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 Monocular 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
[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
[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
[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