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Conference Papers

  • H. Lei, N. Akhtar, A. Mian, "Octree guided CNN with Spherical Kernels for 3D Point Clouds",  In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition,  (CVPR), 2019.

  • N. Aafaq, N. Akhtar, W. Liu, S. Gilani, A. Mian, "Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning",  In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition,  (CVPR), 2019.

  • J. Liu, N. Akhtar, and A. Mian, “Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition”,In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition Workshops,  (CVPR-W), 2019.

  • N. Akhtar, J. Liu and A. Mian, “Defense Against Universal Adversarial Perturbations”, In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition,  (CVPR), 2018.

  • J. Liu, N. Akhtar and A. Mian, “Viewpoint Invariant RGB-D Human Action Recognition”, In Proc. Int. Conf. on Digital Image Computing: Techniques and Applications, (DICTA), 2017. 

  • N. Akhtar, A. Mian and F. Porikli, "Joint Discriminative Bayesian Dictionary and Classifier Learning", In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.

  • N. Akhtar, F. Shafait and A. Mian, “Hierarchical Beta Process with Gaussian Process Prior for Hyperspectral Image Super Resolution”, In Proc. European Conf. on Computer Vision (ECCV), pp. 103-120, 2016.

  • N. Akhtar, F. Shafait and A. Mian, “Bayesian Sparse Representation for Hyperspectral Image Super Resolution”, In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 3631-3640, 2015. 

  • N. Akhtar, F. Shafait and A. Mian, “Sparse Spatio-Spectral Representation for Hyperspectral Image Super Resolution”, In Proc. European Conf. on Computer Vision (ECCV), pp. 63-78, 2014.

  • N. Akhtar, F. Shafait and A. Mian, “SUnGP: A Greedy Sparse Approximation Algorithm for Hyperspectral Unmixing”, In Proc. Int. Conf. on Pattern Recognition (ICPR), pp. 3726-3731, 2014.

  • N. Akhtar, F. Shafait and A. Mian, “Repeated Constrained Sparse Coding with Partial Dictionaries for Hyperspectral Unmixing”, In Proc. IEEE Winter Conf. on Applications of Computer Vision (WACV), pp. 953-960, 2014.

  • A. Küstenmacher, N. Akhtar, Paul-Gerhard Plöger and Gerhard Lakemeyer, “Towards Robust Task Execution for Domestic Service Robots”. In Proc. International Conference on Automated Planning and Scheduling, (ICAPS), 2014.

  • N. Akhtar, A. Kuestenmacher, P. G. Ploeger and G. Lakemeyer, “Simulation-based Approach for Avoiding External Faults”, In Proc. Int. Conf. on Advanced Robotics (ICAR), pp. 1-8, 2013.

  • A. Kuestenmacher, N. Akhtar, P. G. Ploeger and G. Lakemeyer, “Unexpected Situations in Service Robot Environment: Classification and Reasoning Using Naïve Physics”, In ROBOCUP Symposium, pp. 219-230, 2013.

  • N. Akhtar and A. Kuestenmacher, “Using Naïve Physics for Unknown External Faults in Robotics”, In Proc. Int. Workshop on Principles of Diagnosis (DX-2011), pp. 23-31, 2011.

  • N. Akhtar, M. Fueller, B. Kahl and T. Henne, “Towards Iterative Learning of Autonomous Robots Using ILP”, In Proc. Int. Conf. on Advanced Robotics (ICAR), pp. 409-414, 2011.

Journal Articles

  • F. Altaf, S. M. Islam, N. Akhtar, and N. K. Janjua, "Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions", July 2019.

  • S. Sun, N.Akhtar, H. Song, A. Mian, and M. Shah, "Deep Affinity Network for Multiple Object Tracking", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Accepted in July 2019.

  • J. Liu, H. Rahmani, N. Akhtar, and A. Mian, "Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition", Int. Journal of Computer Vision (IJCV). Accepted in June 2019.

  • S. Sun, N. Akhtar, H. Song, C. Zhang, J. Li, A. Mian, "Benchmark data and method for real-time people counting in cluttered scenes using depth sensors", IEEE Transactions on Intelligent Transportation Systems, Accepted in March 2019.

  • N. Akhtar and A. Mian, "Hyperspectral Recovery from RGB Images Using Gaussian Processes", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Accepted in Sept, 2018.

  • N. Akhtar and A. Mian, "Non-parametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification", IEEE Transactions on Neural Networks and Learning Systems (TNNLS). vol. 29, no. 9, pp. 4038 - 4050, Sept, 2018.

  • N. Akhtar and A. Mian, "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey”, IEEE Access, Accepted Feb 2018.

  • J. Liu, H. Rahmani, N. Akhtar and A. Mian, “Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition”, International Journal of Computer Vision, (IJCV) (accepted with revision, March 2018).

  • N. Akhtar and A. Mian, “RCMF: Robust Constrained Matrix Factorization for Hyperspectral Unmixing”,  IEEE Transactions on Geosciences and Remote Sensing, (TGRS), vol. 55, no. 6, pp. 3354 - 3366, 2017. 

  • N. Akhtar, F. Shafait and A. Mian, “Efficient Classification Using Sparsity Augmented Collaborative Representation”, Pattern Recognition (PR), vol. 65, 2017.  

  • N. Akhtar, F. Shafait and A. Mian, “Discriminative Bayesian Dictionary Learning for Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 12, 2016.

  • N. Akhtar, F. Shafait and A. Mian, “Futuristic Greedy Approach to Sparse Unmixing of Hyperspectral Data”, IEEE Transactions on Geosciences and Remote Sensing (TGRS), vol. 53, no. 4, pp. 2157 – 2174, 2014.

  • A. Kuestenmacher, N. Akhtar, P. G. Ploeger and G. Lakemeyer, “Towards Robust Task Execution for Domestic Service Robots”, Journal of Intelligent and Robotic Systems (JIRS) 2013, vol. 76, no. 1.

arXiv pre-prints

  • J.Liu, N. Akhtar, and A. Mian, "Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video", arXiv pre-print arXiv:1906.00161, June 2019.

  • N.Akhtar, M. A. A. K. Jalwana, M. Bennamoun, and A. Mian, "Label Universal Targeted Attack", arXiv pre-print arXiv:1905.11544, May 2019.

  • H. Li, N. Akhtar, and A. Mian, “Spherical Convolutional Neural Network for 3D Point Clouds”, arXiv preprint arXiv:1805.07872, May 2018. 

  • N. Akhtar, F. Shafait, and A. Mian, “Sparseness helps: Sparsity Augmented Collaborative Representation for Classification”, arXiv pre-print, arXiv:1511.08956, Nov 2015.

Tech. Reports

  • R. Mahony, N. Akhtar, S. H. Khan, E. Franklin, J. Coventry and E. Salahat, “Milestone Report: Robotic Vision System for Automatic Inspection and Evaluation of Solar Power Infrastructure”, Research School of Computer Science, Australian National University, Mar 2017

  • F. Porikli, N. Akhtar, S. H. Khan, E. Franklin, J. Coventry and E. Salahat, “Cost-Benefit Analysis of Robotic Vision System for Automatic Inspection and Evaluation of Solar Power Infrastructure”, Research School of Computer Science, Australian National University, Sep. 2016.

  • N. Akhtar, “Fault Reasoning based on Naïve Physics”, Technical Report, Hochschule Bonn-Rhein-Sieg, Germany. Feb 2011.

Theses

  • N. Akhtar, "Sparse Representation Techniques for Hyperspectral Imaging",  PhD Thesis, School of Computer Science and Software Engineering, The University of Western Australia, Australia, Nov. 2016. (Download)

  • N. Akhtar "Improving reliability of mobile manipulators against unknown external faults", Master Thesis, Department of Computer Science, Hochshule Bonn-Rhein-Sieg, Germany, Mar. 2012. (Download)

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