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Jing Yu Koh

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2020 – today

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2024
[c17]
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Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. ACL (1) 2024: 881-905
[c16]
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Raghav Kapoor, Yash Parag Butala, Melisa Russak, Jing Yu Koh, Kiran Kamble, Waseem AlShikh, Ruslan Salakhutdinov:
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web. ECCV (68) 2024: 161-178
[i18]
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  - journals/corr/abs-2401-13649
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Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. CoRR abs/2401.13649 (2024)
[i17]
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Raghav Kapoor, Yash Parag Butala, Melisa Russak, Jing Yu Koh, Kiran Kamble, Waseem AlShikh, Ruslan Salakhutdinov:
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web. CoRR abs/2402.17553 (2024)
[i16]
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  - journals/corr/abs-2406-12814
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Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan:
Adversarial Attacks on Multimodal Agents. CoRR abs/2406.12814 (2024)
[i15]
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  - journals/corr/abs-2407-01476
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Jing Yu Koh, Stephen McAleer, Daniel Fried, Ruslan Salakhutdinov:
Tree Search for Language Model Agents. CoRR abs/2407.01476 (2024)
2023
[c15]
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Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Simple and Effective Synthesis of Indoor 3D Scenes. AAAI 2023: 1169-1178
[c14]
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Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh:
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CVPR 2023: 10813-10823
[c13]
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Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. ICCV 2023: 4217-4227
[c12]
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Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried:
Grounding Language Models to Images for Multimodal Inputs and Outputs. ICML 2023: 17283-17300
[c11]
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Jing Yu Koh, Daniel Fried, Russ Salakhutdinov:
Generating Images with Multimodal Language Models. NeurIPS 2023
[i14]
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  - journals/corr/abs-2301-13823
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Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried:
Grounding Language Models to Images for Multimodal Generation. CoRR abs/2301.13823 (2023)
[i13]
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  - journals/corr/abs-2302-06833
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Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. CoRR abs/2302.06833 (2023)
[i12]
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  - journals/corr/abs-2305-17216
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Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov:
Generating Images with Multimodal Language Models. CoRR abs/2305.17216 (2023)
[i11]
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  - journals/corr/abs-2310-07478
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Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov:
Multimodal Graph Learning for Generative Tasks. CoRR abs/2310.07478 (2023)
2022
[j1]
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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:
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. Trans. Mach. Learn. Res. 2022 (2022)
[c10]
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Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu:
Vector-quantized Image Modeling with Improved VQGAN. ICLR 2022
[i10]
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  - journals/corr/abs-2204-02960
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Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Simple and Effective Synthesis of Indoor 3D Scenes. CoRR abs/2204.02960 (2022)
[i9]
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  - journals/corr/abs-2206-10789
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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:
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. CoRR abs/2206.10789 (2022)
[i8]
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  - journals/corr/abs-2210-03112
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Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, Zarana Parekh:
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. CoRR abs/2210.03112 (2022)
2021
[c9]
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  - conf/cvpr/0010KBLY21
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Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. CVPR 2021: 833-842
[c8]
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Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Pathdreamer: A World Model for Indoor Navigation. ICCV 2021: 14718-14728
[c7]
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Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR 2021
[c6]
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Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Text-to-Image Generation Grounded by Fine-Grained User Attention. WACV 2021: 237-246
[i7]
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  - journals/corr/abs-2101-04702
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Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. CoRR abs/2101.04702 (2021)
[i6]
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  - journals/corr/abs-2104-06697
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Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR abs/2104.06697 (2021)
[i5]
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  - journals/corr/abs-2105-08756
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Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Pathdreamer: A World Model for Indoor Navigation. CoRR abs/2105.08756 (2021)
[i4]
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  - journals/corr/abs-2110-04627
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Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu:
Vector-quantized Image Modeling with Improved VQGAN. CoRR abs/2110.04627 (2021)
2020
[c5]
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  - conf/eccv/KohNTYB20
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Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder:
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. ECCV (24) 2020: 103-118
[i3]
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  - journals/corr/abs-2002-02634
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Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder:
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. CoRR abs/2002.02634 (2020)
[i2]
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  - journals/corr/abs-2011-03775
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Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Text-to-Image Generation Grounded by Fine-Grained User Attention. CoRR abs/2011.03775 (2020)

2010 – 2019

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2019
[c4]
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  - conf/ijcai/GhoshKJ19
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Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet:
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. IJCAI 2019: 5864-5870
2018
[c3]
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  - conf/eccv/FengTNKYBY18
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Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung:
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. ECCV (8) 2018: 627-644
[c2]
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  - conf/icdm/GohKZ18
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Gary Goh, Jing Yu Koh, Yue Zhang:
Twitter-Informed Crowd Flow Prediction. ICDM Workshops 2018: 624-631
2017
[c1]
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  - conf/dagm/KohSMB17
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Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder:
Object Boundary Detection and Classification with Image-Level Labels. GCPR 2017: 153-164
2016
[i1]
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Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder:
Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? CoRR abs/1606.09187 (2016)

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