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2014

Partial occlusion handling for visual tracking via robust part matching

Zhang, T., Jia, K., Xu, C., Ma, Y. & Ahuja, N., Sep 24 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 1258-1265 8 p. 6909560. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

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
2016

Temporally coherent completion of dynamic video

Huang, J. B., Kang, S. B., Ahuja, N. & Kopf, J., Nov 2016, In : ACM Transactions on Graphics. 35, 6, 196.

Research output: Contribution to journalArticle

Color
Optical flows
Flow fields
Pixels
Cameras
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
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
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
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
2012

Shadow removal using bilateral filtering

Yang, Q., Tan, K. H. & Ahuja, N., Sep 28 2012, In : IEEE Transactions on Image Processing. 21, 10, p. 4361-4368 8 p., 6241432.

Research output: Contribution to journalArticle

Luminance
Three-Dimensional Imaging
Lighting
Color
Cameras
2015

On the equivalence of moving entrance pupil and radial distortion for camera calibration

Kumar, A. & Ahuja, N., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 2345-2353 9 p. 7410627. (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
Calibration
Pixels
Lenses
Camera lenses
2013

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
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

2016

Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery

Shu, X., Porikli, F. & Ahuja, N., Jul 6 2016, Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, p. 12.1-12.14

Research output: Chapter in Book/Report/Conference proceedingChapter

Orthonormal
Recovery
Subspace
Learning
2012

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
2015

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
2011

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
2015

Single image super-resolution from transformed self-exemplars

Huang, J. B., Singh, A. & Ahuja, N., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 5197-5206 10 p. 7299156. (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

Glossaries
Geometry
2013

Transformation guided image completion

Huang, J. B., Kopf, J., Ahuja, N. & Kang, S. B., Aug 8 2013, 2013 IEEE International Conference on Computational Photography, ICCP 2013. 6528313. (2013 IEEE International Conference on Computational Photography, ICCP 2013).

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

Color matching
Specifications
Costs
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
2015

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
2017

Robust visual tracking using oblique random forests

Zhang, L., Varadarajan, J., Suganthan, P. N., Ahuja, N. & Moulin, P., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 5825-5834 10 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 classification
Decision trees
Deep neural networks
Object detection
2013

Robust visual tracking via structured multi-task sparse learning

Zhang, T., Ghanem, B., Liu, S. & Ahuja, N., Jan 1 2013, In : International Journal of Computer Vision. 101, 2, p. 367-383 17 p.

Research output: Contribution to journalArticle

Gradient methods
Glossaries
Mach number
Computational complexity
Lighting
2016

Tracking persons-of-interest via adaptive discriminative features

Zhang, S., Gong, Y., Huang, J. B., Lim, J., Wang, J., Ahuja, N. & Yang, M. H., Jan 1 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Matas, J., Welling, M., Leibe, B. & Sebe, N. (eds.). Springer-Verlag, p. 415-433 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9909 LNCS).

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

Person
Face
Neural networks
Neural Networks
Clustering algorithms
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

Trajectory-based Fisher kernel representation for action recognition in videos

Atmosukarto, I., Ghanem, B. & Ahuja, N., Dec 1 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 3333-3336 4 p. 6460878. (Proceedings - International Conference on Pattern Recognition).

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

Trajectories
Computer vision
Classifiers
Experiments
2013

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
2010

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
2016

Unsupervised visual representation learning by graph-based consistent constraints

Li, D., Hung, W. C., Huang, J. B., Wang, S., 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. 678-694 17 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 classification
Supervised learning
Graph in graph theory
Volatile organic compounds
Scalability
2014

Robust orthonormal subspace learning: Efficient recovery of corrupted low-rank matrices

Shu, X., Porikli, F. & Ahuja, N., Sep 24 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 3874-3881 8 p. 6909890. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

Recovery
Computer vision
Sampling
Experiments
2018

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
2010

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
2013

Rotation-invariant texture recognition by rotation compensation and wavelet analysis

Yang, H. & Ahuja, N., Dec 1 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. p. 3785-3789 5 p. 6738780. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

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

Wavelet analysis
Textures
Wavelet transforms
Compensation and Redress
Experiments
2014

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

2010

Sparse coding of linear dynamical systems with an application to dynamic texture recognition

Ghanem, B. & Ahuja, N., Nov 18 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 987-990 4 p. 5595841. (Proceedings - International Conference on Pattern Recognition).

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

Dynamical systems
Textures
Glossaries
2016

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
2010

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
2014

Towards accurate and robust cross-ratio based gaze trackers through learning from simulation

Huang, J. B., Cai, Q., Liu, Z., Ahuja, N. & Zhang, Z., Jan 1 2014, Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery, p. 75-82 8 p. (Eye Tracking Research and Applications Symposium (ETRA)).

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

Learning
Calibration
Invariance
Head Movements
Cameras
2013

On stochastic gradient descent and quadratic mutual information for image registration

Singh, A. & Ahuja, N., Dec 1 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. p. 1326-1330 5 p. 6738273. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

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

Image registration
Cost functions
Pixels
2012

Saliency detection via divergence analysis: A unified perspective

Huang, J. B. & Ahuja, N., Dec 1 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 2748-2751 4 p. 6460734. (Proceedings - International Conference on Pattern Recognition).

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

Experiments

Stereo matching using epipolar distance transform

Yang, Q. & Ahuja, N., Sep 28 2012, In : IEEE Transactions on Image Processing. 21, 10, p. 4410-4419 10 p., 6236163.

Research output: Contribution to journalArticle

Textures
Affine transforms
Laptop computers
Computational complexity
Pixels
2014

Non-frontal camera calibration using focal stack imagery

Kumar, A. & Ahuja, N., Dec 4 2014, Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 202-207 6 p. 6976755. (Proceedings - International Conference on Pattern Recognition).

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

Cameras
Calibration
Sensors
Imaging techniques
Lenses
2018

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
2013

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