Barnes, Nick

51 publications

CVPR 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes

NeurIPS 2024 LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image Ruikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, Yang Li, Nick Barnes, Hongdong Li, Pan Ji

WACV 2024 Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes

CVPR 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes

ICCVW 2023 All-Pairs Consistency Learning for Weakly Supervised Semantic Segmentation Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes

CVPR 2023 Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes

ICCV 2023 Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes

ICCV 2023 P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes

AAAI 2022 Energy-Based Generative Cooperative Saliency Prediction Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

WACV 2022 Inferring the Class Conditional Response mAP for Weakly Supervised Semantic Segmentation Weixuan Sun, Jing Zhang, Nick Barnes

WACV 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes

CVPRW 2022 Towards Open-Set Object Detection and Discovery Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes

AAAI 2022 Transmission-Guided Bayesian Generative Model for Smoke Segmentation Siyuan Yan, Jing Zhang, Nick Barnes

ICLR 2021 Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould

WACV 2021 Dense-Resolution Network for Point Cloud Classification and Segmentation Shi Qiu, Saeed Anwar, Nick Barnes

NeurIPS 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li

ICCV 2021 RGB-D Saliency Detection via Cascaded Mutual Information Minimization Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao

NeurIPS 2021 Rethinking Conditional GAN Training: An Approach Using Geometrically Structured Latent Manifolds Sameera Ramasinghe, Moshiur Farazi, Salman H Khan, Nick Barnes, Stephen Gould

CVPR 2021 Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion Shi Qiu, Saeed Anwar, Nick Barnes

CVPR 2021 Simultaneously Localize, Segment and Rank the Camouflaged Objects Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan

CVPR 2021 Weakly Supervised Video Salient Object Detection Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han

WACV 2020 Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes Sameera Ramasinghe, Salman Khan, Nick Barnes, Stephen Gould

WACV 2020 Fast Image Reconstruction with an Event Camera Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert Mahony, Davide Scaramuzza

CVPR 2020 From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng

CVPRW 2020 Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene Lin Li, Salman H. Khan, Nick Barnes

AAAI 2020 Improved Visual-Semantic Alignment for Zero-Shot Object Detection Shafin Rahman, Salman H. Khan, Nick Barnes

ECCV 2020 Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang, Jianwen Xie, Nick Barnes

ECCV 2020 Reducing the Sim-to-Real Gap for Event Cameras Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony

CVPR 2020 UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes

CVPRW 2019 CED: Color Event Camera Dataset Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza

ICCV 2019 Real Image Denoising with Feature Attention Saeed Anwar, Nick Barnes

ICCVW 2019 Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene Lin Li, Salman H. Khan, Nick Barnes

ICCV 2019 Transductive Learning for Zero-Shot Object Detection Shafin Rahman, Salman Khan, Nick Barnes

CVPR 2019 Unsupervised Primitive Discovery for Improved 3D Generative Modeling Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes

WACV 2018 Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation Salman H. Khan, Munawar Hayat, Nick Barnes

ECCV 2018 Deep Texture and Structure Aware Filtering Network for Image Smoothing Kaiyue Lu, Shaodi You, Nick Barnes

ICCVW 2017 DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation David Feng, Nick Barnes, Shaodi You

ICCVW 2017 Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features Riku Shigematsu, David Feng, Shaodi You, Nick Barnes

ICCVW 2017 Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather Kunming Li, Yu Li, Shaodi You, Nick Barnes

WACV 2016 Efficient Transductive Semantic Segmentation José M. Álvarez, Mathieu Salzmann, Nick Barnes

CVPR 2016 Local Background Enclosure for RGB-D Salient Object Detection David Feng, Nick Barnes, Shaodi You, Chris McCarthy

WACV 2015 Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker

WACV 2014 Data-Driven Road Detection José M. Álvarez, Mathieu Salzmann, Nick Barnes

WACV 2014 Large-Scale Semantic Co-Labeling of Image Sets José M. Álvarez, Mathieu Salzmann, Nick Barnes

ICCVW 2013 Exploiting Sparsity for Real Time Video Labelling Lachlan Horne, Jose M. Alvarez, Nick Barnes

CVPR 2013 Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning Tao Wang, Xuming He, Nick Barnes

CVPR 2008 Directions of Egomotion from Antipodal Points John Lim, Nick Barnes

CVPR 2007 An MRF and Gaussian Curvature Based Shape Representation for Shape Matching Pengdong Xiao, Nick Barnes, Tibério S. Caetano, Paulette Lieby

ICCV 2007 Estimation of the Epipole Using Optical Flow at Antipodal Points John Lim, Nick Barnes

ICCV 2005 Regular Polygon Detection Nick Barnes, Gareth Loy, David Shaw, Antonio Robles-Kelly

ECCV 2000 Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow Nick Barnes, Giulio Sandini