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2020 – today
- 2024
[j26]Bryce Ferenczi
, Michael G. Burke, Tom Drummond:
MotionPerceiver: Real-Time Occupancy Forecasting for Embedded Systems. IEEE Robotics Autom. Lett. 9(3): 2822-2829 (2024)- [i65]Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond:
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. CoRR abs/2401.01510 (2024) - [i64]Markus Hiller, Krista A. Ehinger, Tom Drummond:
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers. CoRR abs/2402.12138 (2024) - [i63]Fan Jiang, Tom Drummond, Trevor Cohn:
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision. CoRR abs/2402.16508 (2024) - [i62]Aimee Allen, Tom Drummond, Dana Kulic:
Robots Have Been Seen and Not Heard: Effects of Consequential Sounds on Human-Perception of Robots. CoRR abs/2406.02938 (2024) - 2023
- [j25]Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. IEEE Access 11: 50165-50179 (2023) - [j24]Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Ian D. Reid, Hamid Rezatofighi:
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12783-12797 (2023) - [c125]Zhenkai Zhang, Krista A. Ehinger, Tom Drummond:
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. ACML 2023: 1638-1653 - [c124]Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection without Rotated Annotation. CVPR 2023: 15518-15527 - [c123]Fan Jiang, Tom Drummond, Trevor Cohn:
Don't Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion. EACL 2023: 1810-1824 - [c122]Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn:
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. EMNLP (Findings) 2023: 912-931 - [c121]Fan Jiang, Tom Drummond, Trevor Cohn:
Noisy Self-Training with Synthetic Queries for Dense Retrieval. EMNLP (Findings) 2023: 11991-12008 - [c120]Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond:
Progressive Video Summarization via Multimodal Self-supervised Learning. WACV 2023: 5573-5582 - [i61]Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation. CoRR abs/2304.02199 (2023) - [i60]Bryce Ferenczi, Michael G. Burke, Tom Drummond:
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems. CoRR abs/2306.08879 (2023) - [i59]Luke Ditria, Tom Drummond:
Long-Term Prediction of Natural Video Sequences with Robust Video Predictors. CoRR abs/2308.11079 (2023) - [i58]Luke Ditria, Tom Drummond:
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs. CoRR abs/2308.11123 (2023) - [i57]Zhenkai Zhang, Krista A. Ehinger, Tom Drummond:
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. CoRR abs/2310.17167 (2023) - [i56]Fan Jiang, Tom Drummond, Trevor Cohn:
Noisy Self-Training with Synthetic Queries for Dense Retrieval. CoRR abs/2311.15563 (2023) - [i55]Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn:
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. CoRR abs/2311.15564 (2023) - 2022
- [c119]Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. AAAI 2022: 1926-1934 - [c118]Nicholas Rosa, Tom Drummond, Mehrtash Harandi:
A Differentiable Distance Approximation for Fairer Image Classification. ACCV (6) 2022: 218-234 - [c117]Luis Guerra, Tom Drummond:
Flynet: Max it, Excite it, Quantize it. BMVC 2022: 407 - [c116]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CVPR 2022: 13854-13863 - [c115]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV (20) 2022: 257-274 - [c114]Luis Guerra, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zou, Tom Drummond:
Training 1-Bit Networks on a Sphere: A Geometric Approach. ICANN (3) 2022: 789-802 - [c113]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) 2022: 464-474 - [c112]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. NeurIPS 2022 - [c111]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. NeurIPS 2022 - [c110]Rhys Newbury, Akansel Cosgun, Tysha Crowley-Davis, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Visualizing Robot Intent for Object Handovers with Augmented Reality. RO-MAN 2022: 1264-1270 - [i54]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CoRR abs/2203.07363 (2022) - [i53]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. CoRR abs/2206.07260 (2022) - [i52]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. CoRR abs/2206.07267 (2022) - [i51]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. CoRR abs/2207.12152 (2022) - [i50]Nicholas Rosa, Tom Drummond, Mehrtash Harandi:
A Differentiable Distance Approximation for Fairer Image Classification. CoRR abs/2210.04369 (2022) - [i49]Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Multimorbidity Content-Based Medical Image Retrieval Using Proxies. CoRR abs/2211.12185 (2022) - 2021
- [j23]Rhys Newbury, Kerry He, Akansel Cosgun, Tom Drummond:
Learning to Place Objects Onto Flat Surfaces in Upright Orientations. IEEE Robotics Autom. Lett. 6(3): 4377-4384 (2021) - [j22]Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. IEEE Trans. Medical Imaging 40(10): 2911-2925 (2021) - [j21]Augustus Hebblewhite, Jakob Hohwy, Tom Drummond:
Events and Machine Learning. Top. Cogn. Sci. 13(1): 243-247 (2021) - [j20]Jakob Hohwy, Augustus Hebblewhite, Tom Drummond:
Events, Event Prediction, and Predictive Processing. Top. Cogn. Sci. 13(1): 252-255 (2021) - [c109]Luis Guerra, Tom Drummond:
Automatic Pruning for Quantized Neural Networks. DICTA 2021: 1-8 - [c108]Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. IJCNN 2021: 1-8 - [c107]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. MICCAI (8) 2021: 3-12 - [c106]Benjamin Waymouth, Akansel Cosgun, Rhys Newbury, Tin Tran, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface. RO-MAN 2021: 155-160 - [c105]Morris Gu, Akansel Cosgun, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality. RO-MAN 2021: 406-411 - [c104]Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li:
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. WACV 2021: 51-60 - [c103]Yan Zuo, Gil Avraham, Tom Drummond:
Improved Training of Generative Adversarial Networks Using Decision Forests. WACV 2021: 3491-3500 - [i48]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR abs/2103.00528 (2021) - [i47]Rhys Newbury, Akansel Cosgun, Tysha Crowley-Davis, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Visualizing Robot Intent for Object Handovers with Augmented Reality. CoRR abs/2103.04055 (2021) - [i46]Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Hamid Rezatofighi:
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. CoRR abs/2103.14829 (2021) - [i45]Benjamin Waymouth, Akansel Cosgun, Rhys Newbury, Tin Tran, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface. CoRR abs/2104.02968 (2021) - [i44]Morris Gu, Akansel Cosgun, Wesley P. Chan, Tom Drummond, Elizabeth A. Croft:
Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality. CoRR abs/2104.03547 (2021) - [i43]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. CoRR abs/2104.11057 (2021) - [i42]Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. CoRR abs/2111.06994 (2021) - [i41]Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. CoRR abs/2112.01719 (2021) - [i40]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR abs/2112.03494 (2021) - 2020
- [j19]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 15-26 (2020) - [c102]Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. 3DV 2020: 1059-1069 - [c101]Luke Ditria, Benjamin J. Meyer, Tom Drummond:
OpenGAN: Open Set Generative Adversarial Networks. ACCV (4) 2020: 474-492 - [c100]Yan Zuo, Tom Drummond:
Residual Likelihood Forests. BMVC 2020 - [c99]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
Reducing the Sim-to-Real Gap for Event Cameras. ECCV (27) 2020: 534-549 - [c98]Shray Bansal, Rhys Newbury, Wesley P. Chan, Akansel Cosgun, Aimee Allen, Dana Kulic, Tom Drummond, Charles Isbell:
Supportive Actions for Manipulation in Human-Robot Coworker Teams. IROS 2020: 11261-11267 - [c97]Rhys Newbury, Akansel Cosgun, Mehmet Köseoglu, Tom Drummond:
Learning to Take Good Pictures of People with a Robot Photographer. IROS 2020: 11268-11275 - [c96]James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. DART/DCL@MICCAI 2020: 41-51 - [c95]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [i39]Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond:
Automatic Pruning for Quantized Neural Networks. CoRR abs/2002.00523 (2020) - [i38]Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond:
Switchable Precision Neural Networks. CoRR abs/2002.02815 (2020) - [i37]Luke Ditria, Benjamin J. Meyer, Tom Drummond:
OpenGAN: Open Set Generative Adversarial Networks. CoRR abs/2003.08074 (2020) - [i36]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
How to Train Your Event Camera Neural Network. CoRR abs/2003.09078 (2020) - [i35]Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR abs/2003.10042 (2020) - [i34]Rhys Newbury, Kerry He, Akansel Cosgun, Tom Drummond:
Learning to Place Objects onto Flat Surfaces in Human-Preferred Orientations. CoRR abs/2004.00249 (2020) - [i33]Shray Bansal, Rhys Newbury, Wesley P. Chan, Akansel Cosgun, Aimee Allen, Dana Kulic, Tom Drummond, Charles Isbell:
Supportive Actions for Manipulation in Human-Robot Coworker Teams. CoRR abs/2005.00769 (2020) - [i32]Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li:
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. CoRR abs/2008.04047 (2020) - [i31]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020) - [i30]Yan Zuo, Tom Drummond:
Residual Likelihood Forests. CoRR abs/2011.02086 (2020) - [i29]Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. CoRR abs/2011.04122 (2020) - [i28]Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. CoRR abs/2011.13816 (2020)
2010 – 2019
- 2019
- [c94]Gil Avraham, Yan Zuo, Tom Drummond:
Parallel Optimal Transport GAN. CVPR 2019: 4411-4420 - [c93]Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza:
Event-Based Motion Segmentation by Motion Compensation. ICCV 2019: 7243-7252 - [c92]Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond:
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. ICCV 2019: 8119-8128 - [c91]Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann:
Learning Factorized Representations for Open-Set Domain Adaptation. ICLR (Poster) 2019 - [c90]Benjamin J. Meyer, Tom Drummond:
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning. ICRA 2019: 2924-2931 - [c89]Sourav Garg, Madhu Babu Vankadari, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford:
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. ICRA 2019: 4916-4923 - [c88]Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid:
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. ICRA 2019: 7101-7107 - [c87]Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. MICCAI (6) 2019: 757-765 - [i27]Sourav Garg, V. Madhu Babu, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford:
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. CoRR abs/1902.07381 (2019) - [i26]Benjamin J. Meyer, Tom Drummond:
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning. CoRR abs/1902.10363 (2019) - [i25]Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza:
Event-Based Motion Segmentation by Motion Compensation. CoRR abs/1904.01293 (2019) - [i24]Rhys Newbury, Akansel Cosgun, Mehmet Köseoglu, Tom Drummond:
Learning to Take Good Pictures of People with a Robot Photographer. CoRR abs/1904.05688 (2019) - [i23]Akansel Cosgun, Thomas Rowntree, Ian D. Reid, Tom Drummond:
Practical Robot Learning from Demonstrations using Deep End-to-End Training. CoRR abs/1905.09025 (2019) - [i22]Akansel Cosgun, Luke Ditria, Shayne D'Lima, Tom Drummond:
Embracing Contact: Pushing Multiple Objects with Robot's Forearm. CoRR abs/1906.06866 (2019) - [i21]Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond:
EMPNet: Neural Localisation and Mapping using Embedded Memory Points. CoRR abs/1907.13268 (2019) - [i20]Will T. Nash, C. J. Powell, Tom Drummond, Nick Birbilis:
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning. CoRR abs/1908.02548 (2019) - [i19]Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation. CoRR abs/1910.04961 (2019) - 2018
- [j18]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond, Vincent Frémont, Enrico Natalizio, Isabelle Fantoni:
Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks. Sensors 18(8): 2430 (2018) - [c86]Yan Zuo, Gil Avraham, Tom Drummond:
Traversing Latent Space Using Decision Ferns. ACCV (1) 2018: 593-608 - [c85]Thanuja Dharmasiri, Andrew Spek, Tom Drummond:
ENG: End-to-End Neural Geometry for Robust Depth and Pose Estimation Using CNNs. ACCV (1) 2018: 625-642 - [c84]Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond:
Efficient Subpixel Refinement With Symbolic Linear Predictors. CVPR 2018: 8165-8173 - [c83]Benjamin J. Meyer, Ben Harwood, Tom Drummond:
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels. ICIP 2018: 151-155 - [c82]Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian D. Reid:
Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors. ICRA 2018: 1-9 - [c81]Andrew Spek, Thanuja Dharmasiri, Tom Drummond:
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks. IROS 2018: 540-547 - [i18]Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond:
Efficient Subpixel Refinement with Symbolic Linear Predictors. CoRR abs/1804.10750 (2018) - [i17]Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian D. Reid:
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors. CoRR abs/1805.04239 (2018) - [i16]Yan Zuo, Gil Avraham, Tom Drummond:
Generative Adversarial Forests for Better Conditioned Adversarial Learning. CoRR abs/1805.05185 (2018) - [i15]Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann:
Learning Factorized Representations for Open-set Domain Adaptation. CoRR abs/1805.12277 (2018) - [i14]Will Nash, Tom Drummond, Nick Birbilis:
Quantity beats quality for semantic segmentation of corrosion in images. CoRR abs/1807.03138 (2018) - [i13]Thanuja Dharmasiri, Andrew Spek, Tom Drummond:
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs. CoRR abs/1807.05705 (2018) - [i12]Andrew Spek, Thanuja Dharmasiri, Tom Drummond:
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks. CoRR abs/1807.08931 (2018) - [i11]Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid:
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. CoRR abs/1809.04766 (2018) - [i10]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR abs/1810.06767 (2018) - [i9]Yan Zuo, Gil Avraham, Tom Drummond:
Traversing Latent Space using Decision Ferns. CoRR abs/1812.02636 (2018) - 2017
- [c80]Andrew Spek, Tom Drummond:
A Compact Parametric Solution to Depth Sensor Calibration. BMVC 2017 - [c79]Yan Zuo, Tom Drummond:
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation. CoRL 2017: 27-36 - [c78]Josh Weberruss, Lindsay Kleeman, David Boland, Tom Drummond:
FPGA acceleration of multilevel ORB feature extraction for computer vision. FPL 2017: 1-8 - [c77]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [c76]Andrew Spek, Tom Drummond:
Joint pose and principal curvature refinement using quadrics. ICRA 2017: 3968-3975 - [c75]Benjamin J. Meyer, Tom Drummond:
Improved semantic segmentation for robotic applications with hierarchical conditional random fields. ICRA 2017: 5258-5265 - [c74]Thanuja Dharmasiri, Andrew Spek, Tom Drummond:
Joint prediction of depths, normals and surface curvature from RGB images using CNNs. IROS 2017: 1505-1512 - [c73]Khurrum Aftab Kiani, Tom Drummond:
Solving Robust Regularization Problems Using Iteratively Re-weighted Least Squares. WACV 2017: 483-492 - [i8]B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. CoRR abs/1704.01285 (2017) - [i7]Benjamin J. Meyer, Ben Harwood, Tom Drummond:
Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks. CoRR abs/1705.09780 (2017) - [i6]Thanuja Dharmasiri, Andrew Spek, Tom Drummond:
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs. CoRR abs/1706.07593 (2017) - [i5]Andrew Spek, Tom Drummond:
Joint Pose and Principal Curvature Refinement Using Quadrics. CoRR abs/1707.00381 (2017) - [i4]Andrew Spek, Wai Ho Li, Tom Drummond:
A Fast Method For Computing Principal Curvatures From Range Images. CoRR abs/1707.00385 (2017) - [i3]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond, Vincent Frémont, Enrico Natalizio, Isabelle Fantoni:
Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks. CoRR abs/1707.05978 (2017) - 2016
- [j17]Xiaoqin Wang, Yasar Ahmet Sekercioglu, Tom Drummond, Enrico Natalizio, Isabelle Fantoni, Vincent Frémont:
Fast Depth Video Compression for Mobile RGB-D Sensors. IEEE Trans. Circuits Syst. Video Technol. 26(4): 673-686 (2016) - [c72]Ben Harwood, Tom Drummond:
FANNG: Fast Approximate Nearest Neighbour Graphs. CVPR 2016: 5713-5722 - [c71]William Chamberlain, Jürgen Leitner, Tom Drummond, Peter I. Corke:
A distributed robotic vision service. ICRA 2016: 2494-2499 - [c70]Thanuja Dharmasiri, Vincent Lui, Tom Drummond:
MO-SLAM: Multi object SLAM with run-time object discovery through duplicates. IROS 2016: 1214-1221 - [c69]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond, Enrico Natalizio, Isabelle Fantoni, Vincent Frémont:
Collaborative multi-sensor image transmission and data fusion in mobile visual sensor networks equipped with RGB-D cameras. MFI 2016: 1-8 - 2015
- [j16]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond:
Vision-Based Cooperative Pose Estimation for Localization in Multi-Robot Systems Equipped with RGB-D Cameras. Robotics 4(1): 1-22 (2015) - [c68]Vincent Lui, Dinesh Gamage, Tom Drummond:
Fast Inverse Compositional Image Alignment with Missing Data and Re-weighting. BMVC 2015: 54.1-54.12 - [c67]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond:
Self-calibration in visual sensor networks equipped with RGB-D cameras. ICASSP 2015: 2289-2293 - [c66]Vincent Lui, Tom Drummond:
Image based optimisation without global consistency for constant time monocular visual SLAM. ICRA 2015: 5799-5806 - [c65]Kyel Ok, Dinesh Gamage, Tom Drummond, Frank Dellaert, Nicholas Roy:
Monocular image space tracking on a computationally limited MAV. ICRA 2015: 6415-6422 - [c64]Dinesh Gamage, Tom Drummond:
Reduced dimensionality extended Kalman Filter for SLAM in a relative formulation. IROS 2015: 1365-1372 - 2014
- [c63]Fatemeh Karimirad, Sunita Chauhan, Bijan Shirinzadeh, Tom Drummond, Saeid Nahavandi:
Vision-based robot-assisted biological cell micromanipulation. RO-MAN 2014: 347-352 - 2013
- [j15]Yoong Kang Lim, Lindsay Kleeman, Tom Drummond:
Algorithmic methodologies for FPGA-based vision. Mach. Vis. Appl. 24(6): 1197-1211 (2013) - [c62]Dinesh Gamage, Tom Drummond:
Reduced Dimensionality Extended Kalman Filter for SLAM. BMVC 2013 - [c61]Vincent Lui, Tom Drummond:
An Iterative 5-pt Algorithm for Fast and Robust Essential Matrix Estimation. BMVC 2013 - [c60]Yung Fei Wong, Y. Ahmet Sekercioglu, Tom Drummond, Voon Siong Wong:
Recent approaches to non-intrusive load monitoring techniques in residential settings. CIASG 2013: 73-79 - [c59]Voon Siong Wong, Yung Fei Wong, Tom Drummond, Y. Ahmet Sekercioglu:
A fast multiple appliance detection algorithm for non-intrusive load monitoring. CIASG 2013: 80-86 - [c58]Maxime Meilland, Tom Drummond, Andrew I. Comport:
A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration. ICCV 2013: 2016-2023 - [c57]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond:
A real-time distributed relative pose estimation algorithm for RGB-D camera equipped visual sensor networks. ICDSC 2013: 1-7 - [c56]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond:
Multiview image compression and transmission techniques in Wireless Multimedia Sensor Networks: A survey. ICDSC 2013: 1-8 - [c55]Xiaoqin Wang, Y. Ahmet Sekercioglu, Tom Drummond:
PhD forum: Efficient communication scheme for mobile visual sensor networks equipped with RGB-D cameras. ICDSC 2013: 1-2 - [c54]Tom Drummond, Matt Adcock:
Tutorial chairs. ISMAR 2013: 1 - 2012
- [j14]Jeremiah Neubert, John Pretlove, Tom Drummond:
Rapidly constructed appearance models for tracking in augmented reality applications. Mach. Vis. Appl. 23(5): 843-856 (2012) - [c53]Dinesh Gamage, Tom Drummond:
Corner Matching Refinement for Monocular Pose Estimation. BMVC 2012: 1-11 - [c52]Wen Lik Dennis Lui, Damien Browne, Lindsay Kleeman, Tom Drummond, Wai Ho Li:
Transformative Reality: Improving bionic vision with robotic sensing. EMBC 2012: 304-307 - [c51]Wen Lik Dennis Lui, Titus Jia Jie Tang, Tom Drummond, Wai Ho Li:
Robust egomotion estimation using ICP in inverse depth coordinates. ICRA 2012: 1671-1678 - [c50]Winston Yii, Wai Ho Li, Tom Drummond:
Distributed visual processing for augmented reality. ISMAR 2012: 41-48 - 2011
- [j13]Simon Taylor, Tom Drummond:
Binary Histogrammed Intensity Patches for Efficient and Robust Matching. Int. J. Comput. Vis. 94(2): 241-265 (2011) - [c49]Qi Pan, Clemens Arth, Edward Rosten, Gerhard Reitmayr, Tom Drummond:
Rapid scene reconstruction on mobile phones from panoramic images. ISMAR 2011: 55-64 - [c48]Wen Lik Dennis Lui, Damien Browne, Lindsay Kleeman, Tom Drummond, Wai Ho Li:
Transformative reality: Augmented reality for visual prostheses. ISMAR 2011: 253-254 - 2010
- [j12]Edward Rosten, Reid B. Porter, Tom Drummond:
Faster and Better: A Machine Learning Approach to Corner Detection. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 105-119 (2010) - [j11]Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond, Dieter Schmalstieg:
Real-Time Detection and Tracking for Augmented Reality on Mobile Phones. IEEE Trans. Vis. Comput. Graph. 16(3): 355-368 (2010) - [c47]Paul McIlroy, Edward Rosten, Simon Taylor, Tom Drummond:
Deterministic Sample Consensus with Multiple Match Hypotheses. BMVC 2010: 1-11 - [i2]Edward Rosten, Gerhard Reitmayr, Tom Drummond:
Improved RANSAC performance using simple, iterative minimal-set solvers. CoRR abs/1007.1432 (2010)
2000 – 2009
- 2009
- [j10]Ethan Eade, Tom Drummond:
Edge landmarks in monocular SLAM. Image Vis. Comput. 27(5): 588-596 (2009) - [j9]Ali Shahrokni, Tom Drummond, François Fleuret, Pascal Fua:
Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation. IEEE Trans. Pattern Anal. Mach. Intell. 31(3): 570-576 (2009) - [j8]Mark A. Livingston, Reinhold Behringer, Hirokazu Kato, Tom Drummond:
Guest Editors' Introduction: Special Section on The International Symposium on Mixed and Augmented Reality (ISMAR). IEEE Trans. Vis. Comput. Graph. 15(2): 177-178 (2009) - [c46]Paul McIlroy, Tom Drummond:
Reconstruction from Uncalibrated Affine Silhouettes. BMVC 2009: 1-11 - [c45]Qi Pan, Gerhard Reitmayr, Tom Drummond:
ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition. BMVC 2009: 1-11 - [c44]Simon Taylor, Tom Drummond:
Multiple Target Localisation at over 100 FPS. BMVC 2009: 1-11 - [c43]Simon Taylor, Edward Rosten, Tom Drummond:
Robust feature matching in 2.3µs. CVPR Workshops 2009: 15-22 - [c42]Qi Pan, Gerhard Reitmayr, Tom Drummond:
Interactive model reconstruction with user guidance. ISMAR 2009: 209-210 - 2008
- [j7]Christopher Kemp, Tom Drummond:
Multi-modal tracking using texture changes. Image Vis. Comput. 26(3): 442-450 (2008) - [c41]Ethan Eade, Tom Drummond:
Unified Loop Closing and Recovery for Real Time Monocular SLAM. BMVC 2008: 1-10 - [c40]James Loxam, Tom Drummond:
Student-tMixture Filter for Robust, Real-Time Visual Tracking. ECCV (3) 2008: 372-385 - [c39]Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond, Dieter Schmalstieg:
Pose tracking from natural features on mobile phones. ISMAR 2008: 125-134 - [i1]Edward Rosten, Reid B. Porter, Tom Drummond:
Faster and better: a machine learning approach to corner detection. CoRR abs/0810.2434 (2008) - 2007
- [c38]Ethan Eade, Tom Drummond:
Monocular SLAM as a Graph of Coalesced Observations. ICCV 2007: 1-8 - [c37]Gerhard Reitmayr, Ethan Eade, Tom Drummond:
Semi-automatic Annotations in Unknown Environments. ISMAR 2007: 67-70 - [c36]Jeremiah Neubert, John Pretlove, Tom Drummond:
Semi-Autonomous Generation of Appearance-based Edge Models from Image Sequences. ISMAR 2007: 79-89 - [c35]Gerhard Reitmayr, Tom Drummond:
Initialisation for Visual Tracking in Urban Environments. ISMAR 2007: 161-172 - 2006
- [c34]Ethan Eade, Tom Drummond:
Edge Landmarks in Monocular SLAM. BMVC 2006: 7-16 - [c33]Timothy S. Y. Gan, Tom Drummond:
Vision-Based Augmented Reality Visual Guidance with Keyframes. Computer Graphics International 2006: 692-701 - [c32]Ethan Eade, Tom Drummond:
Scalable Monocular SLAM. CVPR (1) 2006: 469-476 - [c31]Edward Rosten, Tom Drummond:
Machine Learning for High-Speed Corner Detection. ECCV (1) 2006: 430-443 - [c30]Timothy S. Y. Gan, Tom Drummond:
Differentiating Between Many Similar Features using Relational Information in Space and Scale. ICPR (2) 2006: 638-641 - [c29]Gerhard Reitmayr, Tom Drummond:
Going out: robust model-based tracking for outdoor augmented reality. ISMAR 2006: 109-118 - [c28]Jeremiah Neubert, Tom Drummond:
Using backlight intensity for device identification. ISMAR 2006: 245-246 - 2005
- [c27]Georg S. W. Klein, Tom Drummond:
A Single-frame Visual Gyroscope. BMVC 2005 - [c26]Ali Shahrokni, Tom Drummond, Pascal Fua:
Fast Texture-Based Tracking and Delineation Using Texture Entropy. ICCV 2005: 1154-1160 - [c25]Christopher Kemp, Tom Drummond:
Dynamic Measurement Clustering to Aid Real Time Tracking. ICCV 2005: 1500-1507 - [c24]Edward Rosten, Tom Drummond:
Fusing Points and Lines for High Performance Tracking. ICCV 2005: 1508-1515 - [c23]Gerhard Reitmayr, Ethan Eade, Tom Drummond:
Localisation and Interaction for Augmented Maps. ISMAR 2005: 120-129 - [c22]Edward Rosten, Gerhard Reitmayr, Tom Drummond:
Real-Time Video Annotations for Augmented Reality. ISVC 2005: 294-302 - 2004
- [j6]Georg S. W. Klein, Tom Drummond:
Tightly integrated sensor fusion for robust visual tracking. Image Vis. Comput. 22(10): 769-776 (2004) - [j5]Paul Smith, Tom Drummond, Roberto Cipolla:
Layered Motion Segmentation and Depth Ordering by Tracking Edges. IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 479-494 (2004) - [c21]Christopher Kemp, Tom Drummond:
Multi-Modal Tracking using Texture Changes. BMVC 2004: 1-10 - [c20]Ali Shahrokni, Vincent Lepetit, Tom Drummond, Pascal Fua:
Markov-based Silhouette Extraction for Three--Dimensional Body Tracking in Presence of Cluttered Background. BMVC 2004: 1-10 - [c19]Ali Shahrokni, Tom Drummond, Pascal Fua:
Texture Boundary Detection for Real-Time Tracking. ECCV (2) 2004: 566-577 - [c18]Georg S. W. Klein, Tom Drummond:
Sensor Fusion and Occlusion Refinement for Tablet-Based AR. ISMAR 2004: 38-47 - 2003
- [c17]Edward Rosten, Tom Drummond:
Rapid rendering of apparent contours of implicit surfaces for real-time tracking. BMVC 2003: 1-10 - [c16]Paul Smith, Tom Drummond, Kimon Roussopoulos:
Computing MAP trajectories by representing, propagating and combining PDFs over groups. ICCV 2003: 1275-1282 - [c15]Georg S. W. Klein, Tom Drummond:
Robust Visual Tracking for Non-Instrumented Augmented Reality. ISMAR 2003: 113-122 - 2002
- [j4]Tom Drummond, Roberto Cipolla:
Real-time tracking of complex structures with on-line camera calibration. Image Vis. Comput. 20(5-6): 427-433 (2002) - [j3]Tom Drummond, Roberto Cipolla:
Real-Time Visual Tracking of Complex Structures. IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 932-946 (2002) - [c14]Georg S. W. Klein, Tom Drummond:
Tightly Integrated Sensor Fusion for Robust Visual Tracking. BMVC 2002: 1-10 - 2001
- [c13]Maurice Ringer, Tom Drummond, Joan Lasenby:
Using occlusions to aid position estimation for visual motion capture. CVPR (2) 2001: 464-469 - [c12]Tom Drummond, Roberto Cipolla:
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements. ICCV 2001: 315-320 - [c11]Adrian Broadhurst, Tom Drummond, Roberto Cipolla:
A Probabilistic Framework for Space Carving. ICCV 2001: 388-393 - 2000
- [j2]Tom Drummond, Terry Caelli:
Learning Task-Specific Object Recognition and Scene Understanding. Comput. Vis. Image Underst. 80(3): 315-348 (2000) - [j1]Tom Drummond, Roberto Cipolla:
Application of Lie Algebras to Visual Servoing. Int. J. Comput. Vis. 37(1): 21-41 (2000) - [c10]Matthew A. Brown, Tom Drummond, Roberto Cipolla:
3D Model Acquisition by Tracking 2D Wireframes. BMVC 2000: 1-10 - [c9]Paul Smith, Tom Drummond, Roberto Cipolla:
Segmentation of Multiple Motions by Edge Tracking between Two Frames. BMVC 2000: 1-10 - [c8]Tom Drummond, Roberto Cipolla:
Real-Time Tracking of Multiple Articulated Structures in Multiple Views. ECCV (2) 2000: 20-36 - [c7]Paul Smith, Tom Drummond, Roberto Cipolla:
Motion Segmentation by Tracking Edge Information over Multiple Frames. ECCV (2) 2000: 396-410 - [c6]Akira Inoue, Tom Drummond, Roberto Cipolla:
Feature-Based Real-Time Human Face Tracking Using Lie Algebras. MVA 2000: 521-524
1990 – 1999
- 1999
- [c5]Roberto Cipolla, Tom Drummond, Duncan P. Robertson:
Camera Calibration from Vanishing Points in Image of Architectural Scenes. BMVC 1999: 1-10 - [c4]Tom Drummond, Roberto Cipolla:
Real-time Tracking of Complex Structures with On-line Camera Calibration. BMVC 1999: 1-10 - [c3]Paul Smith, Tom Drummond, Roberto Cipolla:
Edge Tracking for Motion Segmentation and Depth Ordering. BMVC 1999: 1-10 - [c2]Tom Drummond, Roberto Cipolla:
Visual Tracking and Control using Lie Algebras. CVPR 1999: 2652-2659 - [c1]Tom Drummond, Roberto Cipolla:
Real-Time Tracking of Complex Structures for Visual Servoing. Workshop on Vision Algorithms 1999: 69-84
Coauthor Index
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