Chuan Sheng Foo
19 papers · 2007–2024 · 7 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 (51) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(10)
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Keyword Champion
(2)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Keyword Collector
(107)
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Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Optimization & Theory
(10)
Application Areas
(8)
Core AI
(8)
Learning Types
(8)
Computer Vision
(5)
Analysis
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core Methods
(2)
Generation
(2)
Keywords
data valuation
(4)
3d reconstruction
(3)
bayesian optimization
(3)
gaussian process
(2)
maximum mean discrepancy
(2)
shapley value
(2)
active learning
(2)
no-regret algorithm
(2)
fairness guarantee
(2)
sample efficiency
(2)
convex optimization
(1)
gradient-based optimization
(1)
object detection
(1)
unsupervised domain adaptation
(1)
hyperparameter optimization
(1)
model selection
(1)
hyperparameter learning
(1)
monte carlo estimation
(1)
sequence labeling
(1)
video analysis
(1)
Papers
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
ECCV 2024
Data Distribution Valuation
NeurIPS 2024
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
AAAI 2024
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
CVPR 2024
REACTO: Reconstructing Articulated Objects from a Single Video
CVPR 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NeurIPS 2024
Bayesian Optimization with Cost-varying Variable Subsets
NeurIPS 2023
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
AISTATS 2023
Model Shapley: Equitable Model Valuation with Black-box Access
NeurIPS 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
AISTATS 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study
EACL 2023
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
ICML 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
AAAI 2022
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
NeurIPS 2021
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs
CVPR 2021
Validation Free and Replication Robust Volume-based Data Valuation
NeurIPS 2021
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
CVPR 2019
Efficient multiple hyperparameter learning for log-linear models
NeurIPS 2007