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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
<br>
<span style="font-size:18px; color:gray; font-weight: 50" align=center>at CVPR 2016, June 26, Las Vegas, USA</span></p>
<p style="font-size:20px; color:black; font-weight: 50" align=center><a href="vqa_v1_workshop.html" style="padding:13px">Home</a> <a href="vqa_v1_workshop.html#program" style="padding:13px">Program</a> <a href="vqa_v1_workshop.html#sub" style="padding:13px">Submission</a><a href="vqa_v1_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>ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering</b>
<br> Kan Chen, Jiang Wang, Ram Nevatia
<br>
<br>
<b>Utilizing an Event Ontology for Human Activity Segmentation</b>
<br> David Tahmoush, Claire Bonial
<br>
<br>
<b>Temporal-Spatial Memory for Visual Question Answering</b>
<br> Aiwen Jiang, Fang Wang, Fatih Porikli, Yi Li
<br>
<br>
<b>Towards Automatic Generation of Question Answer Pairs from Images</b>
<br> Issey Masuda Mora, Santiago Pascual de la Puente, Xavier Giro-i-Nieto
<br>
<br>
<b>Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering</b>
<br> Huijuan Xu, Kate Saenko
<br>
<br>
<b>Highway Networks for Visual Question Answering</b>
<br> Aaditya Prakash, James Storer
<br>
<br>
<b>Human Attention in Visual Question Answering</b>
<br> Abhishek Das*, Harsh Agrawal*, Devi Parikh, Dhruv Batra
<br>
<br>
<b>Towards Transparent AI Systems: Interpreting Visual Question Answering Models</b>
<br> Yash Goyal, Devi Parikh, Dhruv Batra
<br>
<br>
<b>Answer-Type Prediction for Visual Question Answering</b>
<br> Kushal Kafle, Christopher Kanan
<br>
<br>
<b>Explicit Reasoning for Visual Question Answering with Knowledge Base and Supporting Facts</b>
<br> Peng Wang*, Qi Wu*, Chunhua Shen, Anthony Dick, Anton van den Hengel
<br>
<br>
<b>Multimodal Residual Learning for Visual Question-Answering</b>
<br> Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang
<br>
<br>
<b>Neural Module Networks</b>
<br> Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
<br>
<br>
<b>Where To Look: Focus Regions for Visual Question Answering</b>
<br> Kevin J. Shih, Saurabh Singh, Derek Hoiem
<br>
<br>
<b>Stacked Attention Networks for Image Question Answering</b>
<br> Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola
<br>
<br>
<b>Simple Baseline for Visual Question Answering</b>
<br> Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
<br>
<br>
<b>Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation</b>
<br> Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
<br>
<br>
<b>Hierarchical Question-Image Co-Attention for Visual Question Answering</b>
<br> Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
<br>
<br>
<b>Towards Visually Grounded Dialogue: Visual Interrogation</b>
<br> Khushi Gupta, Avi Singh, Harsh Agrawal, Jiasen Lu, Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra
<br>
<br>
<b>Yin and Yang: Balancing and Answering Binary Visual Questions</b>
<br> Peng Zhang* Yash Goyal* Douglas Summers-Stay Dhruv Batra Devi Parikh
<br>
<br>
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