Ronghang Hu

According to our database, Ronghang Hu authored at least 29 papers between 2014 and 2023.

Collaborative distances:

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

2023

UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding.

Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.

Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie

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

Scaling Language-Image Pre-Training via Masking.

Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He

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

2022

Exploring Long-Sequence Masked Autoencoders.

Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen

CoRR, 2022

FLAVA: A Foundational Language And Vision Alignment Model.

Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela

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

2021

Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer.

Ronghang Hu, Amanpreet Singh

CoRR, 2021

UniT: Multimodal Multitask Learning with a Unified Transformer.

Ronghang Hu, Amanpreet Singh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image.

Ronghang Hu, Nikhila Ravi, Alexander C. Berg, Deepak Pathak

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Structured Models for Vision-and-Language Reasoning.

Ronghang Hu

PhD thesis, 2020

Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image.

Ronghang Hu, Deepak Pathak

CoRR, 2020

TextCaps: A Dataset for Image Captioning with Reading Comprehension.

Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh

Proceedings of the Computer Vision - ECCV 2020, 2020

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA.

Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Language-Conditioned Graph Networks for Relational Reasoning.

Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.

Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Generating Counterfactual Explanations with Natural Language.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2018

Speaker-Follower Models for Vision-and-Language Navigation.

Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Explainable Neural Computation via Stack Neural Module Networks.

Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko

Proceedings of the Computer Vision - ECCV 2018, 2018

Grounding Visual Explanations.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning to Segment Every Thing.

Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Grounding Visual Explanations (Extended Abstract).

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2017

Learning to Reason: End-to-End Module Networks for Visual Question Answering.

Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

Proceedings of the IEEE International Conference on Computer Vision, 2017

Modeling Relationships in Referential Expressions with Compositional Modular Networks.

Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions.

Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell

CoRR, 2016

Grounding of Textual Phrases in Images by Reconstruction.

Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2016, 2016

Segmentation from Natural Language Expressions.

Ronghang Hu, Marcus Rohrbach, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016, 2016

Natural Language Object Retrieval.

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Spatial Semantic Regularisation for Large Scale Object Detection.

Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

LSDA: Large Scale Detection through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Robust Head-Shoulder Detection Using a Two-Stage Cascade Framework.

Ronghang Hu, Ruiping Wang, Shiguang Shan, Xilin Chen

Proceedings of the 22nd International Conference on Pattern Recognition, 2014