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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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2020 – today
- 2024
[j74]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)- [j73]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) - [j72]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Surabhi Gupta, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Trans. Intell. Transp. Syst. 25(9): 11635-11647 (2024) - [c237]Duy-Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian D. Reid, Jianfei Cai, Hamid Rezatofighi:
JRDB-PanoTrack: An Open-World Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments. CVPR 2024: 22325-22334 - [c236]Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) 2024: 81-99 - [c235]Zeyu Zhang, Akide Liu, Ian D. Reid, Richard I. Hartley, Bohan Zhuang, Hao Tang:
Motion Mamba: Efficient and Long Sequence Motion Generation. ECCV (1) 2024: 265-282 - [c234]Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian D. Reid:
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. ICRA 2024: 4090-4097 - [i164]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) - [i163]Ravi Hammond, Dustin Craggs, Mingyu Guo, Jakob Foerster, Ian D. Reid:
Symmetry-Breaking Augmentations for Ad Hoc Teamwork. CoRR abs/2402.09984 (2024) - [i162]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) - [i161]Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu:
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR abs/2403.08733 (2024) - [i160]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) - [i159]Duy-Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian D. Reid, Jianfei Cai, Hamid Rezatofighi:
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments. CoRR abs/2404.01686 (2024) - [i158]Mahsa Ehsanpour, Ian D. Reid, Hamid Rezatofighi:
Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning. CoRR abs/2404.05578 (2024) - [i157]Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian Reid:
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. CoRR abs/2405.05792 (2024) - [i156]Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu:
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR abs/2405.10255 (2024) - [i155]Anh-Dzung Doan, Bach Long Nguyen, Terry Lim, Madhuka Jayawardhana, Surabhi Gupta, Christophe Guettier, Ian Reid, Markus Wagner, Tat-Jun Chin:
Weakly Supervised Test-Time Domain Adaptation for Object Detection. CoRR abs/2407.05607 (2024) - [i154]Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR abs/2407.07171 (2024) - [i153]Zeyu Zhang, Akide Liu, Qi Chen, Feng Chen, Ian Reid, Richard I. Hartley, Bohan Zhuang, Hao Tang:
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation. CoRR abs/2407.10061 (2024) - [i152]Anh-Dzung Doan, Vu Minh Hieu Phan, Surabhi Gupta, Markus Wagner, Tat-Jun Chin, Ian Reid:
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. CoRR abs/2408.14227 (2024) - [i151]Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre:
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. CoRR abs/2409.02850 (2024) - [i150]Boying Li, Zhixi Cai, Yuan-Fang Li, Ian Reid, Hamid Rezatofighi:
Hi-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting. CoRR abs/2409.12518 (2024) - [i149]Huy Hoang Nguyen, An Vuong, Anh Nguyen, Ian Reid, Minh Nhat Vu:
GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning. CoRR abs/2409.14403 (2024) - [i148]Ryan Faulkner, Luke Haub, Simon Ratcliffe, Anh-Dzung Doan, Ian D. Reid, Tat-Jun Chin:
Simultaneous Diffusion Sampling for Conditional LiDAR Generation. CoRR abs/2410.11628 (2024) - [i147]Krishan Rana, Jad Abou-Chakra, Sourav Garg, Robert Lee, Ian D. Reid, Niko Sünderhauf:
Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames. CoRR abs/2410.12124 (2024) - [i146]Lachlan Mares, Stefan Podgorski, Ian D. Reid:
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning. CoRR abs/2410.18462 (2024) - [i145]Mehdi Hosseinzadeh, Ian D. Reid:
BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment. CoRR abs/2410.20969 (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) - [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 - [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] - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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]