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ORCIDIan D. Reid 0001
Ian Reid 0001 – Ian David Reid
Person information
- affiliation: University of Adelaide, Department of Computer Science, Australia
- affiliation (PhD 1991): University of Oxford, Department of Engineering Science, UK
Other persons with the same name
- Ian D. Reid 0002
![[0000-0002-1079-3724]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1079-3724")
(aka: Ian Reid 0002) — Concordia University, Centre for Structural and Functional Genomics, Montreal, QC, Canada
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Journal Articles
- 2024
[j73]Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin:
Assessing domain gap for continual domain adaptation in object detection. Comput. Vis. Image Underst. 238: 103885 (2024)- [j72]Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen:
SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 497-508 (2024) - 2023
- [j71]Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8538-8552 (2023) - [j70]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) - [j69]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133: 109013 (2023) - [j68]Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134: 109121 (2023) - 2022
- [j67]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022) - [j66]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid:
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130(9): 2081-2102 (2022) - [j65]Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang:
Deep Object Tracking With Shrinkage Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2386-2401 (2022) - [j64]Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [j63]Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9011-9025 (2022) - [j62]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid:
Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9802-9813 (2022) - 2021
- [j61]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129(4): 845-881 (2021) - [j60]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid:
Unsupervised Scale-Consistent Depth Learning from Video. Int. J. Comput. Vis. 129(9): 2548-2564 (2021) - [j59]Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid:
Improved Visual Localization via Graph Filtering. J. Imaging 7(2): 20 (2021) - [j58]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid:
Visual localization under appearance change: filtering approaches. Neural Comput. Appl. 33(13): 7325-7338 (2021) - [j57]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. IEEE Robotics Autom. Lett. 6(1): 167-174 (2021) - [j56]Kejie Li, Hamid Rezatofighi, Ian Reid:
MOLTR: Multiple Object Localization, Tracking and Reconstruction From Monocular RGB Videos. IEEE Robotics Autom. Lett. 6(2): 3341-3348 (2021) - 2020
- [j55]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8(1-2): 1-224 (2020) - [j54]Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid:
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int. J. Comput. Vis. 128(6): 1580-1593 (2020) - [j53]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) - [j52]Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1228-1242 (2020) - [j51]Jie Li, Yu Liu, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena:
Depth Based Semantic Scene Completion With Position Importance Aware Loss. IEEE Robotics Autom. Lett. 5(1): 219-226 (2020) - [j50]Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi:
Socially and Contextually Aware Human Motion and Pose Forecasting. IEEE Robotics Autom. Lett. 5(4): 6033-6040 (2020) - [j49]Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian Reid, Qinfeng Shi:
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Trans. Image Process. 29: 277-288 (2020) - [j48]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid:
Real-time Image Smoothing via Iterative Least Squares. ACM Trans. Graph. 39(3): 28:1-28:24 (2020) - 2019
- [j47]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. 58 (2019) - [j46]Xi Li, Liming Zhao, Wei Ji, Yiming Wu, Fei Wu, Ming-Hsuan Yang, Dacheng Tao, Ian Reid:
Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 915-927 (2019) - 2018
- [j45]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1352-1366 (2018) - [j44]Syed Zulqarnain Gilani, Ajmal S. Mian, Faisal Shafait, Ian Reid:
Dense 3D Face Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1584-1598 (2018) - 2017
- [j43]Carl Yuheng Ren, Victor Adrian Prisacariu, Olaf Kähler, Ian D. Reid, David William Murray:
Real-Time Tracking of Single and Multiple Objects from Depth-Colour Imagery Using 3D Signed Distance Functions. Int. J. Comput. Vis. 124(1): 80-95 (2017) - 2016
- [j42]Ian Reid:
12th Asian conference on computer vision. Comput. Vis. Image Underst. 146: 51 (2016) - [j41]Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online unsupervised feature learning for visual tracking. Image Vis. Comput. 51: 84-94 (2016) - [j40]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2024-2039 (2016) - [j39]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, John J. Leonard:
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Trans. Robotics 32(6): 1309-1332 (2016) - 2015
- [j38]Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Ian D. Reid:
Real-Time 3D Tracking and Reconstruction on Mobile Phones. IEEE Trans. Vis. Comput. Graph. 21(5): 557-570 (2015) - 2014
- [j37]Carl Yuheng Ren, Victor Adrian Prisacariu, Ian Reid:
Regressing Local to Global Shape Properties for Online Segmentation and Tracking. Int. J. Comput. Vis. 106(3): 269-281 (2014) - 2012
- [j36]Nicola Bellotto, Ben Benfold, Hanno Harland, Hans-Hellmut Nagel, Nicola Pirlo, Ian Reid, Eric Sommerlade, Chuan Zhao:
Cognitive visual tracking and camera control. Comput. Vis. Image Underst. 116(3): 457-471 (2012) - [j35]Victor Adrian Prisacariu, Ian D. Reid:
PWP3D: Real-Time Segmentation and Tracking of 3D Objects. Int. J. Comput. Vis. 98(3): 335-354 (2012) - [j34]Victor Adrian Prisacariu, Ian Reid:
3D hand tracking for human computer interaction. Image Vis. Comput. 30(3): 236-250 (2012) - [j33]Alonso Patron-Perez, Marcin Marszalek, Ian Reid, Andrew Zisserman:
Structured Learning of Human Interactions in TV Shows. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2441-2453 (2012) - 2011
- [j32]Neil M. Robertson, Ian D. Reid:
Automatic Reasoning about Causal Events in Surveillance Video. EURASIP J. Image Video Process. 2011 (2011) - [j31]Christopher Mei, Gabe Sibley, Mark Cummins, Paul M. Newman, Ian Reid:
RSLAM: A System for Large-Scale Mapping in Constant-Time Using Stereo. Int. J. Comput. Vis. 94(2): 198-214 (2011) - [j30]Brian Patrick Williams, Georg Klein, Ian Reid:
Automatic Relocalization and Loop Closing for Real-Time Monocular SLAM. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1699-1712 (2011) - 2010
- [j29]Gabe Sibley, Christopher Mei, Ian Reid, Paul M. Newman:
Vast-scale Outdoor Navigation Using Adaptive Relative Bundle Adjustment. Int. J. Robotics Res. 29(8): 958-980 (2010) - [j28]Ian Reid, Keith Richard Connor:
Multiview segmentation and tracking of dynamic occluding layers. Image Vis. Comput. 28(6): 1022-1030 (2010) - 2009
- [j27]Philip A. Tresadern, Ian D. Reid:
Video synchronization from human motion using rank constraints. Comput. Vis. Image Underst. 113(8): 891-906 (2009) - [j26]Paul Newman, Gabe Sibley, Mike Smith, Mark Cummins, Alastair Harrison, Christopher Mei, Ingmar Posner, Robbie Shade, Derik Schröter, Liz Murphy, Winston Churchill, Dave Cole, Ian D. Reid:
Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers. Int. J. Robotics Res. 28(11-12): 1406-1433 (2009) - [j25]Ali Shahrokni, Oliver J. Woodford, Ian Reid:
Temporally-coherent Novel Video Synthesis Using Texture-based Priors. IPSJ Trans. Comput. Vis. Appl. 1: 72-81 (2009) - [j24]Oliver J. Woodford, Philip H. S. Torr, Ian Reid, Andrew W. Fitzgibbon:
Global Stereo Reconstruction under Second-Order Smoothness Priors. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2115-2128 (2009) - [j23]Brian Patrick Williams, Mark Cummins, José Neira, Paul M. Newman, Ian Reid, Juan D. Tardós:
A comparison of loop closing techniques in monocular SLAM. Robotics Auton. Syst. 57(12): 1188-1197 (2009) - 2008
- [j22]Philip A. Tresadern, Ian D. Reid:
Camera calibration from human motion. Image Vis. Comput. 26(6): 851-862 (2008) - 2007
- [j21]Andrew J. Davison, Ian D. Reid, Nicholas Molton, Olivier Stasse:
MonoSLAM: Real-Time Single Camera SLAM. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1052-1067 (2007) - 2006
- [j20]Neil Robertson, Ian Reid:
A general method for human activity recognition in video. Comput. Vis. Image Underst. 104(2-3): 232-248 (2006) - [j19]Joss Knight, Ian Reid:
Automated Alignment of Robotic Pan-Tilt Camera Units Using Vision. Int. J. Comput. Vis. 68(3): 219-237 (2006) - 2005
- [j18]Jonathan Deutscher, Ian Reid:
Articulated Body Motion Capture by Stochastic Search. Int. J. Comput. Vis. 61(2): 185-205 (2005) - [j17]Tomás Rodríguez, Ian Reid, Radu Horaud, Navneet Dalal, Marcelo Götz:
Image interpolation for virtual sports scenarios. Mach. Vis. Appl. 16(4): 236-245 (2005) - 2002
- [j16]Lourdes Agapito, Eric Hayman, Ian Reid:
Self-Calibration of Rotating and Zooming Cameras. Int. J. Comput. Vis. 47(1-3): 287 (2002) - 2001
- [j15]Lourdes Agapito, Eric Hayman, Ian Reid:
Self-Calibration of Rotating and Zooming Cameras. Int. J. Comput. Vis. 45(2): 107-127 (2001) - [j14]Richard L. Thompson, Ian D. Reid, L. A. Muñoz, David William Murray:
Providing synthetic views for teleoperation using visual pose tracking in multiple cameras. IEEE Trans. Syst. Man Cybern. Part A 31(1): 43-54 (2001) - 2000
- [j13]Antonio Criminisi, Ian Reid, Andrew Zisserman:
Single View Metrology. Int. J. Comput. Vis. 40(2): 123-148 (2000) - 1999
- [j12]Antonio Criminisi, Ian Reid, Andrew Zisserman:
A plane measuring device. Image Vis. Comput. 17(8): 625-634 (1999) - 1998
- [j11]Stuart M. Fairley, Ian D. Reid, David William Murray:
Transfer of Fixation Using Affine Structure: Extending the Analysis to Stereo. Int. J. Comput. Vis. 29(1): 47-58 (1998) - 1997
- [j10]Kevin J. Bradshaw, Ian D. Reid, David William Murray:
The Active Recovery of 3D Motion Trajectories and Their Use in Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 19(3): 219-234 (1997) - [j9]Philip F. McLauchlan, Ian D. Reid, Stuart M. Fairley, David William Murray:
The Pipe-group Architecture for Real-Time Active Vision. Real Time Imaging 3(5): 319-330 (1997) - 1996
- [j8]Ian D. Reid, David William Murray:
Active tracking of foveated feature clusters using affine structure. Int. J. Comput. Vis. 18(1): 41-60 (1996) - [j7]Ian D. Reid, Paul A. Beardsley:
Self-alignment of a binocular robot. Image Vis. Comput. 14(8): 635-640 (1996) - [j6]Ian D. Reid:
Projective calibration of a laser-stripe range finder. Image Vis. Comput. 14(9): 659-666 (1996) - 1995
- [j5]Ian D. Reid, Michael Brady:
Recognition of Object Classes from Range Data. Artif. Intell. 78(1-2): 289-326 (1995) - [j4]David William Murray, Kevin J. Bradshaw, Philip F. McLauchlan, Ian D. Reid, Paul M. Sharkey:
Driving saccade to pursuit using image motion. Int. J. Comput. Vis. 16(3): 205-228 (1995) - 1994
- [j3]Kevin J. Bradshaw, Philip F. McLauchlan, Ian D. Reid, David William Murray:
Saccade and pursuit on an active head/eye platform. Image Vis. Comput. 12(3): 155-163 (1994) - [j2]Frédéric Chenavier, Ian Reid, Michael Brady:
Recognition of parameterized objects from 3D data: a parallel implementation. Image Vis. Comput. 12(9): 573-582 (1994) - 1992
- [j1]Ian Reid, Michael Brady:
Model-based recognition and range imaging for a guided vehicle. Image Vis. Comput. 10(3): 197-207 (1992)
Conference and Workshop Papers
- 2023
- [c233]Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf:
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. CoRL 2023: 23-72 - [c232]Hamish Pratt, Bernard J. E. Evans, Ian D. Reid, Steven D. Wiederman:
Ball Detection for a Lightweight Mobile Platform. DICTA 2023: 89-96 - [c231]Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. DICTA 2023: 212-222 - [c230]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV 2023: 1151-1161 - 2022
- [c229]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. CVPR 2022: 20951-20960 - [c228]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. ECCV Workshops (1) 2022: 3-20 - [c227]Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li:
You Only Cut Once: Boosting Data Augmentation with a Single Cut. ICML 2022: 8196-8212 - [c226]Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid:
Autonomy and Perception for Space Mining. ICRA 2022: 4087-4093 - [c225]Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. ICRA 2022: 9432-9438 - 2021
- [c224]Jia-Wang Bian, Huangying Zhan, Ian Reid:
NVSS: High-quality Novel View Selfie Synthesis. 3DV 2021: 1085-1094 - [c223]Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC 2021: 187 - [c222]Matthew Howe, Ian Reid, Jamie Mackenzie:
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data. BMVC 2021: 394 - [c221]Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid:
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CVPR 2021: 4298-4307 - [c220]Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe:
ODAM: Object Detection, Association, and Mapping using Posed RGB Video. ICCV 2021: 5978-5988 - [c219]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. ICCV 2021: 13370-13380 - [c218]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI 2021: 426-436 - [c217]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV 2021: 3606-3614 - 2020
- [c216]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian D. Reid:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. AAAI 2020: 11620-11628 - [c215]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) 2020: 442-458 - [c214]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c213]Ming Cai, Ian Reid:
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation. CVPR 2020: 3150-3160 - [c212]Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CVPR 2020: 14708-14717 - [c211]Hamish Pratt, Bernard J. E. Evans, Thomas Rowntree, Ian D. Reid, Steven D. Wiederman:
Recurrent Motion Neural Network for Low Resolution Drone Detection. DICTA 2020: 1-7 - [c210]Pulak Purkait, Tat-Jun Chin, Ian Reid:
NeuRoRA: Neural Robust Rotation Averaging. ECCV (24) 2020: 137-154 - [c209]Pulak Purkait, Christopher Zach, Ian Reid:
SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes. ECCV (24) 2020: 155-171 - [c208]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. ECCV (9) 2020: 177-195 - [c207]Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ian Reid:
Visual Odometry Revisited: What Should Be Learnt? ICRA 2020: 4203-4210 - [c206]Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid:
SPRINT: Subgraph Place Recognition for INtelligent Transportation. ICRA 2020: 5408-5414 - [c205]Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Qingsen Yan, Ian D. Reid:
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. IROS 2020: 8439-8446 - [c204]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. WACV 2020: 1959-1968 - [c203]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. WACV 2020: 1969-1978 - 2019
- [c202]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - [c201]Kejie Li, Ravi Garg, Ming Cai, Ian Reid:
Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette. BMVC 2019: 163 - [c200]Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, Silvio Savarese:
TopNet: Structural Point Cloud Decoder. CVPR 2019: 383-392 - [c199]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR 2019: 413-422 - [c198]Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. CVPR 2019: 658-666 - [c197]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760 - [c196]Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CVPR 2019: 7693-7702 - [c195]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CVPR 2019: 9126-9135 - [c194]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c193]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid:
Visual Localization under Appearance Change: A Filtering Approach. DICTA 2019: 1-8 - [c192]Thomas Rowntree, Carmine Pontecorvo, Ian D. Reid:
Real-Time Human Gaze Estimation. DICTA 2019: 1-7 - [c191]Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV 2019: 9318-9327 - [c190]Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
Object Captioning and Retrieval with Natural Language. ICCV Workshops 2019: 2584-2592 - [c189]Ming Cai, Huangying Zhan, Chamara Saroj Weerasekera, Kejie Li, Ian Reid:
Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression. ICCV Workshops 2019: 3769-3777 - [c188]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. ICML 2019: 6295-6304 - [c187]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Visual SLAM: Why Bundle Adjust? ICRA 2019: 2385-2391 - [c186]Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. ICRA 2019: 4811-4817 - [c185]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 - [c184]Mehdi Hosseinzadeh, Kejie Li, Yasir Latif, Ian D. Reid:
Real-Time Monocular Object-Model Aware Sparse SLAM. ICRA 2019: 7123-7129 - [c183]Pulak Purkait, Christopher Zach, Ian D. Reid:
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions. IROS 2019: 1998-2005 - [c182]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. ISBI 2019: 1057-1060 - [c181]Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. NeurIPS 2019: 35-45 - [c180]Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Hamid Rezatofighi, Silvio Savarese:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. NeurIPS 2019: 137-146 - [c179]Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang:
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. WACV 2019: 41-50 - [c178]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV 2019: 695-704 - 2018
- [c177]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. AAAI 2018: 3968-3975 - [c176]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI 2018: 7631-7638 - [c175]Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid:
Structure Aware SLAM Using Quadrics and Planes. ACCV (3) 2018: 410-426 - [c174]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. ACCV (5) 2018: 466-481 - [c173]Chamara Saroj Weerasekera, Ravi Garg, Yasir Latif, Ian D. Reid:
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. ACCV (5) 2018: 609-624 - [c172]Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid:
LieNet: Real-time Monocular Object Instance 6D Pose Estimation. BMVC 2018: 2 - [c171]Vladimir Nekrasov, Chunhua Shen, Ian Reid:
Light-Weight RefineNet for Real-Time Semantic Segmentation. BMVC 2018: 125 - [c170]Ming Cai, Chunhua Shen, Ian Reid:
A Hybrid Probabilistic Model for Camera Relocalization. BMVC 2018: 238 - [c169]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. CVPR 2018: 340-349 - [c168]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Bootstrapping the Performance of Webly Supervised Semantic Segmentation. CVPR 2018: 1363-1371 - [c167]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR 2018: 3674-3683 - [c166]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR 2018: 4252-4261 - [c165]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. CVPR 2018: 6106-6115 - [c164]Chao Ma, Chunhua Shen, Anthony R. Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian D. Reid:
Visual Question Answering With Memory-Augmented Networks. CVPR 2018: 6975-6984 - [c163]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR 2018: 7920-7928 - [c162]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c161]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) 2018: 21-37 - [c160]Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian D. Reid, Ming-Hsuan Yang:
Deep Regression Tracking with Shrinkage Loss. ECCV (14) 2018: 369-386 - [c159]Kejie Li, Trung Pham, Huangying Zhan, Ian D. Reid:
Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields. ECCV (12) 2018: 508-524 - [c158]Thanh-Toan Do, Anh Nguyen, Ian D. Reid:
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. ICRA 2018: 1-5 - [c157]Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid:
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. ICRA 2018: 1-9 - [c156]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 - [c155]Anton Milan, Trung Pham, K. Vijay, Douglas Morrison, Adam W. Tow, L. Liu, J. Erskine, R. Grinover, A. Gurman, T. Hunn, N. Kelly-Boxall, D. Lee, M. McTaggart, G. Rallos, A. Razjigaev, T. Rowntree, T. Shen, R. Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian David Reid, Peter I. Corke, Jürgen Leitner:
Semantic Segmentation from Limited Training Data. ICRA 2018: 1908-1915 - [c154]Yasir Latif, Ravi Garg, Michael Milford, Ian D. Reid:
Addressing Challenging Place Recognition Tasks Using Generative Adversarial Networks. ICRA 2018: 2349-2355 - [c153]Douglas Morrison, Adam W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, Sean Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, Anton Milan, Trung Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Zheyu Zhuang, Christopher F. Lehnert, Ian David Reid, Peter I. Corke, Jürgen Leitner:
Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge. ICRA 2018: 7757-7764 - [c152]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. MICCAI (1) 2018: 546-554 - 2017
- [c151]Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid:
Data-Driven Approximations to NP-Hard Problems. AAAI 2017: 1453-1459 - [c150]Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler:
Online Multi-Target Tracking Using Recurrent Neural Networks. AAAI 2017: 4225-4232 - [c149]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. BMVC 2017 - [c148]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. CVPR 2017: 2915-2924 - [c147]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c146]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. CVPR 2017: 5168-5177 - [c145]Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian D. Reid, Qinfeng Shi:
Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference. DICTA 2017: 1-8 - [c144]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV 2017: 589-598 - [c143]Pan Ji, Hongdong Li, Yuchao Dai, Ian D. Reid:
"Maximizing Rigidity" Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction from Multiple Perspective Views. ICCV 2017: 929-937 - [c142]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [c141]Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid:
DeepSetNet: Predicting Sets with Deep Neural Networks. ICCV 2017: 5257-5266 - [c140]Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid:
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV Workshops 2017: 930-939 - [c139]Chamara Saroj Weerasekera, Yasir Latif, Ravi Garg, Ian D. Reid:
Dense monocular reconstruction using surface normals. ICRA 2017: 2524-2531 - [c138]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep learning features at scale for visual place recognition. ICRA 2017: 3223-3230 - [c137]Jae-Hak Kim, Yasir Latif, Ian D. Reid:
RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. ICRA 2017: 5148-5154 - [c136]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony:
A discrete-time attitude observer on SO(3) for vision and GPS fusion. ICRA 2017: 5688-5695 - [c135]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid:
A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. ICRA 2017: 6495-6502 - [c134]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. IJCAI 2017: 2708-2714 - [c133]Jiaxin Li, Huangying Zhan, Ben M. Chen, Ian D. Reid, Gim Hee Lee:
Deep learning for 2D scan matching and loop closure. IROS 2017: 763-768 - [c132]Niko Sünderhauf, Trung T. Pham, Yasir Latif, Michael Milford, Ian D. Reid:
Meaningful maps with object-oriented semantic mapping. IROS 2017: 5079-5085 - [c131]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid:
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) 2017: 665-673 - [c130]Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid:
Deep Subspace Clustering Networks. NIPS 2017: 24-33 - [c129]Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid:
A Bayesian Data Augmentation Approach for Learning Deep Models. NIPS 2017: 2797-2806 - 2016
- [c128]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Matching Using m-Best Solutions. CVPR 2016: 136-145 - [c127]Trung T. Pham, Seyed Hamid Rezatofighi, Ian D. Reid, Tat-Jun Chin:
Efficient Point Process Inference for Large-Scale Object Detection. CVPR 2016: 2837-2845 - [c126]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid:
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation. CVPR 2016: 3194-3203 - [c125]Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR 2016: 5385-5394 - [c124]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-Based Deep Binary Embedding Networks. CVPR 2016: 5955-5964 - [c123]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA 2016: 1-6 - [c122]Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) 2016: 740-756 - [c121]Jae-Hak Kim, Cesar Cadena, Ian D. Reid:
Direct semi-dense SLAM for rolling shutter cameras. ICRA 2016: 1308-1315 - [c120]Cesar Cadena, Yasir Latif, Ian D. Reid:
Measuring the performance of single image depth estimation methods. IROS 2016: 4150-4157 - [c119]Trung T. Pham, Markus Eich, Ian D. Reid, Gordon F. Wyeth:
Geometrically consistent plane extraction for dense indoor 3D maps segmentation. IROS 2016: 4199-4204 - [c118]Cesar Cadena, Anthony R. Dick, Ian D. Reid:
Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding. Robotics: Science and Systems 2016 - 2015
- [c117]Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid:
Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. CVPR Workshops 2015: 18-25 - [c116]Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid:
The k-support norm and convex envelopes of cardinality and rank. CVPR 2015: 3349-3357 - [c115]Anton Milan, Laura Leal-Taixé, Konrad Schindler, Ian D. Reid:
Joint tracking and segmentation of multiple targets. CVPR 2015: 5397-5406 - [c114]Trung-Thanh Pham, Ian D. Reid, Yasir Latif, Stephen Gould:
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling. ICCV 2015: 2246-2254 - [c113]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Data Association Revisited. ICCV 2015: 3047-3055 - [c112]Cesar Cadena, Anthony R. Dick, Ian D. Reid:
A fast, modular scene understanding system using context-aware object detection. ICRA 2015: 4859-4866 - [c111]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. NIPS 2015: 361-369 - 2014
- [c110]Carl Yuheng Ren, Victor Adrian Prisacariu, Olaf Kähler, Ian D. Reid, David William Murray:
3D Tracking of Multiple Objects with Identical Appearance Using RGB-D Input. 3DV 2014: 47-54 - [c109]Anton Milan, Rikke Gade, Anthony R. Dick, Thomas B. Moeslund, Ian D. Reid:
Improving Global Multi-target Tracking with Local Updates. ECCV Workshops (3) 2014: 174-190 - [c108]Ian D. Reid:
Towards semantic visual SLAM. ICARCV 2014 - [c107]Aleksandr V. Segal, Ian D. Reid:
Hybrid Inference Optimization for robust pose graph estimation. IROS 2014: 2675-2682 - 2013
- [c106]Amaury Dame, Victor Adrian Prisacariu, Carl Yuheng Ren, Ian D. Reid:
Dense Reconstruction Using 3D Object Shape Priors. CVPR 2013: 1288-1295 - [c105]Carl Yuheng Ren, Victor Adrian Prisacariu, David William Murray, Ian D. Reid:
STAR3D: Simultaneous Tracking and Reconstruction of 3D Objects Using RGB-D Data. ICCV 2013: 1561-1568 - [c104]Aleksandr V. Segal, Ian D. Reid:
Latent Data Association: Bayesian Model Selection for Multi-target Tracking. ICCV 2013: 2904-2911 - [c103]Olaf Kähler, Ian D. Reid:
Efficient 3D Scene Labeling Using Fields of Trees. ICCV 2013: 3064-3071 - [c102]Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Ian D. Reid:
Simultaneous 3D tracking and reconstruction on a mobile phone. ISMAR 2013: 89-98 - 2012
- [c101]Victor Adrian Prisacariu, Aleksandr V. Segal, Ian D. Reid:
Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction. ACCV (1) 2012: 593-606 - [c100]Carl Yuheng Ren, Ian D. Reid:
A Unified Energy Minimization Framework for Model Fitting in Depth. ECCV Workshops (2) 2012: 72-82 - [c99]Yuzuko Utsumi, Eric Sommerlade, Nicola Bellotto, Ian D. Reid:
Cognitive active vision for human identification. ICRA 2012: 1238-1245 - [c98]Henry Carrillo, Ian D. Reid, José A. Castellanos:
On the comparison of uncertainty criteria for active SLAM. ICRA 2012: 2080-2087 - 2011
- [c97]Carl Yuheng Ren, Victor Adrian Prisacariu, Ian Reid:
Regressing Local to Global Shape Properties for Online Segmentation and Tracking. BMVC 2011: 1-10 - [c96]Victor Adrian Prisacariu, Ian D. Reid:
Nonlinear shape manifolds as shape priors in level set segmentation and tracking. CVPR 2011: 2185-2192 - [c95]Ben Benfold, Ian D. Reid:
Stable multi-target tracking in real-time surveillance video. CVPR 2011: 3457-3464 - [c94]Victor Adrian Prisacariu, Ian Reid:
Robust 3D hand tracking for human computer interaction. FG 2011: 368-375 - [c93]Alex Flint, David William Murray, Ian D. Reid:
Manhattan scene understanding using monocular, stereo, and 3D features. ICCV 2011: 2228-2235 - [c92]Ben Benfold, Ian D. Reid:
Unsupervised learning of a scene-specific coarse gaze estimator. ICCV 2011: 2344-2351 - [c91]Victor Adrian Prisacariu, Ian D. Reid:
Shared shape spaces. ICCV 2011: 2587-2594 - [c90]Eric Sommerlade, Ben Benfold, Ian D. Reid:
Gaze directed camera control for face image acquisition. ICRA 2011: 4227-4233 - [c89]Christopher Mei, Eric Sommerlade, Gabe Sibley, Paul M. Newman, Ian D. Reid:
Hidden view synthesis using real-time visual SLAM for simplifying video surveillance analysis. ICRA 2011: 4240-4245 - 2010
- [c88]Ian D. Reid, Ben Benfold, Alonso Patron-Perez, Eric Sommerlade:
Understanding Interactions and Guiding Visual Surveillance by Tracking Attention. ACCV Workshops (1) 2010: 380-389 - [c87]Alonso Patron-Perez, Marcin Marszalek, Andrew Zisserman, Ian Reid:
High Five: Recognising human interactions in TV shows. BMVC 2010: 1-11 - [c86]Ian Reid, Chuan Zhao:
Mean-Shift Visual Tracking with NP-Windows Density Estimates. BMVC 2010: 1-10 - [c85]Alex Flint, Christopher Mei, Ian D. Reid, David William Murray:
Growing semantically meaningful models for visual SLAM. CVPR 2010: 467-474 - [c84]Charles Bibby, Ian D. Reid:
Real-time tracking of multiple occluding objects using level sets. CVPR 2010: 1307-1314 - [c83]Alex Flint, Christopher Mei, David William Murray, Ian D. Reid:
A Dynamic Programming Approach to Reconstructing Building Interiors. ECCV (5) 2010: 394-407 - [c82]Victor Adrian Prisacariu, Radu Timofte, Karel Zimmermann, Ian D. Reid, Luc Van Gool:
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System. ICPR 2010: 3344-3347 - [c81]Charles Bibby, Ian D. Reid:
A hybrid SLAM representation for dynamic marine environments. ICRA 2010: 257-264 - [c80]Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M. Newman:
Planes, trains and automobiles - autonomy for the modern robot. ICRA 2010: 285-292 - [c79]Eric Sommerlade, Ian D. Reid:
Probabilistic surveillance with multiple active cameras. ICRA 2010: 440-445 - [c78]Brian Patrick Williams, Ian D. Reid:
On combining visual SLAM and visual odometry. ICRA 2010: 3494-3500 - 2009
- [c77]Ben Benfold, Ian Reid:
Guiding Visual Surveillance by Tracking Human Attention. BMVC 2009: 1-11 - [c76]Christopher Mei, Gabe Sibley, Mark Cummins, Paul M. Newman, Ian Reid:
A Constant-Time Efficient Stereo SLAM System. BMVC 2009: 1-11 - [c75]Victor Adrian Prisacariu, Ian D. Reid:
PWP3D: Real-time Segmentation and Tracking of 3D Objects. BMVC 2009: 1-10 - [c74]Alex Flint, Ian D. Reid, David William Murray:
Learning texton models for real-time scene context. CVPR Workshops 2009: 41-48 - [c73]David A. Ellis, Eric Sommerlade, Ian D. Reid:
Modelling pedestrian trajectory patterns with Gaussian processes. ICCV Workshops 2009: 1229-1234 - [c72]Nicola Bellotto, Eric Sommerlade, Ben Benfold, Charles Bibby, Ian D. Reid, Daniel Roth, Carles Fernández Tena, Luc Van Gool, Jordi Gonzàlez:
A distributed camera system for multi-resolution surveillance. ICDSC 2009: 1-8 - [c71]Eric Sommerlade, Ian D. Reid:
PhD forum: Probabilistic surveillance with multiple active cameras. ICDSC 2009: 1-2 - [c70]Dieter Sibley, Christopher Mei, Ian D. Reid, Paul Newman:
Adaptive relative bundle adjustment. Robotics: Science and Systems 2009 - 2008
- [c69]Ben Benfold, Ian Reid:
Colour Invariant Head Pose Classification in Low Resolution Video. BMVC 2008: 1-10 - [c68]Michael D. Breitenstein, Eric Sommerlade, Bastian Leibe, Luc Van Gool, Ian Reid:
Probabilistic Parameter Selection for Learning Scene Structure from Video. BMVC 2008: 1-10 - [c67]Ali Shahrokni, Christopher Mei, Philip H. S. Torr, Ian D. Reid:
From Visual Query to Visual Portrayal. BMVC 2008: 1-10 - [c66]Christopher Mei, Ian D. Reid:
Modeling and generating complex motion blur for real-time tracking. CVPR 2008 - [c65]Eric Sommerlade, Ian D. Reid:
Information-theoretic active scene exploration. CVPR 2008 - [c64]Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon:
Global stereo reconstruction under second order smoothness priors. CVPR 2008 - [c63]Charles Bibby, Ian D. Reid:
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors. ECCV (2) 2008: 831-844 - [c62]Chuan Zhao, Andrew Knight, Ian D. Reid:
Target tracking using mean-shift and affine structure. ICPR 2008: 1-5 - [c61]Brian Patrick Williams, Mark Cummins, José Neira, Paul M. Newman, Ian D. Reid, Juan D. Tardós:
An image-to-map loop closing method for monocular SLAM. IROS 2008: 2053-2059 - [c60]Eric Sommerlade, Ian D. Reid:
Influence of zoom selection on a Kalman filter. IROS 2008: 2565-2571 - 2007
- [c59]Ali Shahrokni, Oliver J. Woodford, Ian D. Reid:
Temporal Priors for Novel Video Synthesis. ACCV (2) 2007: 601-610 - [c58]Alonso Patron-Perez, Ian Reid:
A Probabilistic Framework for Recognizing Similar Actions using Spatio-Temporal Features. BMVC 2007: 1-10 - [c57]Philip A. Tresadern, Ian Reid:
An Evaluation of Shape Descriptors for Image Retrieval in Human Pose Estimation. BMVC 2007: 1-10 - [c56]Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon:
On New View Synthesis Using Multiview Stereo. BMVC 2007: 1-10 - [c55]Oliver J. Woodford, Ian D. Reid, Andrew W. Fitzgibbon:
Efficient new-view synthesis using pairwise dictionary priors. CVPR 2007 - [c54]Brian Patrick Williams, Georg Klein, Ian D. Reid:
Real-Time SLAM Relocalisation. ICCV 2007: 1-8 - [c53]Brian Patrick Williams, Paul Smith, Ian D. Reid:
Automatic Relocalisation for a Single-Camera Simultaneous Localisation and Mapping System. ICRA 2007: 2784-2790 - [c52]Charles Bibby, Ian D. Reid:
Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa. Robotics: Science and Systems 2007 - [c51]Laura A. Clemente, Andrew J. Davison, Ian D. Reid, José Neira, Juan D. Tardós:
Mapping Large Loops with a Single Hand-Held Camera. Robotics: Science and Systems 2007 - 2006
- [c50]Paul Smith, Ian Reid, Andrew J. Davison:
Real-Time Monocular SLAM with Straight Lines. BMVC 2006: 17-26 - [c49]Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon:
Fields of Experts for Image-based Rendering. BMVC 2006: 1109-1118 - [c48]Daniel Rowe, Ian D. Reid, Jordi Gonzàlez, Juan José Villanueva:
Unconstrained Multiple-People Tracking. DAGM-Symposium 2006: 505-514 - [c47]Neil Robertson, Ian D. Reid:
Estimating Gaze Direction from Low-Resolution Faces in Video. ECCV (2) 2006: 402-415 - 2005
- [c46]Ian Reid, Keith Richard Connor:
Multiview Segmentation and Tracking of Dynamic Occluding Layers. BMVC 2005 - [c45]Philip A. Tresadern, Ian D. Reid:
Articulated Structure from Motion by Factorization. CVPR (2) 2005: 1110-1115 - [c44]Neil Robertson, Ian D. Reid:
Behaviour Understanding in Video: A Combined Method. ICCV 2005: 808-815 - [c43]Charles Bibby, Ian D. Reid:
Visual Tracking at Sea. ICRA 2005: 1841-1846 - 2004
- [c42]Huang Fei, Ian Reid:
Dynamic Classifier for Non-rigid Human motion analysis. BMVC 2004: 1-10 - [c41]Nicholas Molton, Andrew J. Davison, Ian Reid:
Locally Planar Patch Features for Real-Time Structure from Motion. BMVC 2004: 1-10 - [c40]Philip A. Tresadern, Ian D. Reid:
Uncalibrated and Unsynchronized Human Motion Capture: A Stereo Factorization Approach. CVPR (1) 2004: 128-134 - [c39]Huang Fei, Ian D. Reid:
Joint Bayes Filter: A Hybrid Tracker for Non-rigid Hand Motion Recognition. ECCV (3) 2004: 497-508 - 2003
- [c38]Huang Fei, Ian D. Reid:
Probabilistic Tracking and Recognition of Non-Rigid Hand Motion. AMFG 2003: 60-67 - [c37]Keith Richard Connor, Ian Reid:
A Multiple View Layered Representation for Dynamic Novel View Synthesis. BMVC 2003: 1-10 - [c36]Philip A. Tresadern, Ian Reid:
Synchronizing Image Sequences of Non-Rigid Objects. BMVC 2003: 1-10 - [c35]Joss Knight, Andrew Zisserman, Ian D. Reid:
Linear Auto-Calibration for Ground Plane Motion. CVPR (1) 2003: 503-510 - 2002
- [c34]Keith Richard Connor, Ian Reid:
Novel View Specification and Synthesis. BMVC 2002: 1-10 - 2001
- [c33]Jonathan Deutscher, Andrew J. Davison, Ian D. Reid:
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture. CVPR (2) 2001: 669-676 - [c32]Joss Knight, Andrew J. Davison, Ian D. Reid:
Towards constant time SLAM using postponement. IROS 2001: 405-413 - 2000
- [c31]Jonathan Deutscher, Andrew Blake, Ian D. Reid:
Articulated Body Motion Capture by Annealed Particle Filtering. CVPR 2000: 2126-2133 - [c30]Joss Knight, Ian D. Reid:
Binocular Self-Alignment and Calibration from Planar Scenes. ECCV (2) 2000: 462-476 - [c29]Eric Hayman, Lourdes de Agapito, Ian D. Reid, David William Murray:
The Role of Self-Calibration in Euclidean Reconstruction from Two Rotating and Zooming Cameras. ECCV (2) 2000: 477-492 - [c28]Joss Knight, Ian D. Reid:
Self-Calibration of a Stereo Rig in a Planar Scene by Data Combination. ICPR 2000: 1411-1414 - [c27]Luis Baumela, Lourdes Agapito, Ian D. Reid, Pablo Bustos:
Motion Estimation Using the Differential Epipolar Equation. ICPR 2000: 3848-3851 - [c26]Joss Knight, Ian D. Reid:
Active Visual Alignment of a Mobile Stereo Camera Platform. ICRA 2000: 3203-3208 - 1999
- [c25]Antonio Criminisi, Ian Reid, Andrew Zisserman:
Single View Metrology. ICCV 1999: 434-441 - [c24]Richard I. Hartley, Lourdes de Agapito, Ian D. Reid, Eric Hayman:
Camera Calibration and the Search for Infinity. ICCV 1999: 510-517 - 1998
- [c23]Lourdes de Agapito, Eric Hayman, Ian Reid:
Self-Calibration of a Rotating Camera with Varying Intrinsic Parameters. BMVC 1998: 1-10 - [c22]David William Murray, Ian D. Reid, Richard L. Thompson:
Real-time Visual Recovery of Pose using Line Tracking in Multiple Cameras. BMVC 1998: 1-11 - [c21]Ian Reid, A. North:
3D Trajectories from a Single Viewpoint using Shadows. BMVC 1998: 1-10 - [c20]Antonio Criminisi, Ian D. Reid, Andrew Zisserman:
Duality, Rigidity and Planar Parallax. ECCV (2) 1998: 846-861 - 1997
- [c19]Antonio Criminisi, Ian Reid, Andrew Zisserman:
A Plane Measuring Device. BMVC 1997 - 1996
- [c18]Eric Hayman, Ian D. Reid, David William Murray:
Zooming while Tracking Using Affine Transfer. BMVC 1996: 1-10 - [c17]David William Murray, Ian D. Reid, Andrew J. Davison:
Steering and Navigation Behaviours Using Fixation. BMVC 1996: 1-10 - [c16]Ian D. Reid, Andrew Zisserman:
Goal-directed Video Metrology. ECCV (2) 1996: 647-658 - 1995
- [c15]Andrew J. Davison, Ian D. Reid, David William Murray:
The Active Camera as a Projective Pointing Device. BMVC 1995: 1-10 - [c14]Ian D. Reid, Paul A. Beardsley:
Self-alignment of a Binocular Robot. BMVC 1995: 1-10 - [c13]Paul A. Beardsley, Ian D. Reid, Andrew Zisserman, David William Murray:
Active Visual Navigation Using Non-Metric Structure. ICCV 1995: 58- - [c12]Stuart M. Fairley, Ian D. Reid, David William Murray:
Transfer of Fixation for an Active Stereo Platform via Affine Structure Recovery. ICCV 1995: 1100-1105 - 1994
- [c11]Stuart M. Fairley, Ian D. Reid, David William Murray:
Stereo Fixation using Affne Transfer. BMVC 1994: 1-10 - [c10]Philip F. McLauchlan, Ian D. Reid, David William Murray:
Recursive Affine Structure and Motion from Image Sequences. ECCV (1) 1994: 217-224 - [c9]Ian D. Reid, David William Murray, Kevin J. Bradshaw:
Towards Active Exploration of Static and Dynamic Scene Geometry. ICRA 1994: 718-723 - 1993
- [c8]Kevin J. Bradshaw, Philip F. McLauchlan, Ian D. Reid, David William Murray:
Saccade and Pursuit on an Active Head/Eye Platform. BMVC 1993: 1-10 - [c7]Ian D. Reid, David William Murray:
Tracking foveated corner clusters using affine structure. ICCV 1993: 76-83 - [c6]Ian D. Reid, J. Michael Brady:
Recognition of object classes from range data. ICCV 1993: 302-307 - [c5]David William Murray, Philip F. McLauchlan, Ian D. Reid, Paul M. Sharkey:
Reactions to peripheral image motion using a head/eye platform. ICCV 1993: 403-411 - [c4]Ian D. Reid, Kevin J. Bradshaw, Philip F. McLauchlan, Paul M. Sharkey, David William Murray:
From saccades to smooth pursuit: real-time gaze control using motion feedback. IROS 1993: 1013-1020 - 1992
- [c3]Philip F. McLauchlan, Ian Reid, David William Murray:
Coarse Image Motion for Saccade Control. BMVC 1992: 1-10 - 1991
- [c2]Ian Reid, J. Michael Brady:
Recognizing Parameterized Objects Using 3D Edges. BMVC 1991: 1-4 - 1990
- [c1]Ian D. Reid:
Recognition of Parametrised Models from 3D Data. MVA 1990: 347-350
Parts in Books or Collections
- 2019
- [p1]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 163-178
Editorship
- 2023
- [e6]Rahul Narain, Kaushik Mitra, Ian Reid:
Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2023, Rupnagar, India, December 15-17, 2023. ACM 2023 [contents] - 2015
- [e5]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I. Lecture Notes in Computer Science 9003, Springer 2015, ISBN 978-3-319-16864-7 [contents] - [e4]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II. Lecture Notes in Computer Science 9004, Springer 2015, ISBN 978-3-319-16807-4 [contents] - [e3]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III. Lecture Notes in Computer Science 9005, Springer 2015, ISBN 978-3-319-16810-4 [contents] - [e2]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 9006, Springer 2015, ISBN 978-3-319-16816-6 [contents] - [e1]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V. Lecture Notes in Computer Science 9007, Springer 2015, ISBN 978-3-319-16813-5 [contents]
Informal and Other Publications
- 2024
- [i149]Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre:
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes. CoRR abs/2401.15834 (2024) - [i148]Ravi Hammond, Dustin Craggs, Mingyu Guo, Jakob Foerster, Ian D. Reid:
Symmetry-Breaking Augmentations for Ad Hoc Teamwork. CoRR abs/2402.09984 (2024) - [i147]Zeyu Zhang, Akide Liu, Ian D. Reid, Richard Hartley, Bohan Zhuang, Hao Tang:
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM. CoRR abs/2403.07487 (2024) - [i146]Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip H. S. Torr, Victor Adrian Prisacariu:
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR abs/2403.08733 (2024) - [i145]Jiajun Deng, Sha Zhang, Feras Dayoub, Wanli Ouyang, Yanyong Zhang, Ian Reid:
PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest. CoRR abs/2403.09212 (2024) - 2023
- [i144]Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian D. Reid, Markus Wagner, Tat-Jun Chin:
Assessing Domain Gap for Continual Domain Adaptation in Object Detection. CoRR abs/2302.10396 (2023) - [i143]Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. CoRR abs/2307.01489 (2023) - [i142]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. CoRR abs/2307.02790 (2023) - [i141]Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf:
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning. CoRR abs/2307.06135 (2023) - 2022
- [i140]Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li:
You Only Cut Once: Boosting Data Augmentation with a Single Cut. CoRR abs/2201.12078 (2022) - [i139]Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. CoRR abs/2203.01037 (2022) - [i138]Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid:
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. CoRR abs/2205.15955 (2022) - [i137]Matthew Howe, James Bockman, Adrian Orenstein, Stefan Podgorski, Sam Bahrami, Ian D. Reid:
The Edge of Disaster: A Battle Between Autonomous Racing and Safety. CoRR abs/2206.15012 (2022) - [i136]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. CoRR abs/2209.13168 (2022) - [i135]Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen:
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes. CoRR abs/2211.03660 (2022) - [i134]Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid:
What Images are More Memorable to Machines? CoRR abs/2211.07625 (2022) - [i133]Huangying Zhan, Hamid Rezatofighi, Ian D. Reid:
Predicting Topological Maps for Visual Navigation in Unexplored Environments. CoRR abs/2211.12649 (2022) - [i132]Huangying Zhan, Jiyang Zheng, Yi Xu, Ian D. Reid, Hamid Rezatofighi:
ActiveRMAP: Radiance Field for Active Mapping And Planning. CoRR abs/2211.12656 (2022) - [i131]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR abs/2211.14512 (2022) - 2021
- [i130]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR abs/2101.00443 (2021) - [i129]Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian D. Reid:
DF-VO: What Should Be Learnt for Visual Odometry? CoRR abs/2103.00933 (2021) - [i128]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR abs/2103.03629 (2021) - [i127]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Noisy Label Learning for Large-scale Medical Image Classification. CoRR abs/2103.04053 (2021) - [i126]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR abs/2103.04173 (2021) - [i125]Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CoRR abs/2103.08292 (2021) - [i124]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR abs/2103.11395 (2021) - [i123]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. CoRR abs/2104.04029 (2021) - [i122]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. CoRR abs/2105.11610 (2021) - [i121]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection. CoRR abs/2106.08827 (2021) - [i120]Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian D. Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe:
ODAM: Object Detection, Association, and Mapping using Posed RGB Video. CoRR abs/2108.10165 (2021) - [i119]Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid:
Robotic Vision for Space Mining. CoRR abs/2109.12109 (2021) - [i118]Matthew Howe, Ian Reid, Jamie Mackenzie:
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data. CoRR abs/2110.10966 (2021) - [i117]Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR abs/2110.11809 (2021) - 2020
- [i116]Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena:
Depth Based Semantic Scene Completion with Position Importance Aware Loss. CoRR abs/2001.10709 (2020) - [i115]Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR abs/2001.11845 (2020) - [i114]Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond:
Automatic Pruning for Quantized Neural Networks. CoRR abs/2002.00523 (2020) - [i113]Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond:
Switchable Precision Neural Networks. CoRR abs/2002.02815 (2020) - [i112]Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian D. Reid:
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. CoRR abs/2002.04227 (2020) - [i111]Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian D. Reid, Cesar Cadena:
3D Gated Recurrent Fusion for Semantic Scene Completion. CoRR abs/2002.07269 (2020) - [i110]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
Real-time Image Smoothing via Iterative Least Squares. CoRR abs/2003.07504 (2020) - [i109]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i108]Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CoRR abs/2005.05125 (2020) - [i107]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid:
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue. CoRR abs/2006.02708 (2020) - [i106]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. CoRR abs/2007.02632 (2020) - [i105]Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi:
Socially and Contextually Aware Human Motion and Pose Forecasting. CoRR abs/2007.06843 (2020) - [i104]Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? CoRR abs/2008.03533 (2020) - [i103]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR abs/2010.07548 (2020) - [i102]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR abs/2011.00450 (2020) - [i101]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR abs/2011.05704 (2020) - [i100]Kejie Li, Hamid Rezatofighi, Ian D. Reid:
MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos. CoRR abs/2012.05360 (2020) - 2019
- [i99]Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid:
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR abs/1901.03796 (2019) - [i98]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR abs/1901.04623 (2019) - [i97]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Visual SLAM: Why Bundle Adjust? CoRR abs/1902.03747 (2019) - [i96]Seyed Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression. CoRR abs/1902.09630 (2019) - [i95]Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. CoRR abs/1903.00112 (2019) - [i94]Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CoRR abs/1903.00620 (2019) - [i93]Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. CoRR abs/1903.10869 (2019) - [i92]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. CoRR abs/1903.11236 (2019) - [i91]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. CoRR abs/1904.02365 (2019) - [i90]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. CoRR abs/1904.02371 (2019) - [i89]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - [i88]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019) - [i87]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. CoRR abs/1904.11643 (2019) - [i86]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) - [i85]Pulak Purkait, Christopher Zach, Ian D. Reid:
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions. CoRR abs/1906.02885 (2019) - [i84]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i83]Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Seyed Hamid Rezatofighi, Silvio Savarese:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. CoRR abs/1907.03395 (2019) - [i82]Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/1907.09642 (2019) - [i81]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR abs/1908.00178 (2019) - [i80]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - [i79]Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid:
In defense of OSVOS. CoRR abs/1908.06692 (2019) - [i78]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid:
An Evaluation of Feature Matchers forFundamental Matrix Estimation. CoRR abs/1908.09474 (2019) - [i77]Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. CoRR abs/1908.10553 (2019) - [i76]Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian, Ian D. Reid:
Visual Odometry Revisited: What Should Be Learnt? CoRR abs/1909.09803 (2019) - [i75]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. CoRR abs/1909.09934 (2019) - [i74]Yu Liu, Lingqiao Liu, Haokui Zhang, Seyed Hamid Rezatofighi, Ian D. Reid:
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. CoRR abs/1909.13046 (2019) - [i73]Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid:
Improved Visual Localization via Graph Smoothing. CoRR abs/1911.02961 (2019) - [i72]Pulak Purkait, Tat-Jun Chin, Ian D. Reid:
NeuRoRA: Neural Robust Rotation Averaging. CoRR abs/1912.04485 (2019) - [i71]Pulak Purkait, Christopher Zach, Ian David Reid:
Learning to generate new indoor scenes. CoRR abs/1912.04554 (2019) - 2018
- [i70]Thanh-Toan Do, Ming Cai, Trung Pham, Ian D. Reid:
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image. CoRR abs/1802.10367 (2018) - [i69]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction. CoRR abs/1803.03893 (2018) - [i68]Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
Object Captioning and Retrieval with Natural Language. CoRR abs/1803.06152 (2018) - [i67]Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid:
Towards Semantic SLAM: Points, Planes and Objects. CoRR abs/1804.09111 (2018) - [i66]Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR abs/1805.00613 (2018) - [i65]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) - [i64]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. CoRR abs/1805.10884 (2018) - [i63]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i62]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. CoRR abs/1807.07784 (2018) - [i61]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR abs/1808.00136 (2018) - [i60]JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. CoRR abs/1808.02267 (2018) - [i59]Bohan Zhuang, Chunhua Shen, Ian D. Reid:
Training Compact Neural Networks with Binary Weights and Low Precision Activations. CoRR abs/1808.02631 (2018) - [i58]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) - [i57]Mehdi Hosseinzadeh, Kejie Li, Yasir Latif, Ian D. Reid:
Real-Time Monocular Object-Model Aware Sparse SLAM. CoRR abs/1809.09149 (2018) - [i56]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. CoRR abs/1809.09404 (2018) - [i55]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Diagnostics in Semantic Segmentation. CoRR abs/1809.10328 (2018) - [i54]Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Light-Weight RefineNet for Real-Time Semantic Segmentation. CoRR abs/1810.03272 (2018) - [i53]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) - [i52]Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CoRR abs/1810.10804 (2018) - [i51]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. CoRR abs/1811.01045 (2018) - [i50]Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR abs/1811.08063 (2018) - [i49]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR abs/1811.10413 (2018) - [i48]Kejie Li, Ravi Garg, Ming Cai, Ian D. Reid:
Optimizable Object Reconstruction from a Single View. CoRR abs/1811.11921 (2018) - 2017
- [i47]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep Learning Features at Scale for Visual Place Recognition. CoRR abs/1701.05105 (2017) - [i46]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. CoRR abs/1701.07122 (2017) - [i45]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-aware Interaction Recognition. CoRR abs/1703.06246 (2017) - [i44]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid:
A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser Calibration. CoRR abs/1704.00887 (2017) - [i43]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony:
A Discrete-Time Attitude Observer on SO(3) for Vision and GPS Fusion. CoRR abs/1704.00888 (2017) - [i42]B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. CoRR abs/1704.01285 (2017) - [i41]Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth:
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR abs/1704.02781 (2017) - [i40]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. CoRR abs/1705.09052 (2017) - [i39]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Care about you: towards large-scale human-centric visual relationship detection. CoRR abs/1705.09892 (2017) - [i38]Pan Ji, Ian D. Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann:
Low-Rank Kernel Subspace Clustering. CoRR abs/1707.04974 (2017) - [i37]Pan Ji, Hongdong Li, Yuchao Dai, Ian D. Reid:
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views. CoRR abs/1707.05009 (2017) - [i36]Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid:
Deep Subspace Clustering Networks. CoRR abs/1709.02508 (2017) - [i35]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. CoRR abs/1709.04093 (2017) - [i34]Douglas Morrison, Adam W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, Sean Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, Anton Milan, Trung Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Zheyu Zhuang, Christopher F. Lehnert, Ian D. Reid, Peter Corke, Jürgen Leitner:
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge. CoRR abs/1709.06283 (2017) - [i33]Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid:
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. CoRR abs/1709.07158 (2017) - [i32]Thanh-Toan Do, Anh Nguyen, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. CoRR abs/1709.07326 (2017) - [i31]Anton Milan, Trung Pham, K. Vijay, Douglas Morrison, Adam W. Tow, L. Liu, J. Erskine, R. Grinover, A. Gurman, T. Hunn, N. Kelly-Boxall, D. Lee, M. McTaggart, G. Rallos, A. Razjigaev, T. Rowntree, T. Shen, R. Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian D. Reid, Peter I. Corke, Jürgen Leitner:
Semantic Segmentation from Limited Training Data. CoRR abs/1709.07665 (2017) - [i30]Yasir Latif, Ravi Garg, Michael Milford, Ian David Reid:
Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks. CoRR abs/1709.08810 (2017) - [i29]M. McTaggart, Douglas Morrison, Adam W. Tow, R. Smith, Norton Kelly-Boxall, Anton Milan, Trung Pham, Zheyu Zhuang, Jürgen Leitner, Ian David Reid, Peter Corke, Christopher F. Lehnert:
Cartman: Cartesian Manipulator for Warehouse Automation in Cluttered Environments. CoRR abs/1710.00967 (2017) - [i28]Sean Wade-McCue, N. Kelly-Boxall, M. McTaggart, Douglas Morrison, Adam W. Tow, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, Anton Milan, Trung Pham, G. Rallos, A. Razjigaev, T. Rowntree, R. Smith, K. Vijay, Zheyu Zhuang, Christopher F. Lehnert, Ian David Reid, Peter I. Corke, Jürgen Leitner:
Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge. CoRR abs/1710.01439 (2017) - [i27]Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid:
A Bayesian Data Augmentation Approach for Learning Deep Models. CoRR abs/1710.10564 (2017) - [i26]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR abs/1711.00205 (2017) - [i25]Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction. CoRR abs/1711.05919 (2017) - [i24]Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR abs/1711.06370 (2017) - [i23]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR abs/1711.07280 (2017) - [i22]Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning. CoRR abs/1711.07613 (2017) - 2016
- [i21]Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOT16: A Benchmark for Multi-Object Tracking. CoRR abs/1603.00831 (2016) - [i20]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-based Deep Binary Embedding Networks. CoRR abs/1603.02844 (2016) - [i19]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured models for Semantic Segmentation. CoRR abs/1603.03183 (2016) - [i18]Ravi Garg, Vijay Kumar B. G, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. CoRR abs/1603.04992 (2016) - [i17]Ravi Garg, Anders P. Eriksson, Ian D. Reid:
Non-linear Dimensionality Regularizer for Solving Inverse Problems. CoRR abs/1603.05015 (2016) - [i16]Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Konrad Schindler, Ian D. Reid:
Online Multi-target Tracking using Recurrent Neural Networks. CoRR abs/1604.03635 (2016) - [i15]Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian D. Reid, John J. Leonard:
Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age. CoRR abs/1606.05830 (2016) - [i14]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR abs/1608.00486 (2016) - [i13]Niko Sünderhauf, Trung-Thanh Pham, Yasir Latif, Michael Milford, Ian D. Reid:
Meaningful Maps - Object-Oriented Semantic Mapping. CoRR abs/1609.07849 (2016) - [i12]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. CoRR abs/1611.06612 (2016) - [i11]Seyed Hamid Rezatofighi, Vijay Kumar B. G, Anton Milan, Ehsan Abbasnejad, Anthony R. Dick, Ian D. Reid:
DeepSetNet: Predicting Sets with Deep Neural Networks. CoRR abs/1611.08998 (2016) - [i10]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in groups: a weakly-supervised deep learning framework for learning from web data. CoRR abs/1611.09960 (2016) - [i9]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016) - 2015
- [i8]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. CoRR abs/1502.07411 (2015) - [i7]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Efficient piecewise training of deep structured models for semantic segmentation. CoRR abs/1504.01013 (2015) - [i6]Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. CoRR abs/1504.01942 (2015) - [i5]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. CoRR abs/1506.02108 (2015) - [i4]Carl Yuheng Ren, Victor Adrian Prisacariu, Ian D. Reid:
gSLICr: SLIC superpixels at over 250Hz. CoRR abs/1509.04232 (2015) - [i3]B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR abs/1512.09272 (2015) - 2014
- [i2]Victor Adrian Prisacariu, Olaf Kähler, Ming-Ming Cheng, Carl Yuheng Ren, Julien P. C. Valentin, Philip H. S. Torr, Ian D. Reid, David William Murray:
A Framework for the Volumetric Integration of Depth Images. CoRR abs/1410.0925 (2014) - 2013
- [i1]Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online Unsupervised Feature Learning for Visual Tracking. CoRR abs/1310.1690 (2013)
Coauthor Index
Filipe R. Cordeiro
aka: Filipe Rolim Cordeiro
aka: Filipe Rolim Cordeiro
Anh-Dzung Doan
aka: Dzung A. Doan
aka: Dzung A. Doan
Vijay Kumar B. G
aka: B. G. Vijay Kumar
aka: B. G. Vijay Kumar
Seyed Hamid Rezatofighi
aka: Hamid Rezatofighi
aka: Hamid Rezatofighi
[j72] [j67] [j66] [j64] [j62] [j60] [j52] [j48] [j45] [j41] [j40] [c214] [c204] [c203] [c199] [c197] [c195] [c185] [c181] [c176] [c171] [c170] [c168] [c166] [c165] [c164] [c163] [c149] [c148] [c147] [c146] [c144] [c138] [c134] [c126] [c124] [c117] [c111] [i135] [i122] [i110] [i107] [i92] [i91] [i90] [i88] [i82] [i80] [i77] [i75] [i59] [i58] [i55] [i54] [i52] [i49] [i47] [i46] [i45] [i40] [i39] [i26] [i24] [i22] [i20] [i19] [i12] [i10] [i9] [i8] [i7] [i5] [i1]
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