2023
DIODE: Dilatable Incremental Object Detection.
Pattern Recognit., April, 2023
2022
Efficient Cell Labelling for Gram Stain WSIs.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.
Comput. Vis. Image Underst., 2021
Scalable Bayesian Deep Learning with Kernel Seed Networks.
CoRR, 2021
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
2020
Omni-supervised joint detection and pose estimation for wild animals.
Pattern Recognit. Lett., 2020
Faster ILOD: Incremental learning for object detectors based on faster RCNN.
Pattern Recognit. Lett., 2020
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Convex class model on symmetric positive definite manifolds.
Image Vis. Comput., 2019
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
2018
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
2017
An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
Fast and accurate image and video analysis on Riemannian manifolds
PhD thesis, 2016
Efficient clustering on Riemannian manifolds: A kernelised random projection approach.
Pattern Recognit., 2016
Determining the best attributes for surveillance video keywords generation.
Proceedings of the IEEE International Conference on Identity, 2016
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Manifold convex hull (MACH): Satisfying a need for SPD.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition.
Proceedings of the IEEE International Conference on Identity, 2015
2014
Random projections on manifolds of Symmetric Positive Definite matrices for image classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014