarajan, J., Ghanem, B., Ahuja, N. & Odobez, J. M., Jan 28 2014, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 1912-1916 5 p. 7025383. (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Cameras
2012

Surface reflectance and normal estimation from photometric stereo

Yang, Q. & Ahuja, N., Jul 1 2012, In : Computer Vision and Image Understanding. 116, 7, p. 793-802 10 p.

Research output: Contribution to journalArticle

Color
Linear systems
Pixels
Experiments

Exploiting ramp structures for improving optical flow estimation

Singh, A. & Ahuja, N., Dec 1 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 2504-2507 4 p. 6460676. (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical flows
Luminance
Pixels
2013

Object tracking by occlusion detection via structured sparse learning

Zhang, T., Ghanem, B., Xu, C. & Ahuja, N., Oct 8 2013, Proceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013. p. 1033-1040 8 p. 6595996. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Lighting
Sports
2017

Clustering Through Hybrid Network Architecture With Support Vectors

Ergul, E., Arica, N., Ahuja, N. & Erturk, S., Jun 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 28, 6, p. 1373-1385 13 p., 7442845.

Research output: Contribution to journalArticle

Network architecture
Support vector machines
Tuning
Neural networks
Self organizing maps
2015

Structural Sparse Tracking

Zhang, T., Liu, S., Xu, C., Yan, S., Ghanem, B., Ahuja, N. & Yang, M. H., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 150-158 9 p. 7298610. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2013

Automatic recognition of offensive team formation in american football plays

Atmosukarto, I., Ghanem, B., AhujA, S., Muthuswamy, K. & Ahuja, N., Oct 8 2013, Proceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013. p. 991-998 8 p. 6595990. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sports
Statistics
Military applications
Software packages
2012

Online learning with kernels: Overcoming the growing sum problem

Singh, A., Ahuja, N. & Moulin, P., Dec 12 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2012. 6349811. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computational complexity
Signal processing
2010

SVM for edge-preserving filtering

Yang, Q., Wang, S. & Ahuja, N., Aug 31 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 1775-1782 8 p. 5539847. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Pixels
Convolution
Computational complexity
2013

A generative focus measure with application to omnifocus imaging

Kumar, A. & Ahuja, N., Aug 8 2013, 2013 IEEE International Conference on Computational Photography, ICCP 2013. 6528295. (2013 IEEE International Conference on Computational Photography, ICCP 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imaging techniques
Pixels
Convolution
Composite materials
2014

Occlusion detection via structured sparse learning for robust object tracking

Zhang, T., Ghanem, B., Xu, C. & Ahuja, N., Jan 1 2014, In : Advances in Computer Vision and Pattern Recognition. 71, p. 93-112 20 p.

Research output: Contribution to journalArticle

Pixels
Lighting
Sports

Low-level hierarchical multiscale segmentation statistics of natural images

Akbas, E. & Ahuja, N., Sep 2014, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 9, p. 1900-1906 7 p., 6710173.

Research output: Contribution to journalArticle

Segmentation
Statistics
Image segmentation
Image Segmentation
Graph in graph theory
2018

QL-Net: Quantized-by-LookUp CNN

Abdiyeva, K., Yap, K. H., Gang, W., Ahuja, N. & Lukac, M., Dec 18 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., p. 413-418 6 p. 8581119. (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Accumulate
Neural Networks
Neural networks
Multiplication
Codebook
2010

Real-time specular highlight removal using bilateral filtering

Yang, Q., Wang, S. & Ahuja, N., Jan 1 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 4 ed. Springer-Verlag, p. 87-100 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6314 LNCS, no. PART 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Filtering
Color
Real-time
Pixels
Pixel
2011

Pedestrian recognition with a learned metric

Dikmen, M., Akbas, E., Huang, T. S. & Ahuja, N., Mar 16 2011, Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers. PART 4 ed. p. 501-512 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6495 LNCS, no. PART 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rejection
Classifiers
Margin
Metric
Costs
2010

A constant-space belief propagation algorithm for stereo matching

Yang, Q., Wang, L. & Ahuja, N., Aug 31 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 1458-1465 8 p. 5539797. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Image resolution
Program processors
Pixels
Graphics processing unit

Machine vision condition monitoring of railcar structural underframe components

Hart, J. M., Schlake, B., Todorovic, S., Edwards, J. R., Ahuja, N. & Barkan, C. P. L., Jun 3 2010, Proceedings of the ASME Rail Transportation Division Fall Conference 2009. p. 161-168 8 p. (American Society of Mechanical Engineers, Rail Transportation Division (Publication) RTD).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Condition monitoring
Computer vision
Inspection
Railroads
Freight cars
2013

Evaluation of aggregate size and shape by means of segmentation techniques and aggregate image processing algorithms

Moaveni, M., Wang, S., Hart, J., Tutumluer, E. & Ahuja, N., Jan 12 2013, In : Transportation Research Record. 2335, p. 50-59 10 p.

Research output: Contribution to journalArticle

Image processing
Railroad tracks
Particle size
Camera lenses
Imaging techniques
2012

An edge-preserving filtering framework for visibility restoration

Bao, L., Song, Y., Yang, Q. & Ahuja, N., Dec 1 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 384-387 4 p. 6460152. (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Visibility
Restoration
Low pass filters
Textures
Median filters
2014

Robust Visual Tracking Via Consistent Low-Rank Sparse Learning

Zhang, T., Liu, S., Ahuja, N., Yang, M. H. & Ghanem, B., Jan 1 2014, In : International Journal of Computer Vision. 111, 2, p. 171-190 20 p.

Research output: Contribution to journalArticle

Glossaries

Recognizing team formation in american football

Atmosukarto, I., Ghanem, B., Saadalla, M. & Ahuja, N., Jan 1 2014, In : Advances in Computer Vision and Pattern Recognition. 71, p. 271-291 21 p.

Research output: Contribution to journalArticle

Statistics
Sports
Software packages
2015

Super-resolution using sub-band self-similarity

Singh, A. & Ahuja, N., Jan 1 2015, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers. Yang, M-H., Saito, H., Cremers, D. & Reid, I. (eds.). Springer-Verlag, p. 552-568 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9004).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Super-resolution
Self-similarity
Glossaries
Patch
Image resolution
2014

Generalized radial alignment constraint for camera calibration

Kumar, A. & Ahuja, N., Dec 4 2014, Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 184-189 6 p. 6976752. (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cameras
Calibration
Optics
Sensors
2010

Supervised and unsupervised clustering with probabilistic shift

Shetty, S. & Ahuja, N., Jan 1 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 5 ed. Springer-Verlag, p. 644-657 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6315 LNCS, no. PART 5).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Unsupervised Clustering
Directed graphs
Digit
Directed Graph
Clustering
2012

Exploiting nonlocal spatiotemporal structure for video segmentation

Cheng, H. T. & Ahuja, N., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 741-748 8 p. 6247744. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Labeling
Redundancy
Random variables
Textures
2014

Sub-band energy constraints for self-similarity based super-resolution

Singh, A. & Ahuja, N., Dec 4 2014, Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 4447-4452 6 p. 6977474. (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Band structure
Textures
Glossaries
Optical resolving power
Image resolution
2010
Conjugate gradient method
Convex optimization
Computational efficiency
Iterative methods
Computer programming
2015

Efficient and robust specular highlight removal

Yang, Q., Tang, J. & Ahuja, N., Jun 1 2015, In : IEEE transactions on pattern analysis and machine intelligence. 37, 6, p. 1304-1311 8 p., 6915741.

Research output: Contribution to journalArticle

Pixel
Bilateral Filter
Color
Low-pass Filter
Image Denoising
2019

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Lai, W. S., Huang, J. B., Ahuja, N. & Yang, M. H., Nov 1 2019, In : IEEE transactions on pattern analysis and machine intelligence. 41, 11, p. 2599-2613 15 p., 8434354.

Research output: Contribution to journalArticle

Super-resolution
Pyramid
Image resolution
Image reconstruction
Image quality
2012

Robust visual tracking via multi-task sparse learning

Zhang, T., Ghanem, B., Liu, S. & Ahuja, N., Oct 1 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 2042-2049 8 p. 6247908. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gradient methods
Glossaries
Computational complexity
Lighting
2018

Superpixel hierarchy

Wei, X., Yang, Q., Gong, Y., Ahuja, N. & Yang, M. H., Oct 2018, In : IEEE Transactions on Image Processing. 27, 10, p. 4838-4849 12 p.

Research output: Contribution to journalArticle

Computer vision
Detectors
2015

Uncovering interactions and interactors: Joint estimation of head, body orientation and f-formations from surveillance videos

Ricci, E., Varadarajan, J., Subramanian, R., Bulo, S. R., Ahuja, N. & Lanz, O., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 4660-4668 9 p. 7410886. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cameras
Experiments
2014

Automatic segmentation of granular objects in images: Combining local density clustering and gradient-barrier watershed

Yang, H. & Ahuja, N., Jun 1 2014, In : Pattern Recognition. 47, 6, p. 2266-2279 14 p.

Research output: Contribution to journalArticle

Watersheds
Object recognition
Nanoparticles
Edge detection
Image processing
2012

Low-rank sparse learning for robust visual tracking

Zhang, T., Ghanem, B., Liu, S. & Ahuja, N., Oct 30 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 6 ed. p. 470-484 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7577 LNCS, no. PART 6).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Visual Tracking
Glossaries
Template
Lighting
Linear Representation
2013

Fusion of median and bilateral filtering for range image upsampling

Yang, Q., Ahuja, N., Yang, R., Tan, K. H., Davis, J., Culbertson, B., Apostolopoulos, J. & Wang, G., Oct 14 2013, In : IEEE Transactions on Image Processing. 22, 12, p. 4841-4852 12 p., 6582517.

Research output: Contribution to journalArticle

Fusion reactions
Sensors
Agglomeration
Cameras
Color
2014

Super-resolving noisy images

Singh, A., Porikli, F. & Ahuja, N., Sep 24 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 2846-2853 8 p. 6909760. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image resolution
Textures
Pipelines
Recovery
Processing
2013

Automated visual inspection of railroad tracks

Resendiz, E., Hart, J. M. & Ahuja, N., Jan 30 2013, In : IEEE Transactions on Intelligent Transportation Systems. 14, 2, p. 751-760 10 p., 6419832.

Research output: Contribution to journalArticle

Railroad tracks
Inspection
Computer vision
Signal processing
Defects
2019

Joint image filtering with deep convolutional networks

Li, Y., Huang, J. B., Ahuja, N. & Yang, M. H., Aug 1 2019, In : IEEE transactions on pattern analysis and machine intelligence. 41, 8, p. 1909-1923 15 p., 8598855.

Research output: Contribution to journalArticle

Image Filtering
Neural networks
Guidance
Filter
Target
2012

Robust multi-object tracking via cross-domain contextual information for sports video analysis

Zhang, T., Ghanem, B. & Ahuja, N., Oct 23 2012, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. p. 985-988 4 p. 6288050. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sports
Trajectories
Cameras
Image resolution
Lighting
2017

Active online anomaly detection using dirichlet process mixture model and Gaussian process classification

Varadarajan, J., Subramanian, R., Ahuja, N., Moulin, P. & Odobez, J. M., May 11 2017, Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017. Institute of Electrical and Electronics Engineers Inc., p. 615-623 9 p. 7926657. (Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Unsupervised learning
Video streaming
Labels
Problem-Based Learning
2015

Learning ramp transformation for single image super-resolution

Singh, A. & Ahuja, N., Jun 1 2015, In : Computer Vision and Image Understanding. 135, p. 109-125 17 p.

Research output: Contribution to journalArticle

Luminance
Pixels
Color
Recovery
2010

From ramp discontinuities to segmentation tree

Akbas, E. & Ahuja, N., Dec 29 2010, Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1 ed. p. 123-134 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5994 LNCS, no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Discontinuity
Segmentation
Seed
Labeling
Data structures
2014

Generalized pupil-centric imaging and analytical calibration for a non-frontal camera

Kumar, A. & Ahuja, N., Sep 24 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 3970-3977 8 p. 6909902. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cameras
Calibration
Imaging techniques
Sensors
Parameterization
2017

On the essence of unsupervised detection of anomalous motion in surveillance videos

Abuolaim, A. A., Leow, W. K., Varadarajan, J. & Ahuja, N., Jan 1 2017, Computer Analysis of Images and Patterns - 17th International Conference, CAIP 2017, Proceedings. Heyden, A., Felsberg, M. & Kruger, N. (eds.). Springer-Verlag, p. 160-171 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10424 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Video Surveillance
Anomalous
Motion
Anomaly Detection
Surveillance
2012

Learning human preferences to sharpen images

Nam, M. & Ahuja, N., 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 2173-2176 4 p. 6460593

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2010

A hemispherical imaging camera

Gao, C., Hua, H. & Ahuja, N., Feb 1 2010, In : Computer Vision and Image Understanding. 114, 2, p. 168-178 11 p.

Research output: Contribution to journalArticle

Cameras
Imaging techniques
Sensors
Mirrors
Prisms
2019

Clustering as physically inspired energy minimization

Yang, H. & Ahuja, N., Feb 2019, In : Pattern Recognition. 86, p. 265-280 16 p.

Research output: Contribution to journalArticle

Clustering algorithms
Mean field theory
Integer programming
Experiments
Bandwidth
2017

Deep laplacian pyramid networks for fast and accurate super-resolution

Lai, W. S., Huang, J. B., Ahuja, N. & Yang, M. H., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 5835-5843 9 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image resolution
Convolution
Computational complexity
Interpolation
Neural networks
2013

Modeling dynamic swarms

Ghanem, B. & Ahuja, N., Jan 1 2013, In : Computer Vision and Image Understanding. 117, 1, p. 1-11 11 p.

Research output: Contribution to journalArticle

Birds
Linear transformations
Image segmentation
Animals
Robots