Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? - Jing Yu Koh; Wojciech Samek; Klaus-Robert Müller; Alexander Binder (CoRR, 2016)

Object Boundary Detection and Classification with Image-Level Labels. - Jing Yu Koh; Wojciech Samek; Klaus-Robert Müller; Alexander Binder (GCPR, 2017)

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. - Tian Feng 001; Quang-Trung Truong; Duc Thanh Nguyen; Jing Yu Koh; Lap-Fai Yu; Alexander Binder; Sai-Kit Yeung (ECCV (8), 2018)

Twitter-Informed Crowd Flow Prediction. - Gary Goh; Jing Yu Koh; Yue Zhang (ICDM Workshops, 2018)

Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. - Supriyo Ghosh; Jing Yu Koh; Patrick Jaillet (IJCAI, 2019)

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 (ECCV (24), 2020)

Cross-Modal Contrastive Learning for Text-to-Image Generation. - Han Zhang 010; Jing Yu Koh; Jason Baldridge; Honglak Lee; Yinfei Yang (CVPR, 2021)

Pathdreamer: A World Model for Indoor Navigation. - Jing Yu Koh; Honglak Lee; Yinfei Yang; Jason Baldridge; Peter Anderson (ICCV, 2021)

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. - Wonkwang Lee; Whie Jung; Han Zhang 010; Ting Chen 001; Jing Yu Koh; Thomas E. Huang; Hyungsuk Yoon; Honglak Lee; Seunghoon Hong (ICLR, 2021)

Text-to-Image Generation Grounded by Fine-Grained User Attention. - Jing Yu Koh; Jason Baldridge; Honglak Lee; Yinfei Yang (WACV, 2021)

Vector-quantized Image Modeling with Improved VQGAN. - Jiahui Yu; Xin Li; Jing Yu Koh; Han Zhang 010; Ruoming Pang; James Qin; Alexander Ku; Yuanzhong Xu; Jason Baldridge; Yonghui Wu (ICLR, 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; et al. (Trans. Mach. Learn. Res., 2022)

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 (AAAI, 2023)

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. - Aishwarya Kamath; Peter Anderson; Su Wang 001; Jing Yu Koh; Alexander Ku; Austin Waters; Yinfei Yang; Jason Baldridge; Zarana Parekh (CVPR, 2023)

VQ3D: Learning a 3D-Aware Generative Model on ImageNet. - Kyle Sargent; Jing Yu Koh; Han Zhang 010; Huiwen Chang; Charles Herrmann; Pratul P. Srinivasan; Jiajun Wu 001; Deqing Sun (ICCV, 2023)

Grounding Language Models to Images for Multimodal Inputs and Outputs. - Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried (ICML, 2023)

Generating Images with Multimodal Language Models. - Jing Yu Koh; Daniel Fried; Russ Salakhutdinov (NeurIPS, 2023)

Grounding Language Models to Images for Multimodal Generation. - Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried (CoRR, 2023)

Multimodal Graph Learning for Generative Tasks. - Minji Yoon; Jing Yu Koh; Bryan Hooi; Ruslan Salakhutdinov (CoRR, 2023)

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 (ACL (1), 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 (ECCV (68), 2024)

Adversarial Attacks on Multimodal Agents. - Chen Henry Wu; Jing Yu Koh; Ruslan Salakhutdinov; Daniel Fried; Aditi Raghunathan (CoRR, 2024)

Tree Search for Language Model Agents. - Jing Yu Koh; Stephen McAleer; Daniel Fried; Ruslan Salakhutdinov (CoRR, 2024)

Dissecting Adversarial Robustness of Multimodal LM Agents. - Chen Henry Wu; Rishi Rajesh Shah; Jing Yu Koh; Russ Salakhutdinov; Daniel Fried; Aditi Raghunathan (ICLR, 2025)