Jae Sung Park
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. | Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | CVPR | Synthetic Visual Genome. | Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna |
| 2025 | ICLR | CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. | Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi |
| 2023 | CVPR | Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. | Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi |
| 2022 | ECCV | The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. | Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi |
| 2022 | NAACL | Exposing the Limits of Video-Text Models through Contrast Sets. | Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach |
| 2020 | ECCV | VisualCOMET: Reasoning About the Dynamic Context of a Still Image. | Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi |
| 2020 | ECCV | Identity-Aware Multi-sentence Video Description. | Jae Sung Park, Trevor Darrell, Anna Rohrbach |
| 2020 | EMNLP | Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. | Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2019 | CVPR | Adversarial Inference for Multi-Sentence Video Description. | Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach |
| 2019 | CVPR | Adversarial Inference for Multi-Sentence Video Description. | Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach |
| 2019 | ICRA | Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping. | Jae Sung Park, Biao Jia, Mohit Bansal, Dinesh Manocha |
| 2018 | ICIP | A Multi-Exposure Image Fusion Based on the Adaptive Weights Reflecting the Relative Pixel Intensity and Global Gradient. | Sang-Hoon Lee, Jae Sung Park, Nam Ik Cho |
| 2017 | ICIP | Co-saliency detection via seed propagation over the integrated graph with a cluster layer. | Insung Hwang, Dong-ju Jeong, Jae Sung Park, Nam Ik Cho |
| 2017 | ICRA | Efficient probabilistic collision detection for non-convex shapes. | Jae Sung Park, Chonhyon Park, Dinesh Manocha |
| 2016 | VCIP | Image co-saliency detection based on clustering and diffusion process. | Insung Hwang, Jae Sung Park, Gu Yong Park, Nam Ik Cho |
| 2016 | WAFR | Fast and Bounded Probabilistic Collision Detection for High-DOF Robots in Dynamic Environments. | Chonhyon Park, Jae Sung Park, Dinesh Manocha |