Lei Lei
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Computer Vision
(9)
Machine Learning
(8)
Processing
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Artificial Intelligence
(3)
Analysis
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Core AI
(2)
Generation
(2)
Methods
(2)
Mathematics & Optimization
(1)
Keywords
self-supervised learning
(3)
normalizing flow
(2)
diffusion model
(2)
image restoration
(2)
image denoising
(2)
time series forecasting
(2)
image reconstruction
(2)
sequential monte carlo
(1)
image alignment
(1)
optimal transport
(1)
constrained optimization
(1)
flow matching
(1)
information bottleneck
(1)
nonsmooth optimization
(1)
image inpainting
(1)
optical flow
(1)
text representation
(1)
neural network regularization
(1)
multivariate time series
(1)
human analysis
(1)
Papers
DMAligner: Enhancing Image Alignment via Diffusion Model Based View Synthesis
CVPR 2026
RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching
AAAI 2026
Distributional Counterfactual Explanations With Optimal Transport
AISTATS 2025
Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter
ICCV 2025
Learning Real-World Image De-weathering with Imperfect Supervision
AAAI 2024
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
COLING 2024
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
ICLR 2024
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
ICCV 2023
CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition
ICCV 2023
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography
CVPR 2023
Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
ICCV 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
AAAI 2023
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
CVPR 2023
Deep Radial Embedding for Visual Sequence Learning
ECCV 2022
Memory Augmented State Space Model for Time Series Forecasting
IJCAI 2022
ProxSGD: Training Structured Neural Networks under Regularization and Constraints
ICLR 2020