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A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

Feb 17, 2021
Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao


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A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus

Nov 24, 2020
Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha


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Learning the Best Pooling Strategy for Visual Semantic Embedding

Nov 09, 2020
Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang


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Learning to Represent Image and Text with Denotation Graph

Oct 06, 2020
Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha

* to appear at EMNLP 2020 

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Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Jul 18, 2020
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun

* Source Code: https://github.com/firehose-dataset/congrad 

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BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps

Jun 14, 2020
Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha

* Accepted by ACL 2020 

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Visual Storytelling via Predicting Anchor Word Embeddings in the Stories

Jan 13, 2020
Bowen Zhang, Hexiang Hu, Fei Sha

* Accepted by ICCV19 CLVL workshop: 3rd Workshop on Closing the Loop Between Vision and Language 

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Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation

Oct 30, 2019
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim


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Learning Classifier Synthesis for Generalized Few-Shot Learning

Jun 07, 2019
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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Synthesized Policies for Transfer and Adaptation across Tasks and Environments

Apr 05, 2019
Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

* presented at NeurIPS 2019 as a Spotlight 

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Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding

Jan 19, 2019
Hexiang Hu, Ishan Misra, Laurens van der Maaten


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Toward Multimodal Model-Agnostic Meta-Learning

Dec 18, 2018
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim


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Learning Embedding Adaptation for Few-Shot Learning

Dec 16, 2018
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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Engaging Image Captioning Via Personality

Oct 25, 2018
Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston


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Cross-Modal and Hierarchical Modeling of Video and Text

Oct 16, 2018
Bowen Zhang, Hexiang Hu, Fei Sha

* Accepted by ECCV 2018 

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Multi-Task Learning for Sequence Tagging: An Empirical Study

Aug 13, 2018
Soravit Changpinyo, Hexiang Hu, Fei Sha

* In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) 

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Cross-Dataset Adaptation for Visual Question Answering

Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted at CVPR 2018 

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Learning Answer Embeddings for Visual Question Answering

Jun 10, 2018
Hexiang Hu, Wei-Lun Chao, Fei Sha

* Accepted at CVPR 2018 

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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets

Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted for Oral Presentation at NAACL-HLT 2018 

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Compressed Video Action Recognition

Mar 29, 2018
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl

* CVPR 2018 (Selected for spotlight presentation) 

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Structured Label Inference for Visual Understanding

Feb 18, 2018
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori


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FastMask: Segment Multi-scale Object Candidates in One Shot

Apr 11, 2017
Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha

* Accepted as CVPR 2017 

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LabelBank: Revisiting Global Perspectives for Semantic Segmentation

Mar 29, 2017
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori

* Pre-prints 

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Recalling Holistic Information for Semantic Segmentation

Nov 24, 2016
Hexiang Hu, Zhiwei Deng, Guang-tong Zhou, Fei Sha, Greg Mori


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Learning Structured Inference Neural Networks with Label Relations

Oct 24, 2016
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori

* Conference on Computer Vision and Pattern Recognition(CVPR) 2016 

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Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition

Apr 12, 2016
Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori

* CVPR 2016 

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