Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. - Akira Fukui; Dong Huk Park; Daylen Yang; Anna Rohrbach; Trevor Darrell; Marcus Rohrbach (EMNLP, 2016)

Multimodal Video Description. - Vasili Ramanishka; Abir Das; Dong Huk Park; Subhashini Venugopalan; Lisa Anne Hendricks; Marcus Rohrbach; Kate Saenko (ACM Multimedia, 2016)

Attentive Explanations: Justifying Decisions and Pointing to the Evidence. - Dong Huk Park; Lisa Anne Hendricks; Zeynep Akata; Bernt Schiele; Trevor Darrell; Marcus Rohrbach (CoRR, 2016)

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). - Dong Huk Park; Lisa Anne Hendricks; Zeynep Akata; Anna Rohrbach; Bernt Schiele; Trevor Darrell; Marcus Rohrbach (CoRR, 2017)

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. - Dong Huk Park; Lisa Anne Hendricks; Zeynep Akata; Anna Rohrbach; Bernt Schiele; Trevor Darrell; Marcus Rohrbach (CVPR, 2018)

Robust Change Captioning. - Dong Huk Park; Trevor Darrell; Anna Rohrbach (ICCV, 2019)

Learning a Unified Embedding for Visual Search at Pinterest. - Andrew Zhai; Hao-Yu Wu; Eric Tzeng; Dong Huk Park; Charles Rosenberg 001 (KDD, 2019)

Viewpoint Invariant Change Captioning. - Dong Huk Park; Trevor Darrell; Anna Rohrbach (CoRR, 2019)

Toward Transformer-Based Object Detection. - Josh Beal; Eric Kim; Eric Tzeng; Dong Huk Park; Andrew Zhai; Dmitry Kislyuk (CoRR, 2020)

Discovering Non-monotonic Autoregressive Orderings with Variational Inference. - Xuanlin Li; Brandon Trabucco; Dong Huk Park; Michael Luo; Sheng Shen 001; Trevor Darrell; Yang Gao 029 (ICLR, 2021)

Benchmark for Compositional Text-to-Image Synthesis. - Dong Huk Park; Samaneh Azadi; Xihui Liu; Trevor Darrell; Anna Rohrbach (NeurIPS Datasets and Benchmarks, 2021)

Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations. - Josh Beal; Hao-Yu Wu; Dong Huk Park; Andrew Zhai; Dmitry Kislyuk (WACV, 2022)

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. - Grace Luo; Lisa Dunlap; Dong Huk Park; Aleksander Holynski; Trevor Darrell (NeurIPS, 2023)

More Control for Free! Image Synthesis with Semantic Diffusion Guidance. - Xihui Liu; Dong Huk Park; Samaneh Azadi; Gong Zhang 011; Arman Chopikyan; Yuxiao Hu; Humphrey Shi; Anna Rohrbach; Trevor Darrell (WACV, 2023)

Vision and Language Understanding Through Generative Modeling - Dong Huk Park (2023)

Shape-Guided Diffusion with Inside-Outside Attention. - Dong Huk Park; Grace Luo; Clayton Toste; Samaneh Azadi; Xihui Liu; Maka Karalashvili; Anna Rohrbach; Trevor Darrell (WACV, 2024)