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<!DOCTYPE html>
<html lang="en">
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<title>Prof. Saenko's Research Group</title>
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<h2 class="page-header">Projects</h2>
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<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="./caps/index.html">
<img class="img-responsive img-hover" src="figs/DRISE.jpg" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Black-box Explanation of Object Detectors via Saliency Maps</h4>
<p>
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko <br>
<em>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 <b>Oral</b> </em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/abs/2006.03204">Paper</i></a>
<a class="btn btn-primary" href="https://cs-people.bu.edu/vpetsiuk/drise/">Project</i></a>
<a class="btn btn-primary" href="https://www.youtube.com/watch?v=AW063Nju9F4">Video</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="./caps/index.html">
<img class="img-responsive img-hover" src="./caps/Fig1_v6.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Regularizing Action Policies for Smooth Control with Reinforcement Learning</h4>
<p> Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko<br>
<em>IEEE International Conference on Robotics and Automation (ICRA), 2021 </em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/abs/2012.06644">Paper</i></a>
<a class="btn btn-primary" href="./caps/index.html">Project</i></a>
<a class="btn btn-primary" href="./caps/CAPS_VideoPresentation_v3.mp4">Video</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://nvlabs.github.io/COCO-FUNIT/">
<img class="img-responsive img-hover" src="./images/coco-funit.gif" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder</h4>
<p> Kuniaki Saito, Kate Saenko, Ming-Yu Liu<br>
<em>European Conference on Computer Vision (ECCV), 2020 <b>Spotlight</b></em>
</p>
<a class="btn btn-primary" href="https://nvlabs.github.io/COCO-FUNIT/paper.pdf">Paper</i></a>
<a class="btn btn-primary" href="https://nvlabs.github.io/COCO-FUNIT/">Project</i></a>
<a class="btn btn-primary" href="https://youtu.be/X3EB8T8zdKw">Video</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://ai.bu.edu/M3SDA/">
<img class="img-responsive img-hover" src="./images/SMALR.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Learning to Scale Multilingual Representations for Vision-Language Tasks</h4>
<p> Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer<br>
<em>European Conference on Computer Vision (ECCV), 2020 <b>Spotlight</b></em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/abs/2004.04312">Paper</i></a>
<a class="btn btn-primary" href="./smalr/index.html">Project</i></a>
<a class="btn btn-primary" href="">Video</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://ai.bu.edu/M3SDA/">
<img class="img-responsive img-hover" src="./images/DAL.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Domain Agnostic Learning with Disentangled Representations</h4>
<p> Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko<br>
<em>International Conference on Machine Learning (ICML), 2019 <b>Long Oral</b></em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1904.12347.pdf">Paper</i></a>
<a class="btn btn-primary" href="https://github.com/VisionLearningGroup/DAL">Code</i></a>
<a class="btn btn-primary" href="https://cs-people.bu.edu/xpeng/pdfs/DAL_ICML2019_Poster.pdf">Poster</i></a>
<a class="btn btn-primary" href="https://slideslive.com/38917425/transfer-and-multitask-learning">Video</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://ai.bu.edu/selfadv/index.html">
<img class="img-responsive img-hover" src="./images/self-embedding.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4> Adversarial Self-Defense for Cycle-Consistent GANs </h4>
<p> Dina Bashkirova, Ben Usman and Kate Saenko<br>
<em>Conference on Neural Information Processing Systems (NeurIPS), 2019 </em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1908.01517">Paper</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/selfadv/neurips_2019_poster_dbash.pdf">Poster</i></a>
<a class="btn btn-primary" href="https://github.com/dbash/pix2pix_cyclegan_guess_noise">Code</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://ai.bu.edu/puppetgan/">
<img class="img-responsive img-hover" src="./puppetgan/small.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>PuppetGAN: Cross-Domain Image Manipulation by Demonstration</h4>
<p>Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler<br>
<em>IEEE International Conference on Computer Vision (ICCV), 2019 <b>Oral</b></em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1901.10024.pdf">Paper</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/puppetgan/">Project</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://ai.bu.edu/M3SDA/">
<img class="img-responsive img-hover" src="./images/m3sda.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Moment Matching for Multi-Source Domain Adaptation</h4>
<p> Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang<br>
<em>IEEE International Conference on Computer Vision (ICCV), 2019 <b>Oral</b></em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1812.01754.pdf">Paper</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/M3SDA/">Project</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/M3SDA/">Dataset</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/visda-2019/">Chanllenge</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="http://cs-people.bu.edu/keisaito/research/MME2019.htm">
<img class="img-responsive img-hover" src="./images/mme_fig.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Semi-supervised Domain Adaptation via Minimax Entropy</h4>
<p> Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell and Kate Saenko<br>
<em>IEEE International Conference on Computer Vision (ICCV), 2019</em>
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1904.06487.pdf">View Paper</i></a>
<a class="btn btn-primary" href="http://cs-people.bu.edu/keisaito/research/MME2019.html">View Project</i></a>
</div>
</div><br><hr>
<!-- Project -->
<div class="row">
<div class="col-md-5">
<a href="./grovle/index.html">
<img class="img-responsive img-hover" src="figs/embedding_diagram.png" width = "400 px"></a>
</div>
<div class="col-md-7">
<h4> Language Features Matter: Effective Language Representations for Vision-Language Tasks</h4>
<p>Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer<br>
<em>IEEE International Conference on Computer Vision (ICCV), 2019 </em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1908.06327">View Paper</a>
<a class="btn btn-primary" href="./grovle/index.html">View Project</a>
<!--<a class="btn btn-primary" href="">Demo</a>-->
</div>
</div>
<hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://arxiv.org/pdf/1812.04798.pdf">
<img class="img-responsive img-hover" src="./images/swda.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Strong Weak Distribution Alignment for Adaptive Object Detection </h4>
<p>Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko<br>
<em>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019</em>
<!-- <em>European Conference on Computer Vision (ECCV), 2016 </em></p> -->
<!-- <em>In submission</em></p>-->
</p>
<a class="btn btn-primary" href="https://arxiv.org/pdf/1812.04798.pdf">View Paper</i></a>
<a class="btn btn-primary" href="http://cs-people.bu.edu/keisaito/research/CVPR2019.html">View Project</i></a>
</div>
</div><br><hr>
<!-- Project -->
<div class="row">
<div class="col-md-5">
<a href="http://cs-people.bu.edu/vpetsiuk/rise/">
<img class="img-responsive img-hover" src="figs/RISE.png" width = "400 px"></a>
</div>
<div class="col-md-7">
<h4> RISE: Randomized Input Sampling for Explanation of Black-box Models</h4>
<p>Vitali Petsiuk, Abir Das, Kate Saenko<br>
<em>British Machine Vision Conference (BMVC), 2018 <font color="red">oral</font> </em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1806.07421">View Paper</a>
<a class="btn btn-primary" href="http://cs-people.bu.edu/vpetsiuk/rise/">View Project</a>
<a class="btn btn-primary" href="http://cs-people.bu.edu/vpetsiuk/rise/demo.html">Demo</a>
</div>
</div>
<hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://arxiv.org/abs/1806.09755">
<img class="img-responsive img-hover" src="./images/main_1.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Syn2Real: A New Benchmark for Synthetic-to-Real Visual Domain Adaptation</h4>
<p>Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko<br>
<!-- <em>European Conference on Computer Vision (ECCV), 2016 </em></p> -->
<!-- <em>In submission</em></p>-->
</p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1806.09755">View Paper</i></a>
<a class="btn btn-primary" href="http://ai.bu.edu/syn2real/index.html">View Project</i></a>
</div>
</div><br><hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://arxiv.org/abs/1712.00948">
<img class="img-responsive img-hover" src="figs/pendulum_breakdown_v2.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Hierarchical Actor-Critic</h4>
<p>Andrew Levy, Robert Platt and Kate Saenko<br>
<!-- <em>European Conference on Computer Vision (ECCV), 2016 </em></p> -->
<em>In submission</em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1712.00948">View Paper</i></a>
<a class="btn btn-primary" href="https://www.youtube.com/watch?v=m3EYeBpGepo">Demo</i></a>
</div>
</div>
<!-- /.row -->
<br>
<hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://arxiv.org/abs/1804.05113">
<img class="img-responsive img-hover" src="figs/language_retrieval.png" width = "400 px" >
</a>
</div>
<div class="col-md-7">
<h4>Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning</h4>
<p>Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff and Kate Saenko<br>
<!-- <em>European Conference on Computer Vision (ECCV), 2016 </em></p> -->
<em>In submission</em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1804.05113">View Paper</i></a>
<a class="btn btn-primary" href="figs/charades-STA.mp4">Demo</i></a>
</div>
</div>
<!-- /.row -->
<br>
<hr>
<!-- Project -->
<br>
<div class="row">
<div class="col-md-5">
<a href="https://arxiv.org/abs/1802.10250">
<img class="img-responsive img-hover" src="figs/JEDDi-Net.png" width = "500 px" >
</a>
</div>
<div class="col-md-7">
<h4>Joint Event Detection and Description in Continuous Video Streams</h4>
<p>Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal and Kate Saenko<br>
<!-- <em>European Conference on Computer Vision (ECCV), 2016 </em></p> -->
<em>In submission</em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1802.10250">View Paper</i></a>
<a class="btn btn-primary" href="figs/JEDDi-Net_prediction_on_TACoS-MultiLevel_dataset.mp4">Demo</i></a>
</div>
</div>
<!-- /.row -->
<br>
<hr>
<!-- Project -->
<div class="row">
<div class="col-md-5">
<a href="https://openreview.net/pdf?id=HJIoJWZCZ">
<img class="img-responsive img-hover" src="figs/adr_da.png" width = "400 px"></a>
</div>
<div class="col-md-7">
<h4> Adversarial Dropout Reguralization
</h4>
<p>Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada and Kate Saenko<br>
<em>ICLR 2018</em></p>
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<h4> Stable Distribution Alignment Using the Dual of the Adversarial Distance
</h4>
<p> We investigate whether dualizing the logistic adversarial adaptation problem improves the stability of adaptation procedure and explore its connections to Maximum Mean Discrepancy.</p>
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<h4> R-C3D: Region Convolutional 3D Network for Temporal Activity Detection</h4>
<p> An end-to-end deep activity detection model based on 'detection by proposal' strategy.</p>
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<h4> Explaining Captions Generated by Neural Networks</h4>
<p> An "Explainable AI" approach that recovers spatio-temporal locations responsible for the deep captioner's predictions.</p>
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<a href="http://arxiv.org/abs/1511.05234">
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<h4>Ask, Attend and Answer: Exploiting Question-guided Spatial Attention
for Visual Question Answering</h4>
<p>Huijuan Xu and Kate Saenko<br>
<em>European Conference on Computer Vision (ECCV), 2016 </em></p>
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<h4>Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification</h4>
<p>Xingchao Peng, Judy Hoffman, Stella X Yu, Kate Saenko <br>
<em>The 23rd IEEE International Conference on Image Processing, 2016 (ICIP-2016) </em>
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<h4>Correlation Alignment for Unsupervised Domain Adaptation</h4>
<p>Baochen Sun, Jiashi Feng, and Kate Saenko
<br>
<em>The Thirtieth AAAI Conference on Artificial Intelligence, 2016 (AAAI-16) </em>
<br>
<em>Deep CORAL: <font color="red">Honorable Mention Paper</font> at the TASK-CV workshop at ECCV'16</em>
<br>
<em>CORAL: <font color="red">Best Paper Prize</font> at the TASK-CV workshop at ICCV'15</em>
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<a class="btn btn-primary" href="http://arxiv.org/abs/1511.05547">CORAL</i></a>
<a class="btn btn-primary" href="https://arxiv.org/abs/1607.01719">Deep CORAL</i></a>
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<h4>Building ImageNet in One Day (Generating Large Scale Image Datasets from 3D CAD Models)</h4>
<p> Baochen Sun, Xingchao Peng, and Kate Saenko
<br>
<em>CVPR Workshop on The Future of Datasets in Vision, 2015</em> </p>
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<h4> VIDEO to TEXT: Automatic Natural Language Description of Video </h4>
<p> Click below for papers, data and code. </p>
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<a href="http://arxiv.org/abs/1504.02485">
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<h4>Learning Deep Object Detectors from 3D Models </h4>
<p> Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko <br>
<em>International Conference on Computer Vision (ICCV), 2015</em></p>
<a class="btn btn-primary" href="https://arxiv.org/abs/1412.7122">ICCV15 Paper</i></a>
<a class="btn btn-primary" href="http://arxiv.org/abs/1504.02485">ICLR15 Abstract</i></a>
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<h4><bm>From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains</bm></h4>
<p> Baochen Sun and Kate Saenko <br>
<em>British Machine Vision Conference, 2014</em></p>
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<h4>Probabilistic Color De-rendering</h4>
<p> Y. Xiong, K. Saenko, T. Zickler, T. Darrell <br>
</p>
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<a class="btn btn-primary" href="http://ieeexplore.ieee.org/document/6247696/">CVPR12 Paper</i></a>
<a class="btn btn-primary" href="http://arxiv.org/abs/1311.6887">PAMI14 Paper</i></a>
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<h4>Domain Adaptation for Object Recognition </h4>
<p> Early work on visual domain adaptation for object recognition. View project for details, papers, code and datasets. </p>
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