View and shape invariant modeling of human actions for smart surveillance

Research output

Research output per year 2016 2017 2018 2019 2021

• 10 Article
• 9 Conference paper
• 1 Review article

Research output per year

Research output per year

Search results

• 2021

  Deep Affinity Network for Multiple Object Tracking

  Sun, S., Akhtar, N., Song, H., Mian, A. S. & Shah, M., 1 Jan 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 1, p. 104-119 16 p., 8766896.

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

  • Tracking Object 100%
  • data association 75%
  • Object Detection 50%
  • Deep Learning Method 50%
  • Tracking Method 25%
  248 Citations (Scopus)
• 2020

  Hyperspectral recovery from RGB images using Gaussian Processes

  Akhtar, N. & Mian, A. S., 1 Jan 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 1, p. 100-113 14 p., 8481553.

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

  Open Access

  File

  • Gaussians 100%
  • RGB Image 100%
  • Reflectance 100%
  • Training Patch 33%
  • Reflectance Spectrum 16%
  90 Citations (Scopus)

  277 Downloads (Pure)

• Structural similarity loss for learning to fuse multi-focus images

  Yan, X., Gilani, S. Z., Qin, H. & Mian, A., 20 Nov 2020, In: Sensors (Switzerland). 20, 22, p. 1-17 17 p., 6647.

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

  Open Access

  • Convolutional Neural Network 100%
  • Structural Similarity 100%
  • multifocus image 100%
  • Image Quality 25%
  • Quality Evaluation 25%
  18 Citations (Scopus)
• 2019

  Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors

  Sun, S., Akhtar, N., Song, H., Zhang, C., Li, J. & Mian, A., Oct 2019, In: IEEE Transactions on Intelligent Transportation Systems. 20, 10, p. 3599-3612 14 p., 8697114.

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

  • Intelligent Transportation System 100%
  • Depth Information 50%
  • Point Cloud 50%
  • System Security 50%
  • Public Transportation 50%
  55 Citations (Scopus)

• Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

  Liu, J., Rahmani, H., Akhtar, N. & Mian, A., 1 Oct 2019, In: International Journal of Computer Vision. 127, 10, p. 1545–1564 20 p.

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

  Open Access

  • Action Recognition 100%
  • Convolutional Neural Network 100%
  • Human Learning 100%
  • Human Action 100%
  • Body Shape 100%
  26 Citations (Scopus)

• On-field player workload exposure and knee injury risk monitoring via deep learning

  Johnson, W. R., Mian, A., Lloyd, D. G. & Alderson, J. A., 27 Aug 2019, In: Journal of Biomechanics. 93, p. 185-193 9 p.

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

  Open Access

  • Joints (Structural Components) 100%
  • Deep Learning Method 100%
  • Neural Network 100%
  • Network Model 100%
  • Multivariate Regression 100%
  39 Citations (Scopus)

• Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

  Liu, J., Akhtar, N. & Mian, A., 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019): Augmented Human Humancentric Understanding and 2D/3D Synthesis. USA: Computer Vision Foundation

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

• Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

  Aafaq, N., Akhtar, N., Liu, W., Gilani, S. Z. & Mian, A., Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 12479-12488 10 p. 8953475. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • Visual Feature 100%
  • Visual Encoding 100%
  • Temporal Dynamic 100%
  • Temporal Semantics 100%
  • Convolutional Neural Network 75%
  199 Citations (Scopus)

  290 Downloads (Pure)

• Video description: A survey of methods, datasets, and evaluation metrics

  Aafaq, N., Mian, A., Liu, W., Gilani, S. Z. & Shah, M., 1 Oct 2019, In: ACM Computing Surveys. 52, 6, 115.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Language Modeling 100%
  • Evaluation Metric 100%
  • Early Childhood 50%
  • Statistics 50%
  • Research Focus 50%
  129 Citations (Scopus)

• Viewpoint invariant semantic object and scene categorization with RGB-D sensors

  Zaki, H. F. M., Shafait, F. & Mian, A., 1 Apr 2019, In: Autonomous Robots. 43, 4, p. 1005-1022 18 p.

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

  Open Access

  File

  • Convolutional Neural Network 100%
  • Semantic Object 100%
  • Classification 100%
  • RGB-D Image 33%
  • Object Pose 33%
  14 Citations (Scopus)

  161 Downloads (Pure)
• 2018

  3D Face Reconstruction from Light Field Images: A Model-free Approach

  Feng, M., Gilani, S. Z., Wang, Y. & Mian, A., 8 Sept 2018, European Conference on Computer Vision. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer, Vol. 11214. p. 508-526 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11214 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  • Reconstruction Error 100%
  • Convolutional Neural Network 100%
  • RGB Image 100%
  • Training Sample 100%
  • Lighting Condition 100%
  18 Citations (Web of Science)

• Dense 3D Face Correspondence

  Zulqarnain Gilani, S., Mian, A., Shafait, F. & Reid, I., 1 Jul 2018, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1584-1598 15 p.

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

  • Morphing 100%
  • Geodesics 49%
  • Fitting Algorithm 49%
  • Curvature Surface 49%
  • Face Recognition 49%
  66 Citations (Scopus)

• Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition

  Gilani, S. & Mian, A., 14 Dec 2018, International Conference on Computer Vision and Pattern Recognition. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1896-1905 10 p. 8578301. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File

  • 3d Face Recognition 100%
  • Face Recognition 40%
  • Trained Network 20%
  • Multiple Instance 20%
  • Convolutional Neural Network 20%
  121 Citations (Scopus)

  558 Downloads (Pure)

• Predicting athlete ground reaction forces and moments from motion capture

  Johnson, W. R., Mian, A., Donnelly, C. J., Lloyd, D. & Alderson, J., 1 Oct 2018, In: Medical and Biological Engineering and Computing. 56, 10, p. 1781-1792 12 p.

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

  Open Access

  • Reaction Force 100%
  • Least Square 40%
  • Resultant Force 20%
  • Newton's Second Law 20%
  • Square Method 20%
  67 Citations (Scopus)

• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

  Akhtar, N. & Mian, A., 16 Feb 2018, In: IEEE Access. 6, p. 14410 - 14430 21 p.

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

  Open Access

  • Deep Learning Method 100%
  • Adversarial Machine Learning 100%
  • Computer Vision 100%
  • Research Direction 14%
  • Deep Learning Model 14%
  1349 Citations (Scopus)
• 2017

  Joint discriminative Bayesian dictionary and classifier learning

  Akhtar, N., Mian, A. & Porikli, F., 6 Nov 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. New York: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-January. p. 3919-3928 10 p.

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • Bernoulli Distribution 100%
  • Bayesian 100%
  • Dictionary Atom 66%
  • Representation Model 66%
  • Class Label 66%
  28 Citations (Web of Science)

• Modeling Sub-Event Dynamics in First-Person Action Recognition

  Mohd Zaki, H. F. B., Shafait, F. & Mian, A. S., 6 Nov 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1619-1628 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  • Action Recognition 100%
  • Recognition Algorithm 50%
  • Fast Fourier Transform 50%
  • Video Representation 50%
  • Perform Experiment 50%
  24 Citations (Scopus)

• Prediction of ground reaction forces and moments via supervised learning is independent of participant sex, height and mass

  Johnson, W. G., Mian, A. S., Donnelly, C. J., Lloyd, D. G. & Alderson, J. A., 2017, Proceedings of the 35th Conference of the International Society of Biomechanics in Sports. Germany: International Society of Biomechanics in Sports, Vol. 35. p. 1142-1145 25

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  File
  311 Downloads (Pure)

• Viewpoint invariant RGB-D human action recognition

  Liu, J., Akhtar, N. & Mian, A. S., 19 Dec 2017, 2017 International Conference on Digital Image Computing - Techniques and Applications (DICTA). Guo, Y., Murshed, M., Wang, Z., Feng, D. D., Li, H., Cai, W. T. & Gao, J. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p. (DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications; vol. 2017-December).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  • human action recognition 100%
  • Action Recognition 50%
  • Convolutional Neural Network 50%
  • Temporal Information 50%
  • Knowledge Transfer 50%
  9 Citations (Scopus)
• 2016

  3D action recognition from novel viewpoints

  Rahmani, H. & Mian, A., 9 Dec 2016, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. O'Conner, L. (ed.). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2016-January. p. 1506-1515 10 p. 7780536

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review

  Open Access

  • Motion Capture 100%
  • Representation Model 100%
  • 3D Action Recognition 100%
  • Action Recognition 100%
  • Deep Convolutional Neural Networks 100%
  149 Citations (Scopus)