Su Wang

According to our database, Su Wang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 2024

Evaluating Numerical Reasoning in Text-to-Image Models.

Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh

CoRR, 2024

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.

Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang

CoRR, 2024

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.

Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh

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

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.

Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian

CoRR, 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

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.

Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan

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

2022

Less is More: Generating Grounded Navigation Instructions from Landmarks.

Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson

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

2021

On the Evaluation of Vision-and-Language Navigation Instructions.

Ming Zhao, Peter Anderson, Vihan Jain, Su Wang, Alexander Ku, Jason Baldridge, Eugene Ie

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Narrative Interpolation for Generating and Understanding Stories.

Su Wang, Greg Durrett, Katrin Erk

CoRR, 2020

2019

The UTexas system for TAC 2019 SM-KBP Task 3: Hypothesis detection with graph convolutional networks.

Pengxiang Cheng, Alexander Tomkovich, Eric Holgate, Su Wang, Katrin Erk

Proceedings of the 2019 Text Analysis Conference, 2019

Query-focused Scenario Construction.

Su Wang, Greg Durrett, Katrin Erk

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

A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation.

Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Modeling Semantic Plausibility by Injecting World Knowledge.

Su Wang, Greg Durrett, Katrin Erk

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

Picking Apart Story Salads.

Su Wang, Eric Holgate, Greg Durrett, Katrin Erk

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Distributional model on a diet: One-shot word learning from text only.

Su Wang, Stephen Roller, Katrin Erk

CoRR, 2017

Distributional Modeling on a Diet: One-shot Word Learning from Text Only.

Su Wang, Stephen Roller, Katrin Erk

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Leveraging Discourse Information Effectively for Authorship Attribution.

Elisa Ferracane, Su Wang, Raymond J. Mooney

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017