Nick Barnes

Identifiers

• name variant Nick Barnes 0.60 · backfill

Papers (82)

1. AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset cs.CV · 2026 · author #7
2. FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation cs.CV · 2025 · author #4
3. NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision cs.CV · 2025 · author #5
4. Open Set Label Shift with Test Time Out-of-Distribution Reference cs.LG · 2025 · author #4
5. SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation cs.CV · 2024 · author #4
6. LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image cs.CV · 2024 · author #9
7. Learning Gaussian Representation for Eye Fixation Prediction cs.CV · 2024 · author #4
8. All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation cs.CV · 2023 · author #8
9. Transferable Attack for Semantic Segmentation cs.CV · 2023 · author #5
10. P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds cs.CV · 2023 · author #7
11. Model Calibration in Dense Classification with Adaptive Label Perturbation cs.CV · 2023 · author #7
12. Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation cs.CV · 2023 · author #3
13. A Comprehensive Overview of Large Language Models cs.CL · 2023 · author #8
14. Weakly-supervised Contrastive Learning for Unsupervised Object Discovery cs.CV · 2023 · author #3
15. Rethinking Polyp Segmentation from an Out-of-Distribution Perspective eess.IV · 2023 · author #5
16. An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems cs.CV · 2023 · author #5
17. Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning cs.CV · 2023 · author #9
18. Transmission-Guided Bayesian Generative Model for Smoke Segmentation cs.CV · 2023 · author #3
19. PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning cs.CV · 2022 · author #6
20. Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion cs.CV · 2022 · author #5
21. The Devil in Linear Transformer cs.CL · 2022 · author #6
22. Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning cs.CV · 2022 · author #2
23. Generalised Co-Salient Object Detection cs.CV · 2022 · author #6
24. Vicinity Vision Transformer cs.CV · 2022 · author #7
25. Towards Deeper Understanding of Camouflaged Object Detection cs.CV · 2022 · author #5
26. An Energy-Based Prior for Generative Saliency cs.CV · 2022 · author #3
27. Towards Open-Set Object Detection and Discovery cs.CV · 2022 · author #5
28. Semi-supervised Salient Object Detection with Effective Confidence Estimation cs.CV · 2021 · author #3
29. Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction cs.CV · 2021 · author #3
30. GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation cs.CV · 2021 · author #5
31. Learning To Segment Dominant Object Motion From Watching Videos cs.CV · 2021 · author #4
32. PU-Transformer: Point Cloud Upsampling Transformer cs.CV · 2021 · author #3
33. Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model cs.CV · 2021 · author #5
34. Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation cs.CV · 2021 · author #3
35. Dense Uncertainty Estimation cs.LG · 2021 · author #10
36. RGB-D Saliency Detection via Cascaded Mutual Information Minimization cs.CV · 2021 · author #6
37. PnP-3D: A Plug-and-Play for 3D Point Clouds cs.CV · 2021 · author #3
38. Energy-Based Generative Cooperative Saliency Prediction cs.CV · 2021 · author #4
39. Confidence-Aware Learning for Camouflaged Object Detection cs.CV · 2021 · author #3
40. Generative Transformer for Accurate and Reliable Salient Object Detection cs.CV · 2021 · author #9
41. Learning structure-aware semantic segmentation with image-level supervision cs.CV · 2021 · author #4
42. Weakly Supervised Video Salient Object Detection cs.CV · 2021 · author #4
43. Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion cs.CV · 2021 · author #3
44. Simultaneously Localize, Segment and Rank the Camouflaged Objects cs.CV · 2021 · author #6
45. Recursive Training for Zero-Shot Semantic Segmentation cs.CV · 2021 · author #3
46. Robust normalizing flows using Bernstein-type polynomials cs.LG · 2021 · author #4
47. Uncertainty-Aware Deep Calibrated Salient Object Detection cs.CV · 2020 · author #5
48. 3D Guided Weakly Supervised Semantic Segmentation cs.CV · 2020 · author #3
49. Rethinking conditional GAN training: An approach using geometrically structured latent manifolds cs.CV · 2020 · author #4
50. Conditional Generative Modeling via Learning the Latent Space cs.LG · 2020 · author #4
51. Attention Guided Semantic Relationship Parsing for Visual Question Answering cs.CV · 2020 · author #3
52. Uncertainty Inspired RGB-D Saliency Detection cs.CV · 2020 · author #7
53. Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection cs.CV · 2020 · author #3
54. Dense-Resolution Network for Point Cloud Classification and Segmentation cs.CV · 2020 · author #3
55. Attention Based Real Image Restoration cs.CV · 2020 · author #2
56. UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders cs.CV · 2020 · author #7
57. A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers cs.CV · 2020 · author #2
58. Reducing the Sim-to-Real Gap for Event Cameras cs.CV · 2020 · author #5
59. Any-Shot Object Detection cs.CV · 2020 · author #3
60. Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models cs.CV · 2020 · author #3
61. Spectral-GANs for High-Resolution 3D Point-cloud Generation cs.CV · 2019 · author #3
62. Representation Learning on Unit Ball with 3D Roto-Translational Equivariance cs.CV · 2019 · author #3
63. Geometric Back-projection Network for Point Cloud Classification cs.CV · 2019 · author #3
64. Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes cs.LG · 2019 · author #3
65. Question-Agnostic Attention for Visual Question Answering cs.CV · 2019 · author #3
66. Densely Residual Laplacian Super-Resolution eess.IV · 2019 · author #2
67. Unsupervised Primitive Discovery for Improved 3D Generative Modeling cs.CV · 2019 · author #4
68. CED: Color Event Camera Dataset cs.CV · 2019 · author #4
69. A Deep Journey into Super-resolution: A survey cs.CV · 2019 · author #3
70. Real Image Denoising with Feature Attention cs.CV · 2019 · author #2
71. Volumetric Convolution: Automatic Representation Learning in Unit Ball cs.LG · 2019 · author #3
72. Asynchronous Spatial Image Convolutions for Event Cameras cs.CV · 2018 · author #2
73. From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts cs.CV · 2018 · author #3
74. Polarity Loss for Zero-shot Object Detection cs.CV · 2018 · author #3
75. Continuous-time Intensity Estimation Using Event Cameras cs.CV · 2018 · author #2
76. Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation cs.CV · 2018 · author #3
77. Deep Texture and Structure Aware Filtering Network for Image Smoothing cs.CV · 2017 · author #3
78. Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features cs.CV · 2017 · author #4
79. Perceptually Consistent Color-to-Gray Image Conversion cs.CV · 2016 · author #2
80. Totally Corrective Multiclass Boosting with Binary Weak Learners cs.LG · 2010 · author #3
81. Asymmetric Totally-corrective Boosting for Real-time Object Detection cs.CV · 2010 · author #3
82. Totally Corrective Boosting for Regularized Risk Minimization cs.AI · 2010 · author #3

Mentions

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Frequent Coauthors

• Jing Zhang 30 shared papers
• Saeed Anwar 16 shared papers
• Yuchao Dai 12 shared papers
• Salman Khan 11 shared papers
• Shi Qiu 10 shared papers
• Weixuan Sun 9 shared papers
• Yiran Zhong 8 shared papers
• Deng-Ping Fan 7 shared papers
• Sameera Ramasinghe 7 shared papers
• Jiawei Liu 6 shared papers
• Lars Petersson 6 shared papers
• Ruikai Cui 6 shared papers
• Weihao Li 6 shared papers
• Stephen Gould 5 shared papers
• Cedric Scheerlinck 4 shared papers
• Jianwen Xie 4 shared papers
• Kaihao Zhang 4 shared papers
• Mehrtash Harandi 4 shared papers
• Robert Mahony 4 shared papers
• Yunqiu Lv 4 shared papers