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Nick Barnes

37 papers · 2013–2026 · 8 venues · across top CS/AI venues

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (12) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (12) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (181)

Papers

AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset WACV 2026 DermEVAL: A Dermatologist-Reviewed Benchmark for Multimodal Large Language Models WACV 2026 False Alarm Rectification for Early Smoke Segmentation WACV 2026 SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection WACV 2026 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024 LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning CVPR 2023 Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023 P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds ICCV 2023 Energy-Based Generative Cooperative Saliency Prediction AAAI 2022 Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation WACV 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022 The Devil in Linear Transformer EMNLP 2022 Transmission-Guided Bayesian Generative Model for Smoke Segmentation AAAI 2022 Conditional Generative Modeling via Learning the Latent Space ICLR 2021 Dense-Resolution Network for Point Cloud Classification and Segmentation WACV 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NeurIPS 2021 Rethinking conditional GAN training: An approach using geometrically structured latent manifolds NeurIPS 2021 RGB-D Saliency Detection via Cascaded Mutual Information Minimization ICCV 2021 Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion CVPR 2021 Simultaneously Localize, Segment and Rank the Camouflaged Objects CVPR 2021 Weakly Supervised Video Salient Object Detection CVPR 2021 Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes WACV 2020 Fast Image Reconstruction with an Event Camera WACV 2020 From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction CVPR 2020 Improved Visual-Semantic Alignment for Zero-Shot Object Detection AAAI 2020 Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection ECCV 2020 Reducing the Sim-to-Real Gap for Event Cameras ECCV 2020 UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020 Real Image Denoising With Feature Attention ICCV 2019 Transductive Learning for Zero-Shot Object Detection ICCV 2019 Unsupervised Primitive Discovery for Improved 3D Generative Modeling CVPR 2019 Deep Texture and Structure Aware Filtering Network for Image Smoothing ECCV 2018 Local Background Enclosure for RGB-D Salient Object Detection CVPR 2016 Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning CVPR 2013