Publications


C: conference, W: workshop, J: journal, P: preprint / * equal contribution, ^ equal advising


[P4] Overthinking Leads to Bias in Visual Reasoning Models

Jiyun Bae, Sangyoon Lee, Sangwoo Mo, Jaeho Lee

paper / code


[P3] Aligning Forest and Trees in Images and Long Captions for Cross-Domain Grounding

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

paper / code


[P2] Multimodal Dataset Distillation Made Simple by Prototype-guided Data Synthesis

Junhyeok Choi, Sangwoo Mo, Minwoo Chae

paper / code


[P1] 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

paper / code


[W4] SHED Light on Segmentation for Depth Estimation

Seung-Hyun Lee*, Sangwoo Mo*, Stella X. Yu

ICCVW 2025 | paper / code


[C17] Open Ad-hoc Categorization with Contextualized Feature Learning

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

CVPR 2025 | paper / website / code


[J3] Sparsified State-Space Models are Efficient Highway Networks

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

TMLR 2025 | paper / slide / poster / code


[C16] Discovering and Mitigating Visual Biases through Keyword Explanation

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

CVPR 2024 (highlight) | paper / slide / poster / code


[C15] Learning Hierarchical Image Segmentation For Recognition and By Recognition

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

ICLR 2024 (spotlight) | paper / slide / poster / code


[C14] 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

ICLR 2024 | paper / slide / poster / code


[C13] 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

ICLR 2024 | paper / slide / poster / code


[C12] S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions

Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

NeurIPS 2023 | paper / slide / poster / code


[C11] Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

NeurIPS 2023 | paper / code


[J2] Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling

Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

TMLR 2023 | paper / slide / poster / code


[C10] RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

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

ICLR 2023 | paper / slide / poster / code


[W3] OAMixer: Object-aware Mixing Layer for Vision Transformers

Hyunwoo Kang*, Sangwoo Mo*, Jinwoo Shin

CVPRW 2022 | paper / poster / code

Best Paper Award, Korean AI Association Fall Conference, 2022


[C9] Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

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

ICLR 2022 | paper / website / code


[C8] Object-aware Contrastive Learning for Debiased Scene Representation

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

NeurIPS 2021 | paper / slide / poster / code

Qualcomm Innovation Fellowship Korea, 2021


[W2] Abstract Reasoning via Logic-guided Generation

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

ICMLW 2021 | paper / slide


[C7] Layer-adaptive Sparsity for the Magnitude-based Pruning

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

ICLR 2021 | paper / slide / code


[C6] MASKER: Masked Keyword Regularization for Reliable Text Classification

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

AAAI 2021 | paper / slide / poster / code


[J1] Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing

Hyunkyu Park, Kyungseo Park, Sangwoo Mo, Jung Kim

T-RO 2021 | paper


[C5] CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Jihoon Tack*, Sangwoo Mo*, Jongheon Jeong, Jinwoo Shin

NeurIPS 2020 | paper / slide / poster / code

Qualcomm Innovation Fellowship Korea, 2020


[W1] Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

Sangwoo Mo, Minsu Cho, Jinwoo Shin

CVPRW 2020 | paper / slide / code / media-(1, 2, 3)


[C4] Lookahead: A Far-sighted Alternative of Magnitude-based Pruning

Sejun Park*, Jaeho Lee*, Sangwoo Mo, Jinwoo Shin

ICLR 2020 | paper / slide / code


[C3] Mining GOLD Samples for Conditional GANs

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

NeurIPS 2019 | paper / slide / poster / code


[C2] Deep Neural Network Approach in Electrical Impedance Tomography-Based Real-Time Soft Tactile Sensor

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

IROS 2019 | paper / slide


[C1] InstaGAN: Instance-aware Image-to-Image Translation

Sangwoo Mo, Minsu Cho, Jinwoo Shin

ICLR 2019 | paper / slide / poster / code / media-(1, 2, 3, 4)

▸ Bronze Prize, Samsung Humantech Paper Awards, 2019