Inwoo Hwang

Affiliations

Columbia University

papers

135

total citations

papers (12)

PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization

CVPR 2025arXiv

citations

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning

ICML 2024arXiv

citations

Motion Synthesis with Sparse and Flexible Keyjoint Control

ICCV 2025arXiv

citations

SceneMI: Motion In-betweening for Modeling Human-Scene Interaction

ICCV 2025arXiv

citations

Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene

ICCV 2025arXiv

citations

Less is More: Improving Motion Diffusion Models with Sparse Keyframes

ICCV 2025arXiv

citations

On Positivity Condition for Causal Inference

ICML 2024

citations

Inwoo Hwang

Affiliations

papers (12)

SelecMix: Debiased Learning by Contradicting-pair Sampling

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details

SnapMoGen: Human Motion Generation from Expressive Texts

Learning Geometry-Aware Representations by Sketching

PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning

Motion Synthesis with Sparse and Flexible Keyjoint Control

SceneMI: Motion In-betweening for Modeling Human-Scene Interaction

Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene

Less is More: Improving Motion Diffusion Models with Sparse Keyframes

On Positivity Condition for Causal Inference

papers (12)

SelecMix: Debiased Learning by Contradicting-pair Sampling

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details

SnapMoGen: Human Motion Generation from Expressive Texts

Learning Geometry-Aware Representations by Sketching

PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning

Motion Synthesis with Sparse and Flexible Keyjoint Control

SceneMI: Motion In-betweening for Modeling Human-Scene Interaction

Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene

Less is More: Improving Motion Diffusion Models with Sparse Keyframes

On Positivity Condition for Causal Inference