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Nick Barnes

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Papers (16)

  1. AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset cs.CV · 2026 · author #7
  2. PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning cs.CV · 2022 · author #6
  3. Densely Residual Laplacian Super-Resolution eess.IV · 2019 · author #2
  4. Unsupervised Primitive Discovery for Improved 3D Generative Modeling cs.CV · 2019 · author #4
  5. CED: Color Event Camera Dataset cs.CV · 2019 · author #4
  6. Volumetric Convolution: Automatic Representation Learning in Unit Ball cs.LG · 2019 · author #3
  7. Asynchronous Spatial Image Convolutions for Event Cameras cs.CV · 2018 · author #2
  8. From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts cs.CV · 2018 · author #3
  9. Continuous-time Intensity Estimation Using Event Cameras cs.CV · 2018 · author #2
  10. Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation cs.CV · 2018 · author #3
  11. Deep Texture and Structure Aware Filtering Network for Image Smoothing cs.CV · 2017 · author #3
  12. Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features cs.CV · 2017 · author #4
  13. Perceptually Consistent Color-to-Gray Image Conversion cs.CV · 2016 · author #2
  14. Totally Corrective Multiclass Boosting with Binary Weak Learners cs.LG · 2010 · author #3
  15. Asymmetric Totally-corrective Boosting for Real-time Object Detection cs.CV · 2010 · author #3
  16. Totally Corrective Boosting for Regularized Risk Minimization cs.AI · 2010 · author #3

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