Chenlin Meng

32 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (48) 🧬 Topic Evolution 👑 Triple Crown 🤝 Dynamic Duo (28) 🏆 Grand Slam 📈 Trend Setter 🗃️ Keyword Collector (118) 🔥 Unstoppable (7) 💎 Century Club (32) ⚡ Prolific Year (9)

Conferences

NIPS (11) ICLR (7) CVPR (4) ICML (4) AAAI (2) AISTATS (2) ICCV (1) IJCAI (1)

Top co-authors

Stefano Ermon (28) Jiaming Song (9) Yang Song (9) David Lobell (6) Marshall Burke (6) Jun-Yan Zhu (4) Kristy Choi (3) Linqi Zhou (3) Yutong He (3) Shengjia Zhao (2)

Research topics

Probability (1)

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