Jing Yu Koh

According to our database, Jing Yu Koh authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

2024

Tree Search for Language Model Agents.

Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov

CoRR, 2024

Adversarial Attacks on Multimodal Agents.

Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan

CoRR, 2024

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web.

Raghav Kapoor, Yash Parag Butala, Melisa Russak, Jing Yu Koh, Kiran Kamble, Waseem AlShikh, Ruslan Salakhutdinov

Proceedings of the Computer Vision - ECCV 2024, 2024

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multimodal Graph Learning for Generative Tasks.

Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov

CoRR, 2023

Grounding Language Models to Images for Multimodal Generation.

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

CoRR, 2023

Generating Images with Multimodal Language Models.

Jing Yu Koh, Daniel Fried, Russ Salakhutdinov

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

Grounding Language Models to Images for Multimodal Inputs and Outputs.

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

Proceedings of the International Conference on Machine Learning, 2023

VQ3D: Learning a 3D-Aware Generative Model on ImageNet.

Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun

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

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning.

Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh

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

Simple and Effective Synthesis of Indoor 3D Scenes.

Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu

Trans. Mach. Learn. Res., 2022

Vector-quantized Image Modeling with Improved VQGAN.

Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Text-to-Image Generation Grounded by Fine-Grained User Attention.

Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction.

Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong

Proceedings of the 9th International Conference on Learning Representations, 2021

Pathdreamer: A World Model for Indoor Navigation.

Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Modal Contrastive Learning for Text-to-Image Generation.

Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information.

Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning.

Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Twitter-Informed Crowd Flow Prediction.

Gary Goh, Jing Yu Koh, Yue Zhang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data.

Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Object Boundary Detection and Classification with Image-Level Labels.

Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder

Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016

Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get?

Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder

CoRR, 2016