Xinghao Ding
41 papers · 2014–2026 · 8 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 (53) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(17)
π€
Dynamic Duo
(28)
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Prolific
ποΈ
Keyword Collector
(155)
π₯
Unstoppable Β· Silver
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(31)
Machine Learning
(26)
Processing
(24)
Deep Learning
(23)
Learning Types Β· Machine Learning
(11)
Analysis
(10)
Architectures
(9)
Learning Types Β· Deep Learning
(8)
Application Areas
(6)
Models
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Domain-Specific
(5)
Optimization & Theory
(5)
Core AI
(4)
Keywords
image restoration
(10)
unsupervised learning
(7)
image fusion
(5)
object detection
(5)
convolutional neural network
(5)
feature alignment
(4)
low-light image enhancement
(3)
domain adaptation
(3)
diffusion model
(3)
variational inference
(2)
domain generalization
(2)
image super-resolution
(2)
self-supervised learning
(2)
transfer learning
(2)
multispectral imaging
(2)
feature extraction
(2)
sparse representation
(2)
visual question answering
(2)
contrastive learning
(2)
image denoising
(2)
Papers
Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score
AAAI 2026
Implicit Variational Rejection Sampling
UAI 2026
JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization
CVPR 2026
MMMamba: A Versatile Cross-Modal in Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement
AAAI 2026
Self-supervised Multiplex Consensus Mamba for General Image Fusion
AAAI 2026
Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World
CVPR 2026
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
AAAI 2025
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
AAAI 2025
ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching
ICCV 2025
Bayesian Gaussian Process ODEs via Double Normalizing Flows
AISTATS 2025
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
ICML 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
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration
CVPR 2025
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
AAAI 2025
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline
CVPR 2025
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
AAAI 2024
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
AAAI 2024
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
Knowledge Condensation Distillation
ECCV 2022
Uncertainty Inspired Underwater Image Enhancement
ECCV 2022
Unsupervised Underwater Image Restoration: From a Homology Perspective
AAAI 2022
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection
ICCV 2021
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
CVPR 2021
Noise2Grad: Extract Image Noise to Denoise
IJCAI 2021
Rain Streak Removal via Dual Graph Convolutional Network
AAAI 2021
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering
ICCV 2021
Harmonizing Transferability and Discriminability for Adapting Object Detectors
CVPR 2020
A Variational Pan-Sharpening With Local Gradient Constraints
CVPR 2019
Deep Blind Hyperspectral Image Fusion
ICCV 2019
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
ICCV 2019
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
CVPR 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
CVPR 2019
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
ECCV 2018
MEnet: A Metric Expression Network for Salient Object Segmentation
IJCAI 2018
PanNet: A Deep Network Architecture for Pan-Sharpening
ICCV 2017
Removing Rain From Single Images via a Deep Detail Network
CVPR 2017
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
CVPR 2016
Pan-Sharpening With a Hyper-Laplacian Penalty
ICCV 2015
Pan-sharpening with a Bayesian nonparametric dictionary learning model
AISTATS 2014