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• Article

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

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

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

  • Lighting

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 proceeding › Conference contribution

  • Imaging techniques
  • Sampling
  • 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 proceeding › Conference contribution

  • Labels
  • Cameras

• 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

• 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

• Pedestrian recognition with a learned metric

  Dikmen, M., Akbas, E., Huang, T. S. & Ahuja, N., 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 proceeding › Conference contribution

  • Rejection
  • Margin
  • Classifiers
  • Metric
  • Nearest Neighbor

• 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

• 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 proceeding › Conference contribution

  • Band structure
  • Textures
  • Glossaries
  • Optical resolving power
  • Image resolution

• 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 proceeding › Conference contribution

  • Image resolution
  • Textures
  • Pipelines
  • Recovery

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

  Huang, J. B., Cai, Q., Liu, Z., Ahuja, N. & Zhang, Z., 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 proceeding › Conference contribution

  • Calibration
  • Learning
  • Invariance
  • Ocular Fixation
  • Head Movements

• 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 Berlin Heidelberg, 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 proceeding › Conference contribution

  • Person
  • Face
  • Neural networks
  • Neural Networks
  • Face Tracking

• 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 Berlin Heidelberg, 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 proceeding › Conference contribution

  • Vision
  • Learning
  • Mining
  • Volatile organic compounds
  • Image classification
• Editorial

  Message from the general co-chairs

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

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