Chenlin Meng
32 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(48)
π§¬
Topic Evolution
π
Triple Crown
π€
Dynamic Duo
(28)
π
Grand Slam
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Trend Setter
ποΈ
Keyword Collector
(118)
π₯
Unstoppable
(7)
π
Century Club
(32)
β‘
Prolific Year
(9)
Conferences
NIPS (11)
ICLR (7)
CVPR (4)
ICML (4)
AAAI (2)
AISTATS (2)
ICCV (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
generative model
(7)
satellite imagery
(5)
diffusion model
(5)
image generation
(4)
score matching
(4)
density estimation
(4)
remote sensing
(4)
normalizing flow
(3)
probability distribution
(3)
object detection
(2)
contrastive learning
(2)
image denoising
(2)
image classification
(2)
multimodal learning
(2)
autoregressive model
(2)
bayesian inference
(1)
few-shot learning
(1)
image restoration
(1)
transfer learning
(1)
benchmark evaluation
(1)
Papers
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
CVPR 2025
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
ICLR 2025
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
ICLR 2025
Keyframe-Guided Creative Video Inpainting
CVPR 2025
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
ICML 2024
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
AAAI 2024
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
CVPR 2024
DiffusionSat: A Generative Foundation Model for Satellite Imagery
ICLR 2024
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
ICML 2024
Dual Diffusion Implicit Bridges for Image-to-Image Translation
ICLR 2023
On Distillation of Guided Diffusion Models
CVPR 2023
Holistic Evaluation of Text-to-Image Models
NIPS 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data
NIPS 2022
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
AAAI 2022
Density Ratio Estimation via Infinitesimal Classification
AISTATS 2022
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
ICLR 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
ICML 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
NIPS 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
NIPS 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
NIPS 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
NIPS 2022
Denoising Diffusion Implicit Models
ICLR 2021
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
NIPS 2021
Geography-Aware Self-Supervised Learning
ICCV 2021
Improved Autoregressive Modeling with Distribution Smoothing
ICLR 2021
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
ICML 2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising
NIPS 2021
Autoregressive Score Matching
NIPS 2020
Gaussianization Flows
AISTATS 2020
Learning to Interpret Satellite Images using Wikipedia
IJCAI 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
NIPS 2019