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2020 – today
- 2024
[j40]Deng-Ping Fan
, Nick Barnes, Ming-Ming Cheng, Luc Van Gool:
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21(4): 615-616 (2024)- [j39]Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes:
Rethinking Polyp Segmentation From An Out-of-distribution Perspective. Mach. Intell. Res. 21(4): 631-639 (2024) - [j38]Peipei Song, Wenyu Li, Peiyan Zhong, Jing Zhang, Piotr Koniusz, Feng Duan, Nick Barnes:
Synergizing triple attention with depth quality for RGB-D salient object detection. Neurocomputing 589: 127672 (2024) - [j37]Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery. IEEE Trans. Image Process. 33: 2689-2702 (2024) - [c138]Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes:
Self-Calibrating Vicinal Risk Minimisation for Model Calibration. CVPR 2024: 3335-3345 - [c137]Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes:
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV 2024: 1062-1071 - [i78]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Learning Gaussian Representation for Eye Fixation Prediction. CoRR abs/2403.14821 (2024) - [i77]Ruikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, Yang Li, Nick Barnes, Hongdong Li, Pan Ji:
LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image. CoRR abs/2405.15622 (2024) - [i76]Sahir Shrestha, Weihao Li, Gao Zhu, Nick Barnes:
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation. CoRR abs/2410.13565 (2024) - [i75]Ge-Peng Ji, Jing Liu, Peng Xu, Nick Barnes, Fahad Shahbaz Khan, Salman H. Khan, Deng-Ping Fan:
Frontiers in Intelligent Colonoscopy. CoRR abs/2410.17241 (2024) - 2023
- [j36]Shi Qiu, Saeed Anwar, Nick Barnes:
PnP-3D: A Plug-and-Play for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1312-1319 (2023) - [j35]Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12635-12649 (2023) - [j34]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13100-13116 (2023) - [j33]Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan:
Toward Deeper Understanding of Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3462-3476 (2023) - [c136]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CVPR 2023: 6420-6429 - [c135]Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes:
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. DICTA 2023: 1-8 - [c134]Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes:
Model Calibration in Dense Classification with Adaptive Label Perturbation. ICCV 2023: 1173-1184 - [c133]Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes:
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. ICCV 2023: 14305-14314 - [c132]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. ICCV (Workshops) 2023: 826-837 - [c131]Zhengyang Yu, Jing Zhang, Nick Barnes:
A Multimodal Hierarchical Variational Autoencoder for Saliency Detection. IJCNN 2023: 1-9 - [i74]Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. CoRR abs/2303.00900 (2023) - [i73]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CoRR abs/2303.11302 (2023) - [i72]Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes:
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems. CoRR abs/2305.01586 (2023) - [i71]Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes:
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective. CoRR abs/2306.07792 (2023) - [i70]Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery. CoRR abs/2307.03376 (2023) - [i69]Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Nick Barnes, Ajmal Mian:
A Comprehensive Overview of Large Language Models. CoRR abs/2307.06435 (2023) - [i68]Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai:
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation. CoRR abs/2307.09929 (2023) - [i67]Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes:
Model Calibration in Dense Classification with Adaptive Label Perturbation. CoRR abs/2307.13539 (2023) - [i66]Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes:
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. CoRR abs/2307.14726 (2023) - [i65]Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai:
Transferable Attack for Semantic Segmentation. CoRR abs/2307.16572 (2023) - [i64]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2308.04321 (2023) - 2022
- [j32]Saeed Anwar, Nick Barnes:
Densely Residual Laplacian Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1192-1204 (2022) - [j31]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5761-5779 (2022) - [j30]Shi Qiu, Saeed Anwar, Nick Barnes:
Geometric Back-Projection Network for Point Cloud Classification. IEEE Trans. Multim. 24: 1943-1955 (2022) - [c130]Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. AAAI 2022: 3009-3017 - [c129]Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. AAAI 2022: 3280-3290 - [c128]Shi Qiu, Saeed Anwar, Nick Barnes:
PU-Transformer: Point Cloud Upsampling Transformer. ACCV (1) 2022: 326-343 - [c127]Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes:
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. BMVC 2022: 48 - [c126]Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. BMVC 2022: 532 - [c125]Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. CVPR Workshops 2022: 3960-3969 - [c124]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. EMNLP 2022: 7025-7041 - [c123]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP 2022: 2466-2470 - [c122]Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR 2022: 2078-2085 - [c121]Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng:
Depth Completion Auto-Encoder. WACV (Workshops) 2022: 63-73 - [c120]Jiawei Liu, Jing Zhang, Nick Barnes:
Modeling Aleatoric Uncertainty for Camouflaged Object Detection. WACV 2022: 2613-2622 - [c119]Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. WACV 2022: 2653-2662 - [i63]Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. CoRR abs/2204.05604 (2022) - [i62]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i61]Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan:
Towards Deeper Understanding of Camouflaged Object Detection. CoRR abs/2205.11333 (2022) - [i60]Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. CoRR abs/2206.10552 (2022) - [i59]Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes:
Generalised Co-Salient Object Detection. CoRR abs/2208.09668 (2022) - [i58]Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR abs/2210.06120 (2022) - [i57]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. CoRR abs/2210.10340 (2022) - [i56]Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes:
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. CoRR abs/2211.06820 (2022) - [i55]Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson:
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR abs/2212.02011 (2022) - 2021
- [j29]Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A Survey. ACM Comput. Surv. 53(3): 60:1-60:34 (2021) - [j28]Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley:
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2866-2873 (2021) - [j27]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. complexity: A trade-off in visual question answering models. Pattern Recognit. 120: 108106 (2021) - [c118]Shi Qiu, Saeed Anwar, Nick Barnes:
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion. CVPR 2021: 1757-1767 - [c117]Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan:
Simultaneously Localize, Segment and Rank the Camouflaged Objects. CVPR 2021: 11591-11601 - [c116]Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CVPR 2021: 16826-16835 - [c115]Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes:
Learning To Segment Dominant Object Motion From Watching Videos. DICTA 2021: 1-8 - [c114]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. ICCV 2021: 4318-4327 - [c113]Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021 - [c112]Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. IJCNN 2021: 1-8 - [c111]Ce Wang, Moshiur R. Farazi, Nick Barnes:
Recursive Training for Zero-Shot Semantic Segmentation. IJCNN 2021: 1-8 - [c110]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS 2021: 15448-15463 - [c109]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. NeurIPS 2021: 19487-19499 - [c108]Shi Qiu, Saeed Anwar, Nick Barnes:
Dense-Resolution Network for Point Cloud Classification and Segmentation. WACV 2021: 3812-3821 - [i54]Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. CoRR abs/2102.03509 (2021) - [i53]Ce Wang, Moshiur R. Farazi, Nick Barnes:
Recursive Training for Zero-Shot Semantic Segmentation. CoRR abs/2103.00086 (2021) - [i52]Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan:
Simultaneously Localize, Segment and Rank the Camouflaged Objects. CoRR abs/2103.04011 (2021) - [i51]Shi Qiu, Saeed Anwar, Nick Barnes:
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion. CoRR abs/2103.07074 (2021) - [i50]Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CoRR abs/2104.02391 (2021) - [i49]Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. CoRR abs/2104.07216 (2021) - [i48]Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes:
Transformer Transforms Salient Object Detection and Camouflaged Object Detection. CoRR abs/2104.10127 (2021) - [i47]Jiawei Liu, Jing Zhang, Nick Barnes:
Confidence-Aware Learning for Camouflaged Object Detection. CoRR abs/2106.11641 (2021) - [i46]Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. CoRR abs/2106.13389 (2021) - [i45]Shi Qiu, Saeed Anwar, Nick Barnes:
PnP-3D: A Plug-and-Play for 3D Point Clouds. CoRR abs/2108.07378 (2021) - [i44]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. CoRR abs/2109.07246 (2021) - [i43]Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes:
Dense Uncertainty Estimation. CoRR abs/2110.06427 (2021) - [i42]Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. CoRR abs/2110.14309 (2021) - [i41]Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR abs/2111.11055 (2021) - [i40]Shi Qiu, Saeed Anwar, Nick Barnes:
PU-Transformer: Point Cloud Upsampling Transformer. CoRR abs/2111.12242 (2021) - [i39]Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes:
Learning To Segment Dominant Object Motion From Watching Videos. CoRR abs/2111.14160 (2021) - [i38]Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes:
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR abs/2112.02841 (2021) - [i37]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR abs/2112.13528 (2021) - [i36]Jiawei Liu, Jing Zhang, Nick Barnes:
Semi-supervised Salient Object Detection with Effective Confidence Estimation. CoRR abs/2112.14019 (2021) - 2020
- [j26]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int. J. Comput. Vis. 128(6): 1612-1634 (2020) - [j25]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts. Image Vis. Comput. 103: 103985 (2020) - [j24]Shafin Rahman, Salman H. Khan, Nick Barnes:
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. IEEE Trans. Multim. 22(1): 242-255 (2020) - [c107]Shafin Rahman, Salman H. Khan, Nick Barnes:
Improved Visual-Semantic Alignment for Zero-Shot Object Detection. AAAI 2020: 11932-11939 - [c106]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. ACCV (3) 2020: 89-106 - [c105]Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. ACCV (1) 2020: 585-602 - [c104]Lin Li, Salman H. Khan, Nick Barnes:
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene. CVPR Workshops 2020: 1098-1104 - [c103]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CVPR 2020: 8579-8588 - [c102]Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng:
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. CVPR 2020: 11303-11312 - [c101]Shu Liu, Nick Barnes, Robert E. Mahony, Haolei Ye:
Network-based structure flow estimation. DICTA 2020: 1-7 - [c100]Jing Zhang, Jianwen Xie, Nick Barnes:
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. ECCV (17) 2020: 349-366 - [c99]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
Reducing the Sim-to-Real Gap for Event Cameras. ECCV (27) 2020: 534-549 - [c98]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. ICPR 2020: 3542-3549 - [c97]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. ICPRAM 2020: 115-125 - [c96]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS 2020: 8169-8176 - [c95]Jiabo Xu, Saeed Anwar, Nick Barnes, Florian Grimpen, Olivier Salvado, Stuart Anderson, Mohammad Ali Armin:
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos. MICCAI (3) 2020: 732-741 - [c94]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV 2020: 21-31 - [c93]Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
Fast Image Reconstruction with an Event Camera. WACV 2020: 156-163 - [i35]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models. CoRR abs/2001.07059 (2020) - [i34]Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. CoRR abs/2003.07003 (2020) - [i33]Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
How to Train Your Event Camera Neural Network. CoRR abs/2003.09078 (2020) - [i32]Saeed Anwar, Nick Barnes, Lars Petersson:
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. CoRR abs/2003.11154 (2020) - [i31]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CoRR abs/2004.05763 (2020) - [i30]Saeed Anwar, Nick Barnes, Lars Petersson:
Attention Prior for Real Image Restoration. CoRR abs/2004.13524 (2020) - [i29]Shi Qiu, Saeed Anwar, Nick Barnes:
Dense-Resolution Network for Point Cloud Classification and Segmentation. CoRR abs/2005.06734 (2020) - [i28]Jing Zhang, Jianwen Xie, Nick Barnes:
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. CoRR abs/2007.12211 (2020) - [i27]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. CoRR abs/2009.03075 (2020) - [i26]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Attention Guided Semantic Relationship Parsing for Visual Question Answering. CoRR abs/2010.01725 (2020) - [i25]Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020) - [i24]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
How to train your conditional GAN: An approach using geometrically structured latent manifolds. CoRR abs/2011.13055 (2020) - [i23]Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. CoRR abs/2012.00242 (2020) - [i22]Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley:
Uncertainty-Aware Deep Calibrated Salient Object Detection. CoRR abs/2012.06020 (2020)
2010 – 2019
- 2019
- [j23]Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Asynchronous Spatial Image Convolutions for Event Cameras. IEEE Robotics Autom. Lett. 4(2): 816-822 (2019) - [c92]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CVPR Workshops 2019: 1684-1693 - [c91]Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. CVPR 2019: 9739-9748 - [c90]Saeed Anwar, Nick Barnes:
Real Image Denoising With Feature Attention. ICCV 2019: 3155-3164 - [c89]Shafin Rahman, Salman H. Khan, Nick Barnes:
Transductive Learning for Zero-Shot Object Detection. ICCV 2019: 6081-6090 - [c88]Lin Li, Salman H. Khan, Nick Barnes:
Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene. ICCV Workshops 2019: 2080-2088 - [e3]Yao Zhao, Nick Barnes, Baoquan Chen, Rüdiger Westermann, Xiangwei Kong, Chunyu Lin:
Image and Graphics - 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11901, Springer 2019, ISBN 978-3-030-34119-0 [contents] - [e2]Yao Zhao, Nick Barnes, Baoquan Chen, Rüdiger Westermann, Xiangwei Kong, Chunyu Lin:
Image and Graphics - 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11902, Springer 2019, ISBN 978-3-030-34109-1 [contents] - [e1]Yao Zhao, Nick Barnes, Baoquan Chen, Rüdiger Westermann, Xiangwei Kong, Chunyu Lin:
Image and Graphics - 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11903, Springer 2019, ISBN 978-3-030-34112-1 [contents] - [i21]Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. CoRR abs/1901.00616 (2019) - [i20]Saeed Anwar, Nick Barnes:
Real Image Denoising with Feature Attention. CoRR abs/1904.07396 (2019) - [i19]Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A survey. CoRR abs/1904.07523 (2019) - [i18]Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. CoRR abs/1904.10772 (2019) - [i17]Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. CoRR abs/1906.03650 (2019) - [i16]Saeed Anwar, Nick Barnes:
Densely Residual Laplacian Super-Resolution. CoRR abs/1906.12021 (2019) - [i15]Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. CoRR abs/1908.03289 (2019) - [i14]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. CoRR abs/1908.10209 (2019) - [i13]Shi Qiu, Saeed Anwar, Nick Barnes:
Geometric Feedback Network for Point Cloud Classification. CoRR abs/1911.12885 (2019) - [i12]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. CoRR abs/1912.01454 (2019) - [i11]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. CoRR abs/1912.01800 (2019) - 2018
- [j22]Pengdong Xiao, Nick Barnes, Tibério S. Caetano:
3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields. IEEE Trans. Image Process. 27(3): 1271-1281 (2018) - [c87]Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Continuous-Time Intensity Estimation Using Event Cameras. ACCV (5) 2018: 308-324 - [c86]Weixuan Sun, Shaodi You, Janine Walker, Kunming Li, Nick Barnes:
Structural Edge Detection: A Dataset and Benchmark. DICTA 2018: 1-8 - [c85]Kaiyue Lu, Shaodi You, Nick Barnes:
Deep Texture and Structure Aware Filtering Network for Image Smoothing. ECCV (4) 2018: 229-245 - [c84]Mohammad Ali Armin, Nick Barnes, Salman H. Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado:
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 108-117 - [c83]Salman H. Khan, Munawar Hayat, Nick Barnes:
Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation. WACV 2018: 1312-1320 - [i10]Salman H. Khan, Munawar Hayat, Nick Barnes:
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation. CoRR abs/1804.10323 (2018) - [i9]Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Continuous-time Intensity Estimation Using Event Cameras. CoRR abs/1811.00386 (2018) - [i8]Shafin Rahman, Salman H. Khan, Nick Barnes:
Polarity Loss for Zero-shot Object Detection. CoRR abs/1811.08982 (2018) - [i7]Moshiur R. Farazi, Salman Hameed Khan, Nick Barnes:
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts. CoRR abs/1811.12772 (2018) - [i6]Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Computing Spatial Image Convolutions for Event Cameras. CoRR abs/1812.00438 (2018) - 2017
- [c82]David Feng, Nick Barnes, Shaodi You:
HOSO: Histogram of Surface Orientation for RGB-D Salient Object Detection. DICTA 2017: 1-8 - [c81]Kaiyue Lu, Shaodi You, Nick Barnes:
Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance. DICTA 2017: 1-8 - [c80]Kunming Li, Yu Li, Shaodi You, Nick Barnes:
Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather. ICCV Workshops 2017: 491-500 - [c79]David Feng, Nick Barnes, Shaodi You:
DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation. ICCV Workshops 2017: 1536-1544 - [c78]Riku Shigematsu, David Feng, Shaodi You, Nick Barnes:
Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features. ICCV Workshops 2017: 2749-2757 - [c77]Mohammad Ali Armin, Nick Barnes, José M. Álvarez, Hongdong Li, Florian Grimpen, Olivier Salvado:
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). CARE/CLIP@MICCAI 2017: 50-59 - [i5]Riku Shigematsu, David Feng, Shaodi You, Nick Barnes:
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features. CoRR abs/1705.03607 (2017) - [i4]Kaiyue Lu, Shaodi You, Nick Barnes:
Deep Image Smoothing based on Texture and Structure Guidance. CoRR abs/1712.02893 (2017) - 2016
- [j21]Lachlan Horne, José M. Álvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes:
Semantic labeling for prosthetic vision. Comput. Vis. Image Underst. 149: 113-125 (2016) - [j20]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Exploiting Large Image Sets for Road Scene Parsing. IEEE Trans. Intell. Transp. Syst. 17(9): 2456-2465 (2016) - [j19]H. Christiaan Stronks, Daniel J. Parker, Nick Barnes:
Vibrotactile Spatial Acuity and Intensity Discrimination on the Lower Back Using Coin Motors. IEEE Trans. Haptics 9(4): 446-454 (2016) - [c76]David Feng, Nick Barnes, Shaodi You, Chris McCarthy:
Local Background Enclosure for RGB-D Salient Object Detection. CVPR 2016: 2343-2350 - [c75]Hanxi Li, Xuming He, Nick Barnes, Mingwen Wang:
Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation. MMM (2) 2016: 116-129 - [c74]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Efficient transductive semantic segmentation. WACV 2016: 1-9 - [i3]Shaodi You, Nick Barnes, Janine Walker:
Perceptually Consistent Color-to-Gray Image Conversion. CoRR abs/1605.01843 (2016) - 2015
- [c73]Lachlan Horne, Jose M. Alvarez, Chris McCarthy, Nick Barnes:
Semantic labelling to aid navigation in prosthetic vision. EMBC 2015: 3379-3382 - [c72]Lachlan Horne, José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Efficient scene parsing by sampling unary potentials in a fully-connected CRF. Intelligent Vehicles Symposium 2015: 820-825 - [c71]Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker:
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. WACV 2015: 1046-1053 - 2014
- [c70]Chris McCarthy, Nick Barnes:
Importance weighted image enhancement for prosthetic vision: An augmentation framework. ISMAR 2014: 45-51 - [c69]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Large-scale semantic co-labeling of image sets. WACV 2014: 501-508 - [c68]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Data-driven road detection. WACV 2014: 1134-1141 - [r1]Samunda Perera, Nick Barnes, Alexander Zelinsky:
Exploration: Simultaneous Localization and Mapping (SLAM). Computer Vision, A Reference Guide 2014: 268-275 - 2013
- [c67]Tao Wang, Xuming He, Nick Barnes:
Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning. CVPR 2013: 1790-1797 - [c66]Samunda Perera, Nick Barnes:
1-Point Rigid Motion Estimation and Segmentation with a RGB-D Camera. DICTA 2013: 1-8 - [c65]Lachlan Horne, Jose M. Alvarez, Nick Barnes:
Exploiting Sparsity for Real Time Video Labelling. ICCV Workshops 2013: 632-637 - [c64]Nick Barnes:
An overview of vision processing in implantable prosthetic vision. ICIP 2013: 1532-1535 - [c63]Tao Wang, Xuming He, Nick Barnes:
Glass object segmentation by label transfer on joint depth and appearance manifolds. ICIP 2013: 2944-2948 - [c62]Chris McCarthy, David Feng, Nick Barnes:
Augmenting intensity to enhance scene structure in prosthetic vision. ICME Workshops 2013: 1-6 - [c61]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Learning appearance models for road detection. Intelligent Vehicles Symposium 2013: 423-429 - 2012
- [j18]Nick Barnes, Peter Baumgartner, Tibério S. Caetano, Hugh F. Durrant-Whyte, Gerwin Klein, Penelope Sanderson, Abdul Sattar, Peter J. Stuckey, Sylvie Thiébaux, Pascal Van Hentenryck, Toby Walsh:
AI@NICTA. AI Mag. 33(3): 115- (2012) - [j17]Nick Barnes:
The role of computer vision in prosthetic vision. Image Vis. Comput. 30(8): 478-479 (2012) - [j16]Chris McCarthy, Nick Barnes:
A Unified Strategy for Landing and Docking Using Spherical Flow Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 1024-1031 (2012) - [j15]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng:
Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting. IEEE Trans. Neural Networks Learn. Syst. 23(1): 33-46 (2012) - [c60]Samunda Perera, Nick Barnes:
Maximal Cliques Based Rigid Body Motion Segmentation with a RGB-D Camera. ACCV (2) 2012: 120-133 - [c59]Tao Wang, Xuming He, Nick Barnes:
Learning Hough Forest with Depth-Encoded Context for Object Detection. DICTA 2012: 1-8 - [c58]Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby:
The role of vision processing in prosthetic vision. EMBC 2012: 308-311 - [c57]Chris McCarthy, Nick Barnes:
Time-to-contact maps for navigation with a low resolution visual prosthesis. EMBC 2012: 2780-2783 - [c56]Lachlan Horne, Nick Barnes, Chris McCarthy, Xuming He:
Image segmentation for enhancing symbol recognition in prosthetic vision. EMBC 2012: 2792-2795 - [c55]Yi Li, Chris McCarthy, Nick Barnes:
On Just Noticeable Difference for Bionic Eye. EMBC 2012: 2961-2964 - [c54]Song Wang, Yi Li, Nick Barnes:
Text image processing for visual prostheses. EMBC 2012: 2977-2980 - [c53]Xuming He, Junae Kim, Nick Barnes:
An face-based visual fixation system for prosthetic vision. EMBC 2012: 2981-2984 - [c52]Yiran Xie, Nianjun Liu, Nick Barnes:
Phosphene vision of depth and boundary from segmentation-based associative MRFs. EMBC 2012: 5314-5318 - [c51]Tao Wang, Xuming He, Nick Barnes:
Glass object localization by joint inference of boundary and depth. ICPR 2012: 3783-3786 - 2011
- [c50]Tao Wang, Xuming He, Chunhua Shen, Nick Barnes:
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA 2011: 209-216 - [c49]Samunda Perera, Nick Barnes:
A Simple and Practical Solution to the Rigid Body Motion Segmentation Problem Using a RGB-D Camera. DICTA 2011: 494-500 - [c48]Yiran Xie, Nianjun Liu, Sheng Liu, Nick Barnes:
Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut. DICTA 2011: 518-523 - [c47]Chris McCarthy, Nick Barnes, Paulette Lieby:
Ground surface segmentation for navigation with a low resolution visual prosthesis. EMBC 2011: 4457-4460 - [c46]Ashley Stacey, Yi Li, Nick Barnes:
A salient information processing system for bionic eye with application to obstacle avoidance. EMBC 2011: 5116-5119 - [c45]Paulette Lieby, Nick Barnes, Chris McCarthy, Nianjun Liu, Hugh Dennett, Janine G. Walker, Viorica Botea, Adele F. Scott:
Substituting depth for intensity and real-time phosphene rendering: Visual navigation under low vision conditions. EMBC 2011: 8017-8020 - 2010
- [j14]John Lim, Nick Barnes:
Estimation of the epipole using optical flow at antipodal points. Comput. Vis. Image Underst. 114(2): 245-253 (2010) - [j13]John Lim, Nick Barnes, Hongdong Li:
Estimating Relative Camera Motion from the Antipodal-Epipolar Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1907-1914 (2010) - [j12]Nick Barnes, Gareth Loy, David Shaw:
The regular polygon detector. Pattern Recognit. 43(3): 592-602 (2010) - [c44]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren:
Asymmetric Totally-Corrective Boosting for Real-Time Object Detection. ACCV (1) 2010: 176-188 - [c43]Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang:
Totally-Corrective Multi-class Boosting. ACCV (4) 2010: 269-280 - [c42]Chris McCarthy, Nick Barnes:
Surface Extraction from Iso-disparity Contours. ACCV (4) 2010: 410-421 - [c41]Pengdong Xiao, Nick Barnes, Paulette Lieby, Tibério S. Caetano:
Sparse Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces. DICTA 2010: 546-551 - [c40]Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes:
Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. MICCAI (2) 2010: 266-273 - [i2]Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren:
Asymmetric Totally-corrective Boosting for Real-time Object Detection. CoRR abs/1009.3078 (2010) - [i1]Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang:
Totally Corrective Multiclass Boosting with Binary Weak Learners. CoRR abs/1009.3702 (2010)
2000 – 2009
- 2009
- [j11]Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes:
Identifying Anatomical Shape Difference by Regularized Discriminative Direction. IEEE Trans. Medical Imaging 28(6): 937-950 (2009) - [c39]Yuchao Dai, Jochen Trumpf, Hongdong Li, Nick Barnes, Richard I. Hartley:
Rotation Averaging with Application to Camera-Rig Calibration. ACCV (2) 2009: 335-346 - [c38]David Shaw, Nick Barnes:
Perspective Invariant Angle Ordering. DICTA 2009: 256-263 - [c37]Pengdong Xiao, Nick Barnes, Paulette Lieby, Tibério S. Caetano:
Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration. DICTA 2009: 387-394 - [c36]John Lim, Nick Barnes:
Robust visual homing with landmark angles. Robotics: Science and Systems 2009 - 2008
- [j10]Nick Barnes:
A National Perspective on the Needs, Themes, and Major Groups - Robotics Research in Australia. IEEE Robotics Autom. Mag. 15(2): 89-95 (2008) - [j9]Nick Barnes, Alexander Zelinsky, Luke Fletcher:
Real-Time Speed Sign Detection Using the Radial Symmetry Detector. IEEE Trans. Intell. Transp. Syst. 9(2): 322-332 (2008) - [j8]Chris McCarthy, Nick Barnes, Robert E. Mahony:
A Robust Docking Strategy for a Mobile Robot Using Flow Field Divergence. IEEE Trans. Robotics 24(4): 832-842 (2008) - [c35]John Lim, Nick Barnes:
Directions of egomotion from antipodal points. CVPR 2008 - [c34]Andrew Dankers, Nick Barnes, Walter F. Bischof, Alexander Zelinsky:
Humanoid Vision Resembles Primate Archetype. ISER 2008: 495-504 - [c33]Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes:
Regularized Discriminative Direction for Shape Difference Analysis. MICCAI (1) 2008: 628-635 - 2007
- [j7]Andrew Dankers, Nick Barnes, Alexander Zelinsky:
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study. Comput. Vis. Image Underst. 108(1-2): 74-86 (2007) - [c32]Pengdong Xiao, Nick Barnes, Tibério S. Caetano, Paulette Lieby:
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching. CVPR 2007 - [c31]Ramtin Shams, Nick Barnes, Richard I. Hartley:
Image Registration in Hough Space Using Gradient of Images. DICTA 2007: 226-232 - [c30]Ramtin Shams, Nick Barnes:
Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware. DICTA 2007: 555-560 - [c29]John Lim, Nick Barnes:
Estimation of the Epipole using Optical Flow at Antipodal Points. ICCV 2007: 1-6 - [c28]Chris McCarthy, Nick Barnes, Mandyam V. Srinivasan:
Real Time Biologically-Inspired Depth Maps from Spherical Flow. ICRA 2007: 4887-4892 - [c27]Luping Zhou, Richard I. Hartley, Paulette Lieby, Nick Barnes, Kaarin Anstey, Nicolas Cherbuin, Perminder S. Sachdev:
A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation. MICCAI (1) 2007: 375-383 - 2006
- [j6]Lars Petersson, Luke Fletcher, Alexander Zelinsky, Nick Barnes, Fredrik Arnell:
Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control. Int. J. Robotics Res. 25(1): 53-72 (2006) - [c26]Chris McCarthy, Nick Barnes:
A Robust Docking Strategy for a Mobile Robot using Flow Field Divergence. IROS 2006: 5564-5569 - 2005
- [j5]Albert Yeung, Nick Barnes:
Efficient active monocular fixation using the log-polar sensor. Int. J. Intell. Syst. Technol. Appl. 1(1/2): 157-173 (2005) - [j4]Luke Fletcher, Gareth Loy, Nick Barnes, Alexander Zelinsky:
Correlating driver gaze with the road scene for driver assistance systems. Robotics Auton. Syst. 52(1): 71-84 (2005) - [c25]Niloofar Gheissari, Nick Barnes:
Road Obstacle Detection Using Robust Model Fitting. FSR 2005: 43-54 - [c24]Nick Barnes, Gareth Loy:
Real-Time Regular Polygonal Sign Detection. FSR 2005: 55-66 - [c23]Andrew Dankers, Nick Barnes, Alexander Zelinsky:
Bimodal Active Stereo Vision. FSR 2005: 79-90 - [c22]Nick Barnes, Gareth Loy, David Shaw, Antonio Robles-Kelly:
Regular Polygon Detection. ICCV 2005: 778-785 - [c21]Luke Fletcher, Lars Petersson, Nick Barnes, David J. Austin, Alexander Zelinsky:
A Sign Reading Driver Assistance System Using Eye Gaze. ICRA 2005: 4655-4660 - [c20]Nick Barnes:
Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms. ICRA 2005: 4661-4666 - 2004
- [j3]Nick Barnes, Zhi-Qiang Liu:
Embodied categorisation for vision-guided mobile robots. Pattern Recognit. 37(2): 299-312 (2004) - [c19]Gavin Baker, Stephen J. O'Leary, Nick Barnes, Edmund Kazmierczak:
Cochlea Modelling: Clinical Challenges and Tubular Extraction. Australian Conference on Artificial Intelligence 2004: 74-85 - [c18]Gavin Baker, Nick Barnes:
Principal Flow for Tubular Objects with Non-Circular Cross-Sections. ICPR (3) 2004: 750-753 - [c17]Lars Petersson, Luke Fletcher, Nick Barnes, Alexander Zelinsky:
An Interactive Driver Assistance System Monitoring the Scene in and out of the Vehicle. ICRA 2004: 3475-3481 - [c16]Craig Watman, David J. Austin, Nick Barnes, Gary Overett, Simon Thompson:
Fast Sum of Absolute Differences Visual Landmark Detector. ICRA 2004: 4827-4832 - [c15]Chris McCarthy, Nick Barnes:
Performance of Optical Flow Techniques for Indoor Navigation with a Mobile Robot. ICRA 2004: 5093-5098 - [c14]Gareth Blake Loy, Nick Barnes:
Fast shape-based road sign detection for a driver assistance system. IROS 2004: 70-75 - [c13]Chris McCarthy, Nick Barnes:
Comparison of Temporal Filters for Optical Flow Estimation in Continuous Mobile Robot Navigation. ISER 2004: 481-490 - 2003
- [c12]Damien George, Nick Barnes:
Particle attraction localisation. IROS 2003: 1240-1245 - [c11]Jason Thomas, Alan Blair, Nick Barnes:
Towards an efficient optimal trajectory planner for multiple mobile robots. IROS 2003: 2291-2296 - [c10]Daniel Cameron, Nick Barnes:
Knowledge-Based Autonomous Dynamic Colour Calibration. RoboCup 2003: 226-237 - [c9]Paul Lee, Tim Dean, Andrew Yap, Dariusz Walter, Les Kitchen, Nick Barnes:
On-Board Vision Using Visual-Servoing for RoboCup F-180 League Mobile Robots. RoboCup 2003: 422-433 - 2002
- [c8]Mark Ashmore, Nick Barnes:
Omni-drive Robot Motion on Curved Paths: The Fastest Path between Two Points Is Not a Straight-Line. Australian Joint Conference on Artificial Intelligence 2002: 225-236 - [c7]Albert Yeung, Nick Barnes:
Towards Log-Polar Fixation for Mobile Robots - Analysis of Corner Tracking on the Log-Polar Camera. ICPR (2) 2002: 300-303 - [c6]Kenichi Yoshimura, Nick Barnes, Ralph Rönnquist, Liz Sonenberg:
Towards Real-Time Strategic Teamwork: A RoboCup Case Study. RoboCup 2002: 342-350 - 2001
- [c5]Nick Barnes, Zhi-Qiang Liu:
Fuzzy Control for Active Perceptual Docking. FUZZ-IEEE 2001: 1531-1534 - [c4]Kate Clarke, Stephen Dempster, Ian Falcao, Bronwen Jones, Daniel Rudolph, Alan Blair, Chris McCarthy, Dariusz Walter, Nick Barnes:
RoboMutts++. RoboCup 2001: 713-716 - 2000
- [j2]Nick Barnes, Zhi-Qiang Liu:
Vision Guided Circumnavigating Autonomous Robots. Int. J. Pattern Recognit. Artif. Intell. 14(6): 689-714 (2000) - [c3]Nick Barnes, Giulio Sandini:
Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow. ECCV (2) 2000: 167-181 - [c2]Robert Sim, Paul Russo, Andrew Grahm, Andrew Blair, Nick Barnes, Alan Blair:
RoboMutts. RoboCup 2000: 647-650
1990 – 1999
- 1999
- [j1]Nick Barnes, Zhi-Qiang Liu:
Knowledge-Based Shape-From Shading. Int. J. Pattern Recognit. Artif. Intell. 13(1): 1-23 (1999) - 1995
- [c1]Nick Barnes, Zhi-Qiang Liu:
Vision Guided Circumnavigating Autonomous Robots. ICSC 1995: 33-42
Coauthor Index
[j39] [j38] [j37] [i78] [j34] [j33] [c134] [c133] [i74] [i71] [i70] [i68] [i67] [i66] [i65] [j31] [c130] [c129] [c127] [c123] [c120] [c119] [i62] [i61] [i59] [i56] [j28] [c117] [c116] [c114] [c112] [c110] [i52] [i50] [i49] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [i38] [i37] [i36] [c105] [c103] [c100] [i31] [i28] [i27] [i23] [i22]
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