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ORCIDJaemin Cho 0001
Person information
- affiliation: UNC Chapel Hill, NC, USA
- affiliation (former): Allen Institute for AI, Seattle, WA, USA
Other persons with the same name
- Jaemin Cho — disambiguation page
- Jaemin Cho 0002 — KAIST, Daejeon, Republic of Korea
- Jaemin Cho 0003 — Pohang University of Science and Technology, Pohang, Korea
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Conference and Workshop Papers
- 2024
[c17]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- 2023
- [c16]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR 2023: 23056-23065 - [c15]Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. ICCV 2023: 3020-3031 - [c14]Jaemin Cho, Abhay Zala, Mohit Bansal:
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation. NeurIPS 2023 - [c13]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 - [c12]Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal:
Self-Chained Image-Language Model for Video Localization and Question Answering. NeurIPS 2023 - [c11]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV 2023: 4399-4409 - 2022
- [c10]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: 11200-11208 - [c9]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR 2022: 5217-5227 - [c8]Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal:
Fine-grained Image Captioning with CLIP Reward. NAACL-HLT (Findings) 2022: 517-527 - [c7]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. NeurIPS 2022 - [c6]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. NeurIPS 2022 - 2021
- [c5]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. ICML 2021: 1931-1942 - [c4]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. NeurIPS 2021: 24468-24481 - 2020
- [c3]Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi:
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. EMNLP (1) 2020: 8785-8805 - 2019
- [c2]Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi:
Mixture Content Selection for Diverse Sequence Generation. EMNLP/IJCNLP (1) 2019: 3119-3129 - 2018
- [c1]Yookoon Park, Jaemin Cho, Gunhee Kim:
A Hierarchical Latent Structure for Variational Conversation Modeling. NAACL-HLT 2018: 1792-1801
Informal and Other Publications
- 2024
- [i26]David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training. CoRR abs/2403.02325 (2024) - [i25]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 abs/2403.06952 (2024) - [i24]Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal:
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR abs/2403.12014 (2024) - [i23]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CoRR abs/2404.00741 (2024) - [i22]Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal:
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model. CoRR abs/2404.09967 (2024) - [i21]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 abs/2404.19753 (2024) - 2023
- [i20]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR abs/2303.16406 (2023) - [i19]Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal:
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation. CoRR abs/2304.06671 (2023) - [i18]Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal:
Self-Chained Image-Language Model for Video Localization and Question Answering. CoRR abs/2305.06988 (2023) - [i17]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 abs/2305.10683 (2023) - [i16]Jaemin Cho, Abhay Zala, Mohit Bansal:
Visual Programming for Text-to-Image Generation and Evaluation. CoRR abs/2305.15328 (2023) - [i15]Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal:
VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning. CoRR abs/2309.15091 (2023) - [i14]Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal:
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning. CoRR abs/2310.12128 (2023) - [i13]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 abs/2310.18235 (2023) - 2022
- [i12]Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers. CoRR abs/2202.04053 (2022) - [i11]Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal:
Fine-grained Image Captioning with CLIP Reward. CoRR abs/2205.13115 (2022) - [i10]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. CoRR abs/2206.06522 (2022) - [i9]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. CoRR abs/2209.14156 (2022) - [i8]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. CoRR abs/2211.11701 (2022) - 2021
- [i7]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. CoRR abs/2102.02779 (2021) - [i6]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. CoRR abs/2107.02681 (2021) - [i5]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CoRR abs/2112.06825 (2021) - [i4]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 abs/2112.10728 (2021) - 2020
- [i3]Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi:
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. CoRR abs/2009.11278 (2020) - 2019
- [i2]Jaemin Cho, Min Joon Seo, Hannaneh Hajishirzi:
Mixture Content Selection for Diverse Sequence Generation. CoRR abs/1909.01953 (2019) - 2018
- [i1]Yookoon Park, Jaemin Cho, Gunhee Kim:
A Hierarchical Latent Structure for Variational Conversation Modeling. CoRR abs/1804.03424 (2018)
Coauthor Index
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