Nick Barnes

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 160

Top Venues

CoRR

WACV

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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) (2024)
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV (2024)
Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
Learning Gaussian Representation for Eye Fixation Prediction. CoRR (2024)
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 (2024)
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 (2024)
Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai
Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery. IEEE Trans. Image Process. 33 (2024)
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) (2024)
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 (2023)
Zhengyang Yu, Jing Zhang, Nick Barnes
A Multimodal Hierarchical Variational Autoencoder for Saliency Detection. IJCNN (2023)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Shi Qiu, Saeed Anwar, Nick Barnes
PnP-3D: A Plug-and-Play for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
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 (2023)
Pranav Pativada, Zeeshan Hayder, Ali Zia, Nick Barnes
Contrastive-Aware ViT for Weakly Supervised Semantic Segmentation. DICTA (2023)
Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation. CoRR (2023)
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
Model Calibration in Dense Classification with Adaptive Label Perturbation. CoRR (2023)
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 (2023)
Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai
Transferable Attack for Semantic Segmentation. CoRR (2023)
Siyuan Yan, Jing Zhang, Nick Barnes
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. CoRR (2023)
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) (2023)
Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective. CoRR (2023)
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)
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)
Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery. CoRR (2023)
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) (2023)
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 (2023)
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 (2023)
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)
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)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR (2022)
Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. BMVC (2022)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
An Energy-Based Prior for Generative Saliency. CoRR (2022)
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
Energy-Based Generative Cooperative Saliency Prediction. AAAI (2022)
Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes
Generalised Co-Salient Object Detection. CoRR (2022)
Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan
Towards Deeper Understanding of Camouflaged Object Detection. CoRR (2022)
Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong
The Devil in Linear Transformer. CoRR (2022)
Jiawei Liu, Jing Zhang, Nick Barnes
Modeling Aleatoric Uncertainty for Camouflaged Object Detection. WACV (2022)
Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
Towards Open-Set Object Detection and Discovery. CVPR Workshops (2022)
Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
Depth Completion Auto-Encoder. WACV (Workshops) (2022)
Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. CoRR (2022)
Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong
The Devil in Linear Transformer. EMNLP (2022)
Weixuan Sun, Jing Zhang, Nick Barnes
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. WACV (2022)
Shi Qiu, Saeed Anwar, Nick Barnes
PU-Transformer: Point Cloud Upsampling Transformer. ACCV (1) (2022)
Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes
Robust normalizing flows using Bernstein-type polynomials. BMVC (2022)
Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong
Vicinity Vision Transformer. CoRR (2022)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR (2022)
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 (2022)
Shi Qiu, Saeed Anwar, Nick Barnes
Geometric Back-Projection Network for Point Cloud Classification. IEEE Trans. Multim. 24 (2022)
Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
Towards Open-Set Object Detection and Discovery. CoRR (2022)
Saeed Anwar, Nick Barnes
Densely Residual Laplacian Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Siyuan Yan, Jing Zhang, Nick Barnes
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. AAAI (2022)
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) (2022)
Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP (2022)
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 (2021)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR (2021)
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han
Weakly Supervised Video Salient Object Detection. CoRR (2021)
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) (2021)
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
Energy-Based Generative Cooperative Saliency Prediction. CoRR (2021)
Shi Qiu, Saeed Anwar, Nick Barnes
PU-Transformer: Point Cloud Upsampling Transformer. CoRR (2021)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS (2021)
Ce Wang, Moshiur R. Farazi, Nick Barnes
Recursive Training for Zero-Shot Semantic Segmentation. IJCNN (2021)
Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes
Learning To Segment Dominant Object Motion From Watching Videos. CoRR (2021)
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han
Weakly Supervised Video Salient Object Detection. CVPR (2021)
Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes
Learning To Segment Dominant Object Motion From Watching Videos. DICTA (2021)
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 (2021)
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)
Shi Qiu, Saeed Anwar, Nick Barnes
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion. CoRR (2021)
Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Conditional Generative Modeling via Learning the Latent Space. ICLR (2021)
Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR (2021)
Moshiur R. Farazi, Salman H. Khan, Nick Barnes
Accuracy vs. complexity: A trade-off in visual question answering models. Pattern Recognit. 120 (2021)
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
Learning structure-aware semantic segmentation with image-level supervision. IJCNN (2021)
Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan
Simultaneously Localize, Segment and Rank the Camouflaged Objects. CoRR (2021)
Shi Qiu, Saeed Anwar, Nick Barnes
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion. CVPR (2021)
Shi Qiu, Saeed Anwar, Nick Barnes
PnP-3D: A Plug-and-Play for 3D Point Clouds. CoRR (2021)
Shi Qiu, Saeed Anwar, Nick Barnes
Dense-Resolution Network for Point Cloud Classification and Segmentation. WACV (2021)
Ce Wang, Moshiur R. Farazi, Nick Barnes
Recursive Training for Zero-Shot Semantic Segmentation. CoRR (2021)
Jiawei Liu, Jing Zhang, Nick Barnes
Confidence-Aware Learning for Camouflaged Object Detection. CoRR (2021)
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)
Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes
Robust normalizing flows using Bernstein-type polynomials. CoRR (2021)
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 (2021)
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
Learning structure-aware semantic segmentation with image-level supervision. CoRR (2021)
Weixuan Sun, Jing Zhang, Nick Barnes
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. CoRR (2021)
Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR (2021)
Jiawei Liu, Jing Zhang, Nick Barnes
Semi-supervised Salient Object Detection with Effective Confidence Estimation. CoRR (2021)
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)
Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan
Any-Shot Object Detection. CoRR (2020)
Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan
Any-Shot Object Detection. ACCV (3) (2020)
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) (2020)
Moshiur R. Farazi, Salman H. Khan, Nick Barnes
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models. CoRR (2020)
Shafin Rahman, Salman H. Khan, Nick Barnes
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. IEEE Trans. Multim. 22 (1) (2020)
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 (2020)
Weixuan Sun, Jing Zhang, Nick Barnes
3D Guided Weakly Supervised Semantic Segmentation. CoRR (2020)
Moshiur R. Farazi, Salman H. Khan, Nick Barnes
Question-Agnostic Attention for Visual Question Answering. ICPR (2020)
Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS (2020)
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)
Saeed Anwar, Nick Barnes, Lars Petersson
Attention Prior for Real Image Restoration. CoRR (2020)
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)
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)
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony
How to Train Your Event Camera Neural Network. CoRR (2020)
Jing Zhang, Jianwen Xie, Nick Barnes
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. ECCV (17) (2020)
Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. CVPR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nick Barnes