Sangwoo Mo

According to our database, Sangwoo Mo authored at least 36 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales.

Myeongsoo Kim, Eunji Kim, Minwoo Chae, Sangwoo Mo

CoRR, May, 2026

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning.

Junwon You, Mihyun Jang, Sangwoo Mo, Jae-Hun Jung

CoRR, April, 2026

Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis.

Junhyeok Choi, Sangwoo Mo, Minwoo Chae

CoRR, February, 2026

Aligning Forest and Trees in Images and Long Captions for Visually Grounded Understanding.

Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu

CoRR, February, 2026

SHED Light on Segmentation for Dense Prediction.

Seung Hyun Lee, Sangwoo Mo, Stella X. Yu

CoRR, January, 2026

2025

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting.

Sangoh Lee, Sangwoo Mo, Wook-Shin Han

CoRR, December, 2025

Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation.

Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz

CoRR, December, 2025

Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis.

Jiyun Bae, Hyunjong Ok, Sangwoo Mo, Jaeho Lee

CoRR, November, 2025

Sparsified State-Space Models are Efficient Highway Networks.

Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin

Trans. Mach. Learn. Res., 2025

Open Ad-hoc Categorization with Contextualized Feature Learning.

Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.

Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.

Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Hierarchical Image Segmentation For Recognition and By Recognition.

Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Discovering and Mitigating Visual Biases Through Keyword Explanation.

Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.

Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

Trans. Mach. Learn. Res., 2023

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions.

Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

CoRR, 2023

Diffusion Probabilistic Models for Graph-Structured Prediction.

Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn

CoRR, 2023

Explaining Visual Biases as Words by Generating Captions.

Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin

CoRR, 2023

S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions.

Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Probabilistic Models for Structured Node Classification.

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data.

Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

OAMixer: Object-aware Mixing Layer for Vision Transformers.

Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin

CoRR, 2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.

Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing.

Hyunkyu Park, Kyungseo Park, Sangwoo Mo, Jung Kim

IEEE Trans. Robotics, 2021

Abstract Reasoning via Logic-guided Generation.

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

CoRR, 2021

Object-aware Contrastive Learning for Debiased Scene Representation.

Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Layer-adaptive Sparsity for the Magnitude-based Pruning.

Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

Proceedings of the 9th International Conference on Learning Representations, 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification.

Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning.

Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

CoRR, 2020

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.

Sangwoo Mo, Minsu Cho, Jinwoo Shin

CoRR, 2020

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.

Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning.

Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Mining GOLD Samples for Conditional GANs.

Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor.

Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo, Jung Kim

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

InstaGAN: Instance-aware Image-to-Image Translation.

Sangwoo Mo, Minsu Cho, Jinwoo Shin

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Contextual Multi-armed Bandits under Feature Uncertainty.

Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin

CoRR, 2017