Video Captioning via Sentence Augmentation and Spatio-Temporal Attention. - Tseng-Hung Chen; Kuo-Hao Zeng; Wan Ting Hsu; Min Sun 001 (ACCV Workshops (1), 2016)

Title Generation for User Generated Videos. - Kuo-Hao Zeng; Tseng-Hung Chen; Juan Carlos Niebles; Min Sun 001 (ECCV (2), 2016)

Semantic highlight retrieval. - Kuo-Hao Zeng; Yen-Chen Lin; Ali Farhadi; Min Sun 001 (ICIP, 2016)

Leveraging Video Descriptions to Learn Video Question Answering. - Kuo-Hao Zeng; Tseng-Hung Chen; Ching-Yao Chuang; Yuan-Hong Liao; Juan Carlos Niebles; Min Sun 001 (AAAI, 2017)

Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization. - Kuo-Hao Zeng; Shih-Han Chou; Fu-Hsiang Chan; Juan Carlos Niebles; Min Sun 001 (CVPR, 2017)

Visual Forecasting by Imitating Dynamics in Natural Sequences. - Kuo-Hao Zeng; William B. Shen; De-An Huang; Min Sun 001; Juan Carlos Niebles (ICCV, 2017)

Semantic Highlight Retrieval and Term Prediction. - Min Sun 001; Kuo-Hao Zeng; Yen-Chen Lin; Ali Farhadi (IEEE Trans. Image Process., 2017)

Self-View Grounding Given a Narrated 360° Video. - Shih-Han Chou; Yi-Chun Chen; Kuo-Hao Zeng; Hou-Ning Hu; Jianlong Fu; Min Sun 001 (AAAI, 2018)

Omnidirectional CNN for Visual Place Recognition and Navigation. - Tsun-Hsuan Wang; Hung-Jui Huang; Juan-Ting Lin; Chan-Wei Hu; Kuo-Hao Zeng; Min Sun 001 (ICRA, 2018)

Visual Reaction: Learning to Play Catch With Your Drone. - Kuo-Hao Zeng; Roozbeh Mottaghi; Luca Weihs; Ali Farhadi (CVPR, 2020)

Style Example-Guided Text Generation using Generative Adversarial Transformers. - Kuo-Hao Zeng; Mohammad Shoeybi; Ming-Yu Liu 001 (CoRR, 2020)

AllenAct: A Framework for Embodied AI Research. - Luca Weihs; Jordi Salvador; Klemen Kotar; Unnat Jain; Kuo-Hao Zeng; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2020)

Pushing It Out of the Way: Interactive Visual Navigation. - Kuo-Hao Zeng; Luca Weihs; Ali Farhadi; Roozbeh Mottaghi (CVPR, 2021)

Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. - Kuo-Hao Zeng; Luca Weihs; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CoRR, 2023)

Visual Forecasting for Interactive Embodied Agent - Kuo-Hao Zeng (2023)

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. - Kuo-Hao Zeng; Zichen Zhang 016; Kiana Ehsani; Rose Hendrix; Jordi Salvador; Alvaro Herrasti; Ross B. Girshick; Aniruddha Kembhavi; Luca Weihs (CoRL, 2024)

SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CVPR, 2024)

Seeing the Unseen: Visual Common Sense for Semantic Placement. - Ram Ramrakhya; Aniruddha Kembhavi; Dhruv Batra; Zsolt Kira; Kuo-Hao Zeng; Luca Weihs (CVPR, 2024)

Selective Visual Representations Improve Convergence and Generalization for Embodied AI. - Ainaz Eftekhar; Kuo-Hao Zeng; Jiafei Duan; Ali Farhadi; Aniruddha Kembhavi; Ranjay Krishna (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. - Jiaheng Hu; Rose Hendrix; Ali Farhadi; Aniruddha Kembhavi; Roberto Martin Martin; Peter Stone 001; Kuo-Hao Zeng; Kiana Ehsani (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

SAT: Spatial Aptitude Training for Multimodal Language Models. - Arijit Ray; Jiafei Duan; Reuben Tan; Dina Bashkirova; Rose Hendrix; Kiana Ehsani; Aniruddha Kembhavi; Bryan A. Plummer; Ranjay Krishna; Kuo-Hao Zeng; Kate Saenko (CoRR, 2024)

The One RING: a Robotic Indoor Navigation Generalist. - Ainaz Eftekhar; Luca Weihs; Rose Hendrix; Ege Caglar; Jordi Salvador; Alvaro Herrasti; Winson Han; Eli VanderBilt; Aniruddha Kembhavi; Ali Farhadi; Ranjay Krishna; Kiana Ehsani; et al. (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation. - Abhay Deshpande; Yuquan Deng; Arijit Ray; Jordi Salvador; Winson Han; Jiafei Duan; Kuo-Hao Zeng; Yuke Zhu; Ranjay Krishna; Rose Hendrix (CoRR, 2025)

Convergent Functions, Divergent Forms. - Hyeonseong Jeon; Ainaz Eftekhar; Aaron Walsman; Kuo-Hao Zeng; Ali Farhadi; Ranjay Krishna (CoRR, 2025)