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Yezhou Yang

Arizona State University

Semantically Distributed Robust Optimization for Vision-and-Language Inference


Oct 14, 2021
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang

* preprint; code available at https://github.com/ASU-APG/VLI_SDRO 

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Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns


Sep 16, 2021
Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren

* 7 pages, 4 figures 

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Weakly Supervised Relative Spatial Reasoning for Visual Question Answering


Sep 04, 2021
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

* Accepted to ICCV 2021. PaperId : ICCV2021-10857 Copyright transferred to IEEE ICCV. DOI will be updated later 

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SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis


Jun 02, 2021
Joshua Feinglass, Yezhou Yang


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CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images


Apr 13, 2021
Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral

* 16 pages, 11 figures, Accepted as a Long Paper at NAACL-HLT 2021 

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Compressing Visual-linguistic Model via Knowledge Distillation


Apr 05, 2021
Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu


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CAROM -- Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures


Apr 02, 2021
Duo Lu, Varun C Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang

* 7 pages, 9 figures, accepted by ICRA 2021 

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Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph


Mar 30, 2021
Xin Ye, Yezhou Yang

* CVPR2021 

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SEED: Self-supervised Distillation For Visual Representation


Jan 12, 2021
Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu

* Accepted as a conference paper at ICLR 2021 

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Self-Supervised VQA: Answering Visual Questions using Images and Captions


Dec 04, 2020
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral


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Attribute-Guided Adversarial Training for Robustness to Natural Perturbations


Dec 03, 2020
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

* Accepted to AAAI 2021. Preprint 

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Decentralized Attribution of Generative Models


Oct 27, 2020
Changhoon Kim, Yi Ren, Yezhou Yang

* 16 pages, 8 figures 

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Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling


Oct 16, 2020
Xin Ye, Yezhou Yang


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MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering


Sep 18, 2020
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

* Accepted to EMNLP 2020, Long Papers 

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Low to High Dimensional Modality Hallucination using Aggregated Fields of View


Jul 13, 2020
Kausic Gunasekar, Qiang Qiu, Yezhou Yang

* IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1983-1990, April 2020 

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Weak Supervision and Referring Attention for Temporal-Textual Association Learning


Jun 27, 2020
Zhiyuan Fang, Shu Kong, Zhe Wang, Charless Fowlkes, Yezhou Yang

* 12 pages, 6 figures 

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Resisting the Distracting-factors in Pedestrian Detection


May 15, 2020
Zhe Wang, Jun Wang, Yezhou Yang

* 17 pages, 5 figures 

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ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language


May 15, 2020
Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang

* 18 pages, 6 figures 

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Learning hierarchical behavior and motion planning for autonomous driving


May 08, 2020
Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong


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Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge


May 01, 2020
Shailaja Sampat, Yezhou Yang, Chitta Baral

* 12 pages, 6 figures 

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memeBot: Towards Automatic Image Meme Generation


Apr 30, 2020
Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang


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Enabling Incremental Knowledge Transfer for Object Detection at the Edge


Apr 13, 2020
Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma Vrudhula, Yezhou Yang

* 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 

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Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning


Mar 17, 2020
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang


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From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)


Feb 26, 2020
Xin Ye, Yezhou Yang


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VQA-LOL: Visual Question Answering under the Lens of Logic


Feb 19, 2020
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang


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Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient


Oct 21, 2019
Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang


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A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA


Sep 05, 2019
Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang

* 2019 IEEE High Performance Extreme Computing Conference 

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