Xiaolin Wu
16 papers · 2015–2025 · 5 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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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half
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Keyword Champion
(2)
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(70)
Venues
Top co-authors
Research topics
Computer Vision
(13)
Machine Learning
(10)
Processing
(10)
Deep Learning
(9)
Architectures
(5)
Optimization & Theory
(5)
Application Areas
(4)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Machine Learning
(2)
Keywords
neural network
(4)
image restoration
(4)
lattice vector quantization
(3)
convolutional neural network
(3)
image compression
(2)
neural image compression
(2)
sparse coding
(1)
pose estimation
(1)
adversarial learning
(1)
attention mechanism
(1)
feature matching
(1)
point cloud
(1)
3d vision
(1)
video restoration
(1)
image super-resolution
(1)
self-supervised learning
(1)
image denoising
(1)
visual cognition
(1)
sparse representation
(1)
deep learning
(1)
Papers
MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
ICCV 2025
Multirate Neural Image Compression with Adaptive Lattice Vector Quantization
CVPR 2025
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
ECCV 2024
Learning Degradation-Independent Representations for Camera ISP Pipelines
CVPR 2024
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
NeurIPS 2024
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
NeurIPS 2023
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
NeurIPS 2023
LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression
CVPR 2023
Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton
CVPR 2021
Functional Neural Networks for Parametric Image Restoration Problems
NeurIPS 2021
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads
CVPR 2020
On Numerosity of Deep Neural Networks
NeurIPS 2020
Cognitive Deficit of Deep Learning in Numerosity
AAAI 2019
Deep Restoration of Vintage Photographs From Scanned Halftone Prints
ICCV 2019
Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain
CVPR 2015
Video Restoration Against Yin-Yang Phasing
ICCV 2015