Gang Fu
17 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
(4)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
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Research topics
Machine Learning
(9)
Computer Vision
(7)
Deep Learning
(7)
Processing
(7)
Core Methods
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Computer Science
(3)
Application Areas
(3)
Architectures
(3)
Learning Types
(3)
Models
(3)
Artificial Intelligence
(2)
Applications
(2)
Keywords
image restoration
(5)
specular highlight removal
(4)
tucker decomposition
(2)
combinatorial optimization
(2)
feature selection
(2)
greedy algorithm
(2)
tensor decomposition
(2)
neural network
(2)
linear regression
(2)
locality sensitive hashing
(1)
nearest neighbor search
(1)
probability distribution
(1)
adversarial learning
(1)
auc
(1)
mutual information
(1)
approximate nearest neighbor
(1)
domain adaptation
(1)
label aggregation
(1)
adaptive filtering
(1)
feature transformation
(1)
Papers
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
ICML 2025
DeepCrossAttention: Supercharging Transformer Residual Connections
ICML 2025
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
CVPR 2025
Neural Solver of Dichromatic Reflection Model for Specular Highlight Removal
ICCV 2025
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model
AAAI 2025
Correlation Matching Transformation Transformers for UHD Image Restoration
AAAI 2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
ICLR 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
NeurIPS 2024
Two-Stage Video Shadow Detection via Temporal-Spatial Adaption
ECCV 2024
Approximately Optimal Core Shapes for Tensor Decompositions
ICML 2023
Sequential Attention for Feature Selection
ICLR 2023
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
ICCV 2023
Deep Image-Based Illumination Harmonization
CVPR 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
NeurIPS 2022
A Multi-Task Network for Joint Specular Highlight Detection and Removal
CVPR 2021
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
NeurIPS 2019
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
ICML 2016