conftrace_

Nick Barnes

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

Achievements

Jump to papers ↓
+12 more ↓ πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (63) 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (12) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (37) πŸ—ƒοΈ Keyword Collector (180) πŸ”₯ Unstoppable (9) ❓ The Questioner

Conferences

CVPR (11) WACV (10) ICCV (5) AAAI (3) ECCV (3) NIPS (3) EMNLP (1) ICLR (1)

Papers

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