Ajmal Mian

Search results

• 2023

  Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility

  Gupta, R., Akhtar, N., Mian, A. & Shah, M., 27 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023). Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, Vol. 37. p. 14838-14846 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

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

  Open Access

• Human Gesture and Gait Analysis for Autism Detection

  Zahan, S., Hassan, G. M. & Mian, A., 14 Aug 2023, (E-pub ahead of print) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. USA: IEEEE, p. 3328-3337 10 p.

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

  Open Access

  • Diagnosis 100%
  • Detection 100%
  • Gait Analysis 100%
  • Gesture Analysis 100%
  • Early Detection 50%

• Local Path Integration for Attribution

  Yang, P., Akhtar, N., Wen, Z. & Mian, A., 27 Jun 2023, AAAI-23 Technical Tracks 3. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 3173-3180 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

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

• UTB180: A High-Quality Benchmark for Underwater Tracking

  Alawode, B., Guo, Y., Ummar, M., Werghi, N., Dias, J., Mian, A. & Javed, S., 2023, Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Wang, L., Gall, J., Chin, T-J., Sato, I. & Chellappa, R. (eds.). Springer Science + Business Media, p. 442-458 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13845 LNCS).

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

  • Benchmark 100%
  • High Quality 100%
  • Performance 83%
  • Dataset 50%
  • Tracking Object 50%
  1 Citation (Scopus)
• 2022

  Detecting Compromised Architecture/Weights of a Deep Model

  Beetham, J., Kardan, N., Mian, A. & Shah, M., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. IEEE, Institute of Electrical and Electronics Engineers, p. 2843-2849 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

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

  • Attack 100%
  • Models 100%
  • Internal Representation 28%
  • Classification 14%
  • Model Prediction 14%

• Fast Parallel Bayesian Network Structure Learning

  Jiang, J., Wen, Z. & Mian, A., 2022, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022. IEEE, Institute of Electrical and Electronics Engineers, p. 617-627 11 p. (Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022).

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

  • Bayesian Networks 100%
  • Network Structures 100%
  • Conditional Independence 60%
  • Learning Process 40%
  • Optimization 20%
  1 Citation (Scopus)

• Kick It to Me, or Maybe Not – How Player Roles Affect AFL Possessions

  Born, Z., Weber, J., Mian, A. & Alderson, J., 2022, Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference. Switzerland: Springer International Publishing AG, 8 p. (Advances in Intelligent Systems and Computing).

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

  • Possession 100%
  • Event 50%
  • Likelihood 50%
  • showcase 25%
  • Analogy 25%

• Learning from Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection

  Feng, M., Liu, K., Zhang, L., Yu, H., Wang, Y. & Mian, A., 2022, 2022 IEEE/CVF Conference on computer vision and pattern recognition (CVPR 2022). IEEE, Institute of Electrical and Electronics Engineers, p. 1746-1756 11 p. (IEEE Conference on Computer Vision and Pattern Recognition).

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

  • Saliency Detection 100%
  • Optimization 50%
  • Invariants 50%
  • Benchmark 50%
  • Training Data 50%
  8 Citations (Scopus)

• Multi-grained interpretable network for image recognition

  Yang, P., Wen, Z. & Mian, A., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. IEEE, Institute of Electrical and Electronics Engineers, p. 3815-3821 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

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

  • Networks 100%
  • Granularity 75%
  • Models 50%
  • Experimental Result 25%
  • Prediction Accuracy 25%

• Regional Video Object Segmentation by Efficient Motion-Aware Mask Propagation

  Miao, B., Bennamoun, M., Gao, Y. & Mian, A., 2 Dec 2022, 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 10034578. (2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022).

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

  • Segmentation 100%
  • Computation 14%
  • Benchmark 14%
  • Segmentation Method 14%
  • Generation 14%

• Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds

  Kumar, A., Kini, J., Mian, A. & Shah, M., 2022, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. IEEE, Institute of Electrical and Electronics Engineers, p. 3754-3761 8 p. (IEEE International Conference on Intelligent Robots and Systems; vol. 2022-October).

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

  • Tracking Object 100%
  • Point Cloud 100%
  • Self-Supervised Learning 100%
  • Annotation 50%
  • Models 50%
  2 Citations (Scopus)

• Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation

  Miao, B., Bennamoun, M., Gao, Y. & Mian, A., 2022, ICME 2022 - IEEE International Conference on Multimedia and Expo 2022, Proceedings. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2022-July).

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

  • Segmentation 100%
  • Annotation 50%
  • Dynamic Memory 50%
  • Segmentation Method 50%
  • Art Performance 50%
  3 Citations (Scopus)

• Spatial Consistency and Feature Diversity Regularization in Transfer Learning for Fine-Grained Visual Categorization

  Dai, Z., Chen, J. & Mian, A., 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2022. p. 522-529 8 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2022-October).

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

  • Regularization 100%
  • Transfer Learning 100%
  • Regularization Method 100%
  • Convolutional Layer 66%
  • Domains 66%

• Transferable 3D Adversarial Textures using End-to-end Optimization

  Pestana Cardeno, C., Akhtar, N., Rahnavard, N., Shah, M. & Mian, A., 2022, IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE, Institute of Electrical and Electronics Engineers, p. 727-736 10 p.

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

  • Optimization 100%
  • Models 100%
  • Attack 28%
  • Invariants 14%
  • Research Direction 14%

• Vision Transformer Based Model for Describing a Set of Images as a Story

  Malakan, Z. M., Hassan, G. M. & Mian, A., 2022, Advances in Artificial Intelligence - 35th Australasian Joint Conference on AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Proceedings. Aziz, H., Corrêa, D. & French, T. (eds.). Switzerland: Springer Science + Business Media, Vol. 13728. p. 15-28 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13728 LNAI).

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

  Open Access

  File

  • Models 100%
  • Long Short-Term Memory Network 40%
  • Current-State 20%
  • Contextual Information 20%
  • Visual Pattern 20%
  2 Citations (Scopus)

  21 Downloads (Pure)
• 2021

  Adversarial Attacks and Defense on Deep Learning Classification Models using YC_bC_r Color Images

  Pestana, C., Akhtar, N., Liu, W., Glance, D. & Mian, A., 18 Jul 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).

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

  Open Access

  File
  2 Citations (Scopus)

  56 Downloads (Pure)

• Assistive signals for deep neural network classifiers

  Pestana, C., Liu, W., Glance, D., Owens, R. & Mian, A., Jun 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1221-1225 5 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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

  Open Access

  File

  • Deep Neural Network 100%
  • Models 100%
  • Classifier 100%
  • Attack 66%
  • Optimization 33%
  4 Citations (Scopus)

  44 Downloads (Pure)

• Attacking Image Classifiers to Generate 3D Textures

  Pestana, C. & Mian, A., 2021, Proceedings - 2021 International Conference on 3D Vision, 3DV 2021. IEEE, Institute of Electrical and Electronics Engineers, p. 1115-1124 10 p. (Proceedings - 2021 International Conference on 3D Vision, 3DV 2021).

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

• CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 16322-16331 10 p. (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

  • Activation 100%
  • Classes 100%
  • Models 100%
  • Backpropagation 66%
  • Computation 33%
  28 Citations (Scopus)

  89 Downloads (Pure)

• Contextualise, Attend, Modulate and Tell: Visual Storytelling

  Malakan, Z. M., Aafaq, N., Hassan, G. M. & Mian, A., 10 Feb 2021, Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Farinella, G. M., Radeva, P., Braz, J. & Bouatouch, K. (eds.). Scitepress, Vol. 5. p. 196-205 10 p.

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

  Open Access

  • Visual Storytelling 100%
  • Generation 100%
  • Contexts 100%
  • Models 100%
  • Visual Content 66%
  3 Citations (Web of Science)

• Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty

  Pestana, C., Liu, W., Glance, D. & Mian, A., 5 Jan 2021, Conference Proceedings 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, Institute of Electrical and Electronics Engineers, p. 556-565 10 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).

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

  Open Access

  File

  • Attack 100%
  • Algorithms 50%
  • Relative Performance 12%
  • Small Perturbation 12%
  • Deep Learning 12%
  4 Citations (Scopus)

  90 Downloads (Pure)

• Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

  Feng, M., Li, Z., Li, Q., Zhang, L., Zhang, X. D., Zhu, G., Zhang, H., Wang, Y. & Mian, A., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. IEEE, Institute of Electrical and Electronics Engineers, p. 3702-3711 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

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

  • Point Cloud 100%
  • Networks 100%
  • Algorithms 20%
  • Benchmark 20%
  • Visual Feature 20%
  10 Citations (Scopus)

• High Definition LiDAR mapping of Perth CBD

  Ibrahim, M., Akhtar, N., Jalwana, M. A. A. K., Wise, M. & Mian, A., 2021, DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications. Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, (DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications).

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

  • Central Business District 100%
  • Cartography 100%
  • Map 100%
  • Definition 100%
  • Loop 27%
  4 Citations (Scopus)

• Modeling Human Skeleton Joint Dynamics for Fall Detection

  Zahan, S., Hassan, G. M. & Mian, A., 2021, International Conference on Digital Image Computing: Techniques and Applications (DICTA). Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). IEEE, Institute of Electrical and Electronics Engineers, (DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications).

  Research output: Chapter in Book/Conference paper › Conference paper › peer-review
  1 Citation (Scopus)

• Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition

  Miao, B., Zhou, L., Mian, A. S., Lam, T. L. & Xu, Y., 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. IEEE, Institute of Electrical and Electronics Engineers, p. 2069-2075 7 p. (IEEE International Conference on Intelligent Robots and Systems).

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

  • Object Relation 100%
  • Knowledge Object 100%
  • Network Segmentation 66%
  • Representation 66%
  • Robotics 33%
  10 Citations (Scopus)

• Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

  Lei, H., Akhtar, N. & Mian, A., 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 13849-13859 11 p. (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

  • Deep Learning 100%
  • Segmentation 50%
  • Real World 50%
  • Interpolation 50%
  • Gaussian Mixture 50%
  4 Citations (Scopus)

  166 Downloads (Pure)

• Predicting 3D ground reaction force from 2D video via neural networks in sidestepping tasks

  Morris, C. G., Mundt, M., Goldacre, M., Weber, J., Mian, A. & Alderson, J., 6 Sept 2021, ISBS Conference 2021. 1 ed. USA: International Society of Biomechanics in Sports, Vol. 39. p. 300-303 (ISBS Proceedings Archive).

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

  Open Access

  • Reaction Force 100%
  • Networks 100%
  • Tasks 100%
  • Three-Dimensional (3d) 16%
  • Dataset 16%

• Predicting ground reaction forces from 2D video: Bridging the lab to field nexus

  Goldacre, M., El-Sallam Abd, A., Wyatt, H., Johnson, W., Liu, J., Mian, A. & Alderson, J., 6 Sept 2021, ISBS Conference 2021. 1 ed. USA: International Society of Biomechanics in Sports, Vol. 39. p. 9-12 (ISBS Proceedings Archive).

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

  Open Access

  • Bridging 100%
  • Reaction Force 100%
  • Fields 100%
  • Video 100%
  • Laboratories 28%

• Semantic attribute enriched storytelling from a sequence of images

  Malakan, Z. M., Hassan, G. M., Jalwana, M. A. A. K., Aafaq, N. & Mian, A., 23 Dec 2021, 2021 Digital Image Computing Techniques and Applications (DICTA). Zhou, J., Salvado, O., Sohel, F., Borges, P. V. K. & Wang, S. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p.

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

  Open Access

  File
  2 Citations (Scopus)

  9 Downloads (Pure)
• 2020

  Anchored vertex exploration for community engagement in social networks

  Cai, T., Li, J., Hasan Haldar, N. A., Mian, A., Yearwood, J. & Sellis, T., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, Institute of Electrical and Electronics Engineers, p. 409-420 12 p. 9101364. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

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

  • Social Capital 100%
  • Community Engagement 100%
  • User 100%
  • Algorithms 50%
  • User Engagement 50%
  10 Citations (Scopus)

• Attack to Explain Deep Representation

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9540-9549 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  • Representation 100%
  • Attack 100%
  • Models 100%
  • Classifier 33%
  • Algorithms 16%
  9 Citations (Scopus)

• SEGGCN: Efficient 3D point cloud segmentation with fuzzy spherical kernel

  Lei, H., Akhtar, N. & Mian, A., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 11608-11617 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  • Real World 100%
  • Point Cloud 100%
  • Point Cloud Segmentation 100%
  • Networks 100%
  • Boundary Condition 50%
  55 Citations (Scopus)

• Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking

  Sun, S., Akhtar, N., Song, X., Song, H., Mian, A. & Shah, M., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science + Business Media, p. 626-643 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12369 LNCS).

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

  • Tracking Object 100%
  • Detection 100%
  • Network Modeling 57%
  • Motion Parameter 28%
  • Deep Learning 28%
  11 Citations (Scopus)
• 2019

  Facial Gender Classification — Analysis using Convolutional Neural Networks

  Lee, B., Gilani, S. Z., Hassan, G. M. & Mian, A., Dec 2019, Proceedings of Digital Image Computing: Technqiues and Applications (DICTA) . USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 8946109. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Face 100%
  • Recognition 50%
  • Nose 50%
  8 Citations (Scopus)

• Feature Engineering Meets Deep Learning: A Case Study on Table Detection in Documents

  Shahzad, M. A., Noor, R., Ahmad, S., Mian, A. & Shafait, F., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8945929. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Case Study 100%
  • Deep Learning 100%
  • Detection 100%
  • Object Recognition 25%
  • Detection Method 25%
  3 Citations (Scopus)

• Learning interpretable expression-sensitive features for 3D dynamic facial expression recognition

  Xue, M., Mian, A., Duan, X. & Liu, W., May 2019, Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. IEEE, Institute of Electrical and Electronics Engineers, 8756564. (Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019).

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

  • Facial Expression 100%
  • Expression Recognition 100%
  • Recognition Performance 50%
  • Feature Selection 50%
  • Benchmark 25%
  4 Citations (Scopus)

• Octree Guided CNN With Spherical Kernels for 3D Point Clouds

  Lei, H., Akhtar, N. & Mian, A., Jun 2019, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 9623-9632 10 p. 8953410. (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

  • Point Cloud 100%
  • Kernel 100%
  • Convolutional Neural Network 100%
  • Networks 40%
  • Partitioning 20%
  94 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
  153 Citations (Scopus)

  229 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

  • Models 100%
  • Face Surgery 100%
  • Networks 50%
  • Accuracy 50%
  • Procedures 50%
  16 Citations (Web of Science)

• Defense against Universal Adversarial Perturbations

  Akhtar, N., Liu, J. & Mian, A., 14 Dec 2018, IEEE Conference on Computer Vision and Pattern Recognition. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3389-3398 10 p. 8578455. (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

  • Networks 100%
  • Deep Learning 20%
  • Models 20%
  • Classifier 20%
  • Real World 10%
  129 Citations (Scopus)

• Holistic influence maximization for targeted advertisements in spatial social networks

  Li, J., Cai, T., Mian, A., Li, R. H., Sellis, T. & Yu, J. X., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1344-1347 4 p. 8509366

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

  • Algorithms 100%
  • Social Capital 100%
  • Diffusion Model 100%
  • Cyber 100%
  • User 100%
  16 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%
  • Networks 40%
  • Face Recognition 40%
  • Trained Network 20%
  • Recognition Accuracy 20%
  109 Citations (Scopus)

  444 Downloads (Pure)
• 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

  • Dictionary 100%
  • Classifier 100%
  • Classes 57%
  • Bernoulli Distribution 42%
  • Dictionary Atom 28%
  27 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

  • Video 100%
  • Recognition 100%
  • Action Recognition 100%
  • Events 100%
  • Data Set 37%
  23 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
  265 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

  • Invariants 100%
  • Action Recognition 100%
  • Models 50%
  • Benchmark 25%
  • Temporal Information 25%
  7 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

  • 3D Action Recognition 100%
  • Models 100%
  • Benchmark 16%
  • Rendering 16%
  • Motion Capture 16%
  135 Citations (Scopus)

• Automatic signature segmentation using hyper-spectral imaging

  Butt, U. M., Ahmad, S., Shafait, F., Nansen, C., Mian, A. S. & Malik, M. I., 2 Jul 2016, Proceedings - 2016 15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016. Liu, C-L. & Chen, Y. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 19-24 6 p. 7814033. (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; vol. 0).

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

  • Segmentation 100%
  • Hyperspectral Imaging 100%
  • Classification 33%
  • Component Analysis 33%
  • Classification Method 33%
  10 Citations (Web of Science)

• Convolutional hypercube pyramid for accurate RGB-D object category and instance recognition

  Zaki, H. F., Shafait, F. & Mian, A., 8 Jun 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA). Okamura, A. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1685-1692 8 p. 7487310

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

  • Object Instance 100%
  • Object Category 100%
  • Domains 66%
  • Algorithms 33%
  • Classification 33%
  28 Citations (Scopus)