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Ian Reid

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels


Oct 22, 2021
Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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* Paper accepted at BMVC'21: The 32nd British Machine Vision Conference 
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Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data


Oct 21, 2021
Matthew Howe, Ian Reid, Jamie Mackenzie

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* Paper accepted at The 32nd British Machine Vision Conference, BMVC 2021 
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Robotic Vision for Space Mining


Sep 30, 2021
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 Reid

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* This paper describes our 3rd place and innovation award winning solution to the NASA Space Robotics Challenge Phase 2 
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ODAM: Object Detection, Association, and Mapping using Posed RGB Video


Aug 23, 2021
Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard Newcombe

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* Accepted in ICCV 2021 as oral 
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JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection


Jun 16, 2021
Mahsa Ehsanpour, Fatemeh Saleh, Silvio Savarese, Ian Reid, Hamid Rezatofighi

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Unsupervised Scale-consistent Depth Learning from Video


May 25, 2021
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid

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* Accept to IJCV. The source code is available at https://github.com/JiawangBian/SC-SfMLearner-Release 
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TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild


Apr 08, 2021
Vida Adeli, Mahsa Ehsanpour, Ian Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi

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ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning


Mar 21, 2021
Ragav Sachdeva, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging


Mar 16, 2021
Álvaro Parra, Shin-Fang Chng, Tat-Jun Chin, Anders Eriksson, Ian Reid

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* Accepted to CVPR 2021 as an oral presentation 
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LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment


Mar 06, 2021
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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Noisy Label Learning for Large-scale Medical Image Classification


Mar 06, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification


Mar 05, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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DF-VO: What Should Be Learnt for Visual Odometry?


Mar 01, 2021
Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian Reid

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* extended version of ICRA-2020 paper (Visual Odometry Revisited: What Should Be Learnt?) 
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Semantics for Robotic Mapping, Perception and Interaction: A Survey


Jan 02, 2021
Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke, Michael Milford

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* Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224 (2020) 
 * 81 pages, 1 figure, published in Foundations and Trends in Robotics, 2020 
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MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos


Dec 09, 2020
Kejie Li, Hamid Rezatofighi, Ian Reid

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EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels


Nov 11, 2020
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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* Paper accepted at WACV'21: Winter Conference on Applications of Computer Vision 
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HM4: Hidden Markov Model with Memory Management for Visual Place Recognition


Nov 01, 2020
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian Reid

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* Accepted for publication by IEEE Robotics and Automation Letters 
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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking


Oct 15, 2020
Patrick Dendorfer, Aljoša Ošep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé

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* Accepted at IJCV 
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How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?


Aug 08, 2020
Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian Reid

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Socially and Contextually Aware Human Motion and Pose Forecasting


Jul 14, 2020
Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi

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* Accepted in RA-L and IROS 
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Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos


Jul 06, 2020
Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid, Hamid Rezatofighi

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* Accepted in the European Conference On Computer Vision (ECCV) 2020 
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Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue


Jun 04, 2020
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid

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* See codes, data, and demos in GitHub page (https://github.com/JiawangBian/Unsupervised-Indoor-Depth) 
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FroDO: From Detections to 3D Objects


May 11, 2020
Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe

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* To be published in CVPR 2020. The first two authors contributed equally 
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MOT20: A benchmark for multi object tracking in crowded scenes


Mar 19, 2020
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé

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* The sequences of the new MOT20 benchmark were previously presented in the CVPR 2019 tracking challenge ( arXiv:1906.04567 ). The differences between the two challenges are: - New and corrected annotations - New sequences, as we had to crop and transform some old sequences to achieve higher quality in the annotations. - New baselines evaluations and different sets of public detections 
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3D Gated Recurrent Fusion for Semantic Scene Completion


Feb 17, 2020
Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian Reid, Cesar Cadena

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* 13 pages 
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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning


Feb 11, 2020
Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid

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* 8 pages 
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Switchable Precision Neural Networks


Feb 07, 2020
Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond

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Automatic Pruning for Quantized Neural Networks


Feb 03, 2020
Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond

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Depth Based Semantic Scene Completion with Position Importance Aware Loss


Jan 30, 2020
Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena

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* ICRA2020 In Conjuction With RAL 
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Learn to Predict Sets Using Feed-Forward Neural Networks


Jan 30, 2020
Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian Reid

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* arXiv admin note: substantial text overlap with arXiv:1805.00613 
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