Xiaotong Tu

7 papers · 2023–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

AAAI (5) CVPR (1) ICCV (1)

Top co-authors

Xinghao Ding (7) Yue Huang (6) Yingying Wang (4) Yunlong Lin (3) Ge Meng (3) Jingjia Huang (2) Zhenqi Fu (2) Jingyan Tu (2) Yihong Zhuang (1) Xuanhua He (1)

Research topics

Computer Vision (6) Machine Learning (6) Deep Learning (5) Learning Types · Machine Learning (5) Processing (4) Learning Types · Deep Learning (2) Models (2) Analysis (1) Architectures (1) Core Methods (1) Domain-Specific (1) Generation (1)

Keywords

image restoration (3) unsupervised learning (3) self-supervised learning (2) low-light image enhancement (2) image fusion (2) diffusion model (2) wavelet transform (1) implicit representation (1) consensus learning (1) remote sensing (1) image denoising (1) state space model (1) convolutional neural network (1) diffusion prior (1) retinex theory (1) look-up table (1) deep image prior (1) generalized category discovery (1) novel category (1) hyperspectral image reconstruction (1)

Papers

Self-supervised Multiplex Consensus Mamba for General Image Fusion AAAI 2026 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening AAAI 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction AAAI 2025 Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances CVPR 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023