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A Comparative Study for Single Image Blind Deblurring

Lai, W. S., Huang, J. B., Hu, Z., Ahuja, N. & Yang, M. H., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 1701-1709 9 p. 7780557. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

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

Image quality
Gages
Cameras

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

Action recognition using discriminative structured trajectory groups

Atmosukarto, I., Ahuja, N. & Ghanem, B., Feb 19 2015, Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., p. 899-906 8 p. 7045978. (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).

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

Trajectories
Support vector machines

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

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

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

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

Aperture access and manipulation for computational imaging

Shu, X., Gao, C. & Ahuja, N., Feb 1 2012, In : Computer Vision and Image Understanding. 116, 2, p. 222-237 16 p.

Research output: Contribution to journalArticle

Imaging techniques
Lenses
Imaging systems
Sampling

A topic model approach to represent and classify american football plays

Varadarajan, J., Atmosukarto, I., Ahuja, S., Ghanem, B. & Ahuja, N., Jan 1 2013.

Research output: Contribution to conferencePaper

Trajectories
Planning

A uniform framework for estimating illumination chromaticity, correspondence, and specular reflection

Yang, Q., Wang, S., Ahuja, N. & Yang, R., Jan 1 2011, In : IEEE Transactions on Image Processing. 20, 1, p. 53-63 11 p., 5497278.

Research output: Contribution to journalArticle

Lighting

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

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

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

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

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

Constant Time Median and Bilateral Filtering

Yang, Q., Ahuja, N. & Tan, K. H., May 1 2015, In : International Journal of Computer Vision. 112, 3, p. 307-318 12 p.

Research output: Contribution to journalArticle

Median filters
Program processors
Computational complexity
Agglomeration
Costs

Coreset-based neural network compression

Dubey, A., Chatterjee, M. & Ahuja, N., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer-Verlag, p. 469-486 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11211 LNCS).

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

Compression
Neural Networks
Neural networks
Huffman Coding
Network Architecture

Deep joint image filtering

Li, Y., Huang, J. B., Ahuja, N. & Yang, M. H., Jan 1 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Sebe, N., Leibe, B., Welling, M. & Matas, J. (eds.). Springer-Verlag, p. 154-169 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9908 LNCS).

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

Image Filtering
Neural networks
Guidance
Filter
Target

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

DeepMVS: Learning Multi-view Stereopsis

Huang, P. H., Matzen, K., Kopf, J., Ahuja, N. & Huang, J. B., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 2821-2830 10 p. 8578396. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

Neural networks
Chemical activation

Detecting Migrating Birds at Night

Huang, J. B., Caruana, R., Farnsworth, A., Kelling, S. & Ahuja, N., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 2091-2099 9 p. 7780599. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

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

Birds
Trajectories
Meteorological radar
Biodiversity
Moon
Conjugate gradient method
Convex optimization
Computational efficiency
Iterative methods
Computer programming

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

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

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

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

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

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

From region based image representation to object discovery and recognition

Ahuja, N. & Todorovic, S., Oct 29 2010, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR and SPR 2010, Proceedings. p. 1-19 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6218 LNCS).

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

Image Representation
Object recognition
Structural properties
Graph in graph theory
Subgraph

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

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

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

Hybrid compressive sampling via a new total variation TVL1

Shu, X. & Ahuja, N., Jan 1 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 6 ed. Springer-Verlag, p. 393-404 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

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

Total Variation
Sampling
Gradient
Sampling Theorem
Random Sampling

Image completion using planar structure guidance

Huang, J. B., Kang, S. B., Ahuja, N. & Kopf, J., Jan 1 2014, In : ACM Transactions on Graphics. 33, 4, 129.

Research output: Contribution to journalConference article

Imaging via three-dimensional compressive sampling (3DCS)

Shu, X. & Ahuja, N., Dec 1 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 439-446 8 p. 6126273. (Proceedings of the IEEE International Conference on Computer Vision).

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

Sampling
Imaging techniques
Cameras
Decoding
Recovery

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

Joint Estimation of Human Pose and Conversational Groups from Social Scenes

Varadarajan, J., Subramanian, R., Bulò, S. R., Ahuja, N., Lanz, O. & Ricci, E., Apr 1 2018, In : International Journal of Computer Vision. 126, 2-4, p. 410-429 20 p.

Research output: Contribution to journalArticle

Supervised learning
Learning algorithms
Cameras
Experiments

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

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

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

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

Low-level image segmentation based scene classification

Akbas, E. & Ahuja, N., 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 3623-3626 4 p. 5597902

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

Image segmentation
Semantics
Image classification
Probability density function
Support vector machines

Low-rank sparse coding for image classification

Zhang, T., Ghanem, B., Liu, S., Xu, C. & Ahuja, N., Jan 1 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 281-288 8 p. 6751144. (Proceedings of the IEEE International Conference on Computer Vision).

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

Image classification
Experiments

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

Machine vision condition monitoring of heavy-axle load railcar structural underframe components

Schlake, B. W., Todorovic, S., Edwards, J. R., Hart, J. M., Ahuja, N. & Barkan, C. P. L., Sep 1 2010, In : Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 224, 5, p. 499-511 13 p.

Research output: Contribution to journalArticle

Structural loads
Axles
Condition monitoring
Computer vision
Inspection

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

Maximum margin distance learning for dynamic texture recognition

Ghanem, B. & Ahuja, N., Jan 1 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 2 ed. Springer-Verlag, p. 223-236 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6312 LNCS, no. PART 2).

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

Distance Learning
Distance education
Margin
Texture
Textures

Message from the general co-chairs

Ahuja, N. & Bora, P. K., Dec 18 2016, In : ACM International Conference Proceeding Series.

Research output: Contribution to journalEditorial

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

Motion-based background subtraction and panoramic mosaicing for freight train analysis

Kumar, A., Hart, J. M. & Ahuja, N., Dec 1 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. p. 4564-4568 5 p. 6738940. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

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

Aerodynamic drag
Cost functions
Air