Nick Barnes

papers

1,581

total citations

papers (15)

Simultaneously Localize, Segment and Rank the Camouflaged Objects

CVPR 2021arXiv

476

citations

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

CVPR 2020arXiv

365

citations

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

CVPR 2021arXiv

247

citations

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

ICCV 2021arXiv

119

citations

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction

NEURIPS 2021arXiv

107

citations

Weakly Supervised Video Salient Object Detection

CVPR 2021arXiv

citations

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

CVPR 2023arXiv

citations

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

ECCV 2020arXiv

citations

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

ICCV 2023arXiv

citations

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

NEURIPS 2021arXiv

citations

From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction

CVPR 2020

citations

Self-Calibrating Vicinal Risk Minimisation for Model Calibration

CVPR 2024

citations

Nick Barnes

papers (15)

Simultaneously Localize, Segment and Rank the Camouflaged Objects

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction

Weakly Supervised Video Salient Object Detection

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

Reducing the Sim-to-Real Gap for Event Cameras

Model Calibration in Dense Classification with Adaptive Label Perturbation

Open Set Label Shift with Test Time Out-of-Distribution Reference

From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction

Self-Calibrating Vicinal Risk Minimisation for Model Calibration

papers (15)

Simultaneously Localize, Segment and Rank the Camouflaged Objects

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction

Weakly Supervised Video Salient Object Detection

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

Reducing the Sim-to-Real Gap for Event Cameras

Model Calibration in Dense Classification with Adaptive Label Perturbation

Open Set Label Shift with Test Time Out-of-Distribution Reference

From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction

Self-Calibrating Vicinal Risk Minimisation for Model Calibration