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2020 – today
- 2022
[j31]Saeed Anwar
, Nick Barnes:
Densely Residual Laplacian Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1192-1204 (2022)- [j30]Shi Qiu, Saeed Anwar, Nick Barnes:
Geometric Back-Projection Network for Point Cloud Classification. IEEE Trans. Multim. 24: 1943-1955 (2022) - [c123]Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. AAAI 2022: 3009-3017 - [c122]Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. AAAI 2022: 3280-3290 - [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 - [i58]Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes:
Towards Open-Set Object Detection and Discovery. CoRR abs/2204.05604 (2022) - [i57]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i56]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) - [i55]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) - 2021
- [j29]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) - [j28]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
- [j27]Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A Survey. ACM Comput. Surv. 53(3): 60:1-60:34 (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, Jose M. Alvarez, 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, Jose M. Alvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes:
Semantic labeling for prosthetic vision. Comput. Vis. Image Underst. 149: 113-125 (2016) - [j20]Jose M. Alvarez, 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]Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Efficient transductive semantic segmentation. WACV 2016: 1-9 - [i3]