A Meta Learning Approach to Grammatical Error Correction. - Hongsuck Seo; Jonghoon Lee; Seokhwan Kim; Kyusong Lee; Sechun Kang; Gary Geunbae Lee (ACL (2), 2012)

Grammatical Error Annotation for Korean Learners of Spoken English. - Hongsuck Seo; Kyusong Lee; Gary Geunbae Lee; Soo-Ok Kweon; Hae-Ri Kim (LREC, 2012)

Generating grammar questions using corpus data in L2 learning. - Kyusong Lee; Soo-Ok Kweon; Hongsuck Seo; Gary Geunbae Lee (SLT, 2012)

Grammatical error correction based on learner comprehension model in oral conversation. - Kyusong Lee; Seonghan Ryu; Hongsuck Seo; Seokhwan Kim; Gary Geunbae Lee (SLT, 2014)

Conversational Knowledge Teaching Agent that uses a Knowledge Base. - Kyusong Lee; Paul Hongsuck Seo; Junhwi Choi; Sangjun Koo; Gary Geunbae Lee (SIGDIAL Conference, 2015)

Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction. - Hyeonwoo Noh; Paul Hongsuck Seo; Bohyung Han (CVPR, 2016)

Hierarchical Attention Networks. - Paul Hongsuck Seo; Zhe Lin 001; Scott Cohen; Xiaohui Shen; Bohyung Han (CoRR, 2016)

MarioQA: Answering Questions by Watching Gameplay Videos. - Jonghwan Mun; Paul Hongsuck Seo; Ilchae Jung; Bohyung Han (ICCV, 2017)

Visual Reference Resolution using Attention Memory for Visual Dialog. - Paul Hongsuck Seo; Andreas M. Lehrmann; Bohyung Han; Leonid Sigal (NIPS, 2017)

Progressive Attention Networks for Visual Attribute Prediction. - Paul Hongsuck Seo; Zhe Lin 001; Scott Cohen; Xiaohui Shen; Bohyung Han (BMVC, 2018)

Attentive Semantic Alignment with Offset-Aware Correlation Kernels. - Paul Hongsuck Seo; Jongmin Lee 005; Deunsol Jung; Bohyung Han; Minsu Cho (ECCV (4), 2018)

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps. - Paul Hongsuck Seo; Tobias Weyand; Jack Sim; Bohyung Han (ECCV (10), 2018)

Confidence Calibration in Deep Neural Networks through Stochastic Inferences. - Seonguk Seo; Paul Hongsuck Seo; Bohyung Han (CoRR, 2018)

Regularizing Neural Networks via Stochastic Branch Layers. - Wonpyo Park; Paul Hongsuck Seo; Bohyung Han; Minsu Cho (ACML, 2019)

Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences. - Seonguk Seo; Paul Hongsuck Seo; Bohyung Han (CVPR, 2019)

Combinatorial Inference against Label Noise. - Paul Hongsuck Seo; Geeho Kim; Bohyung Han (NeurIPS, 2019)

Reinforcing an Image Caption Generator Using Off-Line Human Feedback. - Paul Hongsuck Seo; Piyush Sharma; Tomer Levinboim; Bohyung Han; Radu Soricut (AAAI, 2020)

Look Before You Speak: Visually Contextualized Utterances. - Paul Hongsuck Seo; Arsha Nagrani; Cordelia Schmid (CVPR, 2021)

End-to-end Generative Pretraining for Multimodal Video Captioning. - Paul Hongsuck Seo; Arsha Nagrani; Anurag Arnab; Cordelia Schmid (CVPR, 2022)

Learning Audio-Video Modalities from Image Captions. - Arsha Nagrani; Paul Hongsuck Seo; Bryan Seybold; Anja Hauth; Santiago Manen; Chen Sun 002; Cordelia Schmid (ECCV (14), 2022)

AVATAR: Unconstrained Audiovisual Speech Recognition. - Valentin Gabeur; Paul Hongsuck Seo; Arsha Nagrani; Chen Sun 002; Karteek Alahari; Cordelia Schmid (INTERSPEECH, 2022)

AVATAR submission to the Ego4D AV Transcription Challenge. - Paul Hongsuck Seo; Arsha Nagrani; Cordelia Schmid (CoRR, 2022)

AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR. - Paul Hongsuck Seo; Arsha Nagrani; Cordelia Schmid (CVPR, 2023)

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. - Antoine Yang; Arsha Nagrani; Paul Hongsuck Seo; Antoine Miech; Jordi Pont-Tuset; Ivan Laptev; Josef Sivic; Cordelia Schmid (CVPR, 2023)

Zero-shot Referring Image Segmentation with Global-Local Context Features. - Seonghoon Yu; Paul Hongsuck Seo; Jeany Son (CVPR, 2023)

IFSeg: Image-free Semantic Segmentation via Vision-Language Model. - Sukmin Yun; Seong Hyeon Park; Paul Hongsuck Seo; Jinwoo Shin (CVPR, 2023)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Seungjun An; Seungjun Lee; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CoRR, 2023)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CVPR, 2024)

Learning Correlation Structures for Vision Transformers. - Manjin Kim; Paul Hongsuck Seo; Cordelia Schmid; Minsu Cho (CVPR, 2024)

Pseudo-RIS: Distinctive Pseudo-Supervision Generation for Referring Image Segmentation. - Seonghoon Yu; Paul Hongsuck Seo; Jeany Son (ECCV (68), 2024)

TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation. - Seong Hyeon Park; Huiwon Jang; Byungwoo Jeon; Sukmin Yun; Paul Hongsuck Seo; Jinwoo Shin (NeurIPS, 2024)

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. - Heeseong Shin; Chaehyun Kim; Sunghwan Hong; Seokju Cho; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (NeurIPS, 2024)

Multi-Granularity Video Object Segmentation. - Sangbeom Lim; Seongchan Kim; Seungjun An; Seokju Cho; Paul Hongsuck Seo; Seungryong Kim (AAAI, 2025)

ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision. - Dosung Lee; Wonjun Oh; Boyoung Kim; Minyoung Kim; Joonsuk Park; Paul Hongsuck Seo (ACL (1), 2025)

Random Conditioning for Diffusion Model Compression with Distillation. - Dohyun Kim; Sehwan Park; Geonhee Han; Seung Wook Kim; Paul Hongsuck Seo (CVPR, 2025)

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs. - Sumin An; Junyoung Sung; Wonpyo Park; Chanjun Park; Paul Hongsuck Seo (NAACL (Long Papers), 2025)

Spectral-Adaptive Modulation Networks for Visual Perception. - Guhnoo Yun; Juhan Yoo; Kijung Kim; Jeongho Lee; Paul Hongsuck Seo; Dong Hwan Kim (CoRR, 2025)

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression. - Dohyun Kim; Sehwan Park; Geonhee Han; Seung Wook Kim; Paul Hongsuck Seo (CoRR, 2025)

DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization. - Geonyoung Lee; Geonhee Han; Paul Hongsuck Seo (CoRR, 2025)

Bridging Audio and Vision: Zero-Shot Audiovisual Segmentation by Connecting Pretrained Models. - Seung-jae Lee; Paul Hongsuck Seo (CoRR, 2025)

Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries. - Minyoung Kim; Sehwan Park; Sungmin Cha; Paul Hongsuck Seo (CoRR, 2025)