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• Article

  Automated visual inspection of railroad tracks

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

  Research output: Contribution to journal › Article › peer-review

  • Railroad tracks
  • Inspection
  • Computer vision
  • Signal processing
  • Defects

• 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 journal › Article › peer-review

  • Watersheds
  • Object recognition
  • Nanoparticles
  • Edge detection
  • Physics

• 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 journal › Article › peer-review

  • 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 journal › Article › peer-review

  • 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 journal › Article › peer-review

  • Median filters
  • Agglomeration
  • Program processors
  • Computational complexity
  • Costs

• 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 journal › Article › peer-review

  • Pixel
  • Bilateral Filter
  • Color
  • Color Image
  • 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 journal › Article › peer-review

  • Image processing
  • Railroad tracks
  • Particle size
  • Imaging techniques
  • Camera lenses

• 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 journal › Article › peer-review

  • Super-resolution
  • Pyramid
  • Image resolution
  • Image reconstruction
  • Image quality

• 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 journal › Article › peer-review

  • Fusion reactions
  • Median filters
  • Sensors
  • Agglomeration
  • Color

• 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 journal › Article › peer-review

  • 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 journal › Article › peer-review

  • Image Filtering
  • Neural networks
  • Guidance
  • Filter
  • Target

• 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 journal › Article › peer-review

  • 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 journal › Article › peer-review

  • Segmentation
  • Statistics
  • Image Segmentation
  • Image segmentation
  • Object Detection

• 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 journal › Article › peer-review

  • Birds
  • Linear transformations
  • Animals
  • Image segmentation
  • Statistical Models

• 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 journal › Article › peer-review

  • Pixels
  • Lighting
  • Sports

• 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 journal › Article › peer-review

  • Statistics
  • Sports
  • Large dataset
  • Software packages

• 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 journal › Article › peer-review

  • Glossaries

• Robust visual tracking via exclusive context modeling

  Zhang, T., Ghanem, B., Liu, S., Xu, C. & Ahuja, N., Jan 2016, In: IEEE Transactions on Cybernetics. 46, 1, p. 51-63 13 p., 7036101.

  Research output: Contribution to journal › Article › peer-review

  • Glossaries
  • Gradient methods
  • Lighting

• 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 journal › Article › peer-review

  • Gradient methods
  • Glossaries
  • Mach number
  • Lighting
  • Computational complexity

• 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 journal › Article › peer-review

  • Superpixels
  • Computer vision
  • Detectors

• 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 journal › Article › peer-review

  • Color
  • Optical flows
  • Flow fields
  • Pixels
  • Cameras
• Chapter

  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 proceeding › Chapter
• Conference article

  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 journal › Conference article › peer-review
• Conference contribution

  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 proceeding › Conference contribution

  • Gages
  • Image quality
  • Cameras

• 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 proceeding › Conference 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 proceeding › Conference contribution

  • Anomaly detection
  • Labeling
  • Problem-Based Learning
  • Unsupervised learning
  • Video streaming

• 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 proceeding › Conference contribution

  • Imaging techniques
  • Pixels
  • Convolution
  • Composite materials

• 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 proceeding › Conference contribution

  • Sports
  • Statistics
  • Military applications
  • Large dataset
  • Software packages

• Coreset-based neural network compression

  Dubey, A., Chatterjee, M. & Ahuja, N., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer-Verlag Berlin Heidelberg, 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 proceeding › Conference 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 proceeding › Conference 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 proceeding › Conference contribution

  • Image resolution
  • Convolution
  • Interpolation
  • Computational complexity
  • 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 proceeding › Conference 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 proceeding › Conference contribution

  • Birds
  • Meteorological radar
  • Biodiversity
  • Trajectories
  • Moon

• 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 proceeding › Conference contribution

  • Imaging techniques
  • Calibration
  • Cameras
  • Parameterization
  • Sensors

• 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 proceeding › Conference contribution

  • Calibration
  • Cameras
  • Optics
  • Sensors

• 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 proceeding › Conference contribution

  • Labels
  • Cameras

• 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 proceeding › Conference contribution

  • Image classification
  • Experiments

• 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 proceeding › Conference contribution

  • Aerodynamic drag
  • Cost functions
  • Air

• 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 proceeding › Conference contribution

  • Calibration
  • Cameras
  • Sensors
  • Imaging techniques
  • Lenses

• Non-local compressive sampling recovery

  Shu, X., Yang, J. & Ahuja, N., Jan 1 2014, 2014 IEEE International Conference on Computational Photography, ICCP 2014. IEEE Computer Society, 6831806. (2014 IEEE International Conference on Computational Photography, ICCP 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recovery
  • Sparsity
  • Patch
  • Stable Convergence
  • Prior Knowledge

• 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 proceeding › Conference contribution

  • Pixels
  • Lighting
  • Sports

• 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 proceeding › Conference contribution

  • Image registration
  • Cost functions
  • Pixels

• 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 proceeding › Conference contribution

  • Calibration
  • Cameras
  • Pixels
  • Lenses
  • Camera lenses

• 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 proceeding › Conference contribution

  • Video Surveillance
  • Anomalous
  • Anomaly detection
  • Motion
  • Anomaly Detection

• 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 proceeding › Conference contribution

• 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 proceeding › Conference contribution

  • Accumulate
  • Neural Networks
  • Codebook
  • Multiplication
  • Hardware

• 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 proceeding › Conference contribution

  • Recovery
  • Computer vision
  • Sampling
  • Experiments

• 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 proceeding › Conference contribution

  • Deep neural networks
  • Image classification
  • Object detection
  • Decision trees

• 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 proceeding › Conference contribution

  • Wavelet analysis
  • Textures
  • Compensation and Redress
  • Wavelet transforms
  • Experiments

• 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 proceeding › Conference contribution

  • Glossaries
  • Geometry