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Reasoning about Actions over Visual and Linguistic Modalities: A Survey


Jul 15, 2022
Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral

* 7 pages, 3 figures; This survey will be periodically updated with the latest works in this area 

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Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic


Jun 29, 2022
Mohammad Hekmatnejad, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos

* 27 pages, 12 figures, 4 tables, 5 algorithms, 3 appendixes 

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Improving Diversity with Adversarially Learned Transformations for Domain Generalization


Jun 15, 2022
Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang

* Code for ALT is available at https://github.com/tejas-gokhale/ALT 

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Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos


Apr 28, 2022
Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang


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SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks


Apr 27, 2022
Sheng Cheng, Yi Ren, Yezhou Yang


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To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo


Mar 30, 2022
Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

* Accepted at ACL 2022 (Short Paper) 

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Attributable Watermarking of Speech Generative Models


Feb 17, 2022
Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren

* Accepted to International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 

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Injecting Semantic Concepts into End-to-End Image Captioning


Dec 09, 2021
Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu


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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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