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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 - [i76]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Learning Gaussian Representation for Eye Fixation Prediction. CoRR abs/2403.14821 (2024) - [i75]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) - 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]