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<!DOCTYPE html>
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<title>VQA: Visual Question Answering</title>
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<p style="font-size:30px; color:black; font-weight: 50" align=center>VQA Challenge Workshop
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<span style="font-size:20px; color:black; font-weight: 400" align=center>Location: <b>Room 301AB, Hawaii Convention Center</b></span>
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<span style="font-size:18px; color:gray; font-weight: 50" align=center>at CVPR 2017, July 26, Honolulu, Hawaii, USA</span></p>
<p style="font-size:20px; color:black; font-weight: 50" align=center><a href="workshop.html" style="padding:13px">Home</a> <a href="workshop.html#program" style="padding:13px">Program</a> <a href="workshop.html#sub" style="padding:13px">Submission</a><a href="abstracts.html" style="padding:13px">Accepted Abstracts</a>
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<h1 style="font-size:30px; color:grey; font-weight: 200">Accepted Abstracts</h1>
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<b>An Analysis of Visual Question Answering Algorithms</b>
<br> Kushal Kafle, Christopher Kanan
<br>
<br>
<b>What's in a Question: Using Visual Questions as a Form of Supervision</b>
<br> Siddha Ganju, Olga Russakovsky, Abhinav Gupta
<br>
<br>
<b>Reasoning about Fine-grained Attribute Phrases using Reference Games</b>
<br> Jong-Chyi Su*, Chenyun Wu*, Huaizu Jiang, Subhransu Maji
<br>
<br>
<b>Visual Discriminative Question Generation</b>
<br> Yining Li, Chen Huang, Chen Change Loy, Xiaoou Tang
<br>
<br>
<b>Zero-Shot Visual Question Answering</b>
<br> Damien Teney, Anton van den Hengel
<br>
<br>
<b>MUTAN 2.0: Multimodal Tucker Fusion for Visual Question Answering</b>
<br> Hedi Ben-younes*, Remi Cadene*, Matthieu Cord, Nicolas Thome
<br>
<br>
<b>End-to-end optimization of goal-driven and visually grounded dialogue systems</b>
<br> Florian Strub, Harm de Vries, Jeremie Mary, Bilal Piot, Aaron Courville, Olivier Pietquin
<br>
<br>
<b>Visual Reference Resolution using Attention Memory for Visual Dialog</b>
<br> Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, Leonid Sigal
<br>
<br>
<b>FVQA: Fact-based Visual Question Answering</b>
<br> Peng Wang*, Qi Wu*, Chunhua Shen, Anthony Dick, Anton van den Hengel
<br>
<br>
<b>The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions</b>
<br> Peng Wang*, Qi Wu*, Chunhua Shen, Anton van den Hengel
<br>
<br>
<b>MemexQA: A Personal Question Answering Task</b>
<br> Lu Jiang, Liangliang Cao, KwakYannis Kalantidis, Sachin Farfade, Junwei Liang, Alexander Hauptmann
<br>
<br>
<b>TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering</b>
<br> Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim
<br>
<br>
<b>Vision and Reasoning base Image Riddles Answering through Probabilistic Soft Logic</b>
<br> Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos
<br>
<br>
<b>Towards Good Practices for Visual Question Answering</b>
<br> Zhe Wang, Xiaoyi Liu, Liangjian Chen, Limin Wang, Yu Qiao, Xiaohui Xie, Charless Fowlkes
<br>
<br>
<b>Compact Tensor Pooling for Visual Question Answering</b>
<br> Yang Shi, Tommaso Furlanello, Anima Anandkumar
<br>
<br>
<b>Attention Memory for Locating an Object through Visual Dialogue</b>
<br> Cheolho Han*, Yujung Heo*, Wooyoung Kang, Jaehyun Jun, Byoung-Tak Zhang
<br>
<br>
<b>VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation</b>
<br> Chuang Gan, Haoxiang Li, Chen Sun, Boqing Gong
<br>
<br>
<b>Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering</b>
<br> Zhou Yu, Jun Yu, Chenchao Xiang, Dalu Guo, Jianping Fan, Dacheng Tao
<br>
<br>
<b>VQABQ: Visual Question Answering by Basic Questions</b>
<br> Jia-Hong Huang, Modar Alfadly, Bernard Ghanem
<br>
<br>
<b>Hybrid Memory Enabled Neural Turing Machine for Visual Question Answering</b>
<br> Jun Zhang, Peng Xia, Yingxuan Zhu, Lifeng Liu, Xiaotian Yin, Jian Li
<br>
<br>
<b>On the Importance of Location for VQA: Stacked Twin Attention Networks</b>
<br> Haoqi Fan, Jiatong Zhou
<br>
<br>
<b>Creativity: Generating Diverse Questions using Variational Autoencoders</b>
<br> Unnat Jain*, Ziyu Zhang*, Alexander Schwing
<br>
<br>
<b>A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models</b>
<br> Ilija Ilievski, Jiashi Feng
<br>
<br>
<b> Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering</b>
<br> Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
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