Jaemin Cho

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Visual Programming

Transfer Learning

Image Generation

Question Answering

Top Venues

NAACL-HLT (Findings)

Publications

David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training. CoRR (2024)
Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CoRR (2024)
Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. ICLR (2024)
Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR (2024)
Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR (2024)
Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model. CoRR (2024)
Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge
DOCCI: Descriptions of Connected and Contrasting Images. CoRR (2024)
Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation. CoRR (2023)
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
Paxion: Patching Action Knowledge in Video-Language Foundation Models. NeurIPS (2023)
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR (2023)
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
Paxion: Patching Action Knowledge in Video-Language Foundation Models. CoRR (2023)
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR (2023)
Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal
Self-Chained Image-Language Model for Video Localization and Question Answering. NeurIPS (2023)
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. CoRR (2023)
Jaemin Cho, Abhay Zala, Mohit Bansal
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation. NeurIPS (2023)
Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal
VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning. CoRR (2023)
Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV (2023)
Jaemin Cho, Abhay Zala, Mohit Bansal
DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. ICCV (2023)
Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning. CoRR (2023)
Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal
Self-Chained Image-Language Model for Video Localization and Question Answering. CoRR (2023)
Jaemin Cho, Abhay Zala, Mohit Bansal
Visual Programming for Text-to-Image Generation and Evaluation. CoRR (2023)
Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
TVLT: Textless Vision-Language Transformer. NeurIPS (2022)
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal
Fine-grained Image Captioning with CLIP Reward. NAACL-HLT (Findings) (2022)
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. CoRR (2022)
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR (2022)
Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
TVLT: Textless Vision-Language Transformer. CoRR (2022)
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. AAAI (2022)
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. NeurIPS (2022)
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal
Fine-grained Image Captioning with CLIP Reward. CoRR (2022)
Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. CoRR (2022)
Jaemin Cho, Abhay Zala, Mohit Bansal
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers. CoRR (2022)
Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
Unifying Vision-and-Language Tasks via Text Generation. ICML (2021)
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CoRR (2021)
Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. NeurIPS (2021)
Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. CoRR (2021)
Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
Unifying Vision-and-Language Tasks via Text Generation. CoRR (2021)
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. CoRR (2021)
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. EMNLP (1) (2020)
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. CoRR (2020)
Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi
Mixture Content Selection for Diverse Sequence Generation. CoRR (2019)
Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi
Mixture Content Selection for Diverse Sequence Generation. EMNLP/IJCNLP (1) (2019)
Yookoon Park, Jaemin Cho, Gunhee Kim
A Hierarchical Latent Structure for Variational Conversation Modeling. NAACL-HLT (2018)
Yookoon Park, Jaemin Cho, Gunhee Kim
A Hierarchical Latent Structure for Variational Conversation Modeling. CoRR (2018)