Jaemin Cho

According to our database, Jaemin Cho authored at least 29 papers between 2018 and 2024.

Collaborative distances:

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

2024

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.

Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

CoRR, 2024

DOCCI: Descriptions of Connected and Contrasting Images.

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

CoRR, 2024

Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model.

Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal

CoRR, 2024

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents.

Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal

CoRR, 2024

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data.

Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

CoRR, 2024

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.

Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training.

David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the Computer Vision - ECCV 2024, 2024

Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts.

Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer

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

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation.

Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal

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

2023

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning.

Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal

CoRR, 2023

VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning.

Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal

CoRR, 2023

Visual Programming for Text-to-Image Generation and Evaluation.

Jaemin Cho, Abhay Zala, Mohit Bansal

CoRR, 2023

PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention.

Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Chained Image-Language Model for Video Localization and Question Answering.

Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal

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

Paxion: Patching Action Knowledge in Video-Language Foundation Models.

Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji

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

Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation.

Jaemin Cho, Abhay Zala, Mohit Bansal

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

DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models.

Jaemin Cho, Abhay Zala, Mohit Bansal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Video-Moment Retrieval and Step-Captioning.

Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers.

Jaemin Cho, Abhay Zala, Mohit Bansal

CoRR, 2022

TVLT: Textless Vision-Language Transformer.

Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning.

Yi-Lin Sung, Jaemin Cho, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-grained Image Captioning with CLIP Reward.

Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks.

Yi-Lin Sung, Jaemin Cho, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer.

Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal

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

Unifying Vision-and-Language Tasks via Text Generation.

Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers.

Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Mixture Content Selection for Diverse Sequence Generation.

Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

A Hierarchical Latent Structure for Variational Conversation Modeling.

Yookoon Park, Jaemin Cho, Gunhee Kim

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018