Ian D. Reid

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 246

Top Venues

Publications

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 (2024)
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) (2024)
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 (2023)
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 (2023)
Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
Semantic Segmentation on 3D Point Clouds with High Density Variations. CoRR (2023)
Hamish Pratt, Bernard J. E. Evans, Ian D. Reid, Steven D. Wiederman
Ball Detection for a Lightweight Mobile Platform. DICTA (2023)
Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
Semantic Segmentation on 3D Point Clouds with High Density Variations. DICTA (2023)
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) (2023)
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)
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) (2023)
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)
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)
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 (2023)
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 (2023)
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)
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 (2022)
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) (2022)
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 (2022)
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)
Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid
What Images are More Memorable to Machines? CoRR (2022)
Huangying Zhan, Hamid Rezatofighi, Ian D. Reid
Predicting Topological Maps for Visual Navigation in Unexplored Environments. CoRR (2022)
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) (2022)
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) (2022)
Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. CoRR (2022)
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 (2022)
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)
Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. ICRA (2022)
Huangying Zhan, Jiyang Zheng, Yi Xu, Ian D. Reid, Hamid Rezatofighi
ActiveRMAP: Radiance Field for Active Mapping And Planning. CoRR (2022)
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 (2022)
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)
Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping. CoRR (2022)
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 (2022)
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 (2021)
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 (2021)
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)
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 (2021)
Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian D. Reid
DF-VO: What Should Be Learnt for Visual Odometry? CoRR (2021)
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) (2021)
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 (2021)
Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR (2021)
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 (2021)
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 (2021)
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 (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 D. Reid
Robotic Vision for Space Mining. CoRR (2021)
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 (2021)
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)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Noisy Label Learning for Large-scale Medical Image Classification. CoRR (2021)
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)
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 (2021)
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)
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)
Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid
Architecture Search of Dynamic Cells for Semantic Video Segmentation. WACV (2020)
Luis Guerra, Bohan Zhuang, Ian D. Reid, Tom Drummond
Automatic Pruning for Quantized Neural Networks. CoRR (2020)
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 (2020)
Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) (2020)
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)
Kejie Li, Hamid Rezatofighi, Ian D. Reid
MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos. CoRR (2020)
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) (2020)
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)
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 (2020)
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 (2020)
Vladimir Nekrasov, Chunhua Shen, Ian D. Reid
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. WACV (2020)
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) (2020)
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 (2020)
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 (2020)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR (2020)
Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR (2020)
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 (2020)
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 (2020)
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)
Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian D. Reid, Cesar Cadena
3D Gated Recurrent Fusion for Semantic Scene Completion. CoRR (2020)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR (2020)
Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid
Real-time Image Smoothing via Iterative Least Squares. CoRR (2020)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. CoRR (2019)
Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian, Ian D. Reid
Visual Odometry Revisited: What Should Be Learnt? CoRR (2019)
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)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR (2019)
Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid
Architecture Search of Dynamic Cells for Semantic Video Segmentation. CoRR (2019)
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 (2019)
Pulak Purkait, Tat-Jun Chin, Ian D. Reid
NeuRoRA: Neural Robust Rotation Averaging. CoRR (2019)
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)
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 (2019)
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)
Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, Silvio Savarese
TopNet: Structural Point Cloud Decoder. CVPR (2019)
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)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? CoRR (2019)
Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CVPR (2019)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
Structured Binary Neural Networks for Image Recognition. CoRR (2019)
Akansel Cosgun, Thomas Rowntree, Ian D. Reid, Tom Drummond
Practical Robot Learning from Demonstrations using Deep End-to-End Training. CoRR (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? ICRA (2019)
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 (2019)
Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid
Improved Visual Localization via Graph Smoothing. CoRR (2019)
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)
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)
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 (2019)
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 (2019)
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)
Vladimir Nekrasov, Chunhua Shen, Ian D. Reid
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. CoRR (2019)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. ICML (2019)
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 (2019)

Ian D. Reid.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ian D. Reid