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<div class="hero-lead"><p>Vision and Learning Lab is led by Dr. Li Cheng at the Department of Electrical and Computer Engineering, University of Alberta. Our research centers around computer vision, machine learning, visual behavior analysis, biomedical image anlysis, and multimedia signal processing.</p>
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<a href="/post/shuang_tpami2022/" >Our paper "Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence!</a>
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<a href="/post/jingjing_neurips2021/" >Our paper "Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection" is accepted by NeurIPS 2021</a>
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<a href="/post/ji_pr_2021/" >Our paper "3D pose estimation and future motion prediction from 2D images" is accepted by Pattern Recogntion</a>
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<a href="/post/mojtaba_bmvc2021/" >Our paper "CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search" is accepted by BMVC 2021</a>
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<a href="/post/mahdiar_bmvc2021/" >Our paper "Enhancing Human Motion Assessment by Self-supervised Representation Learning" is accepted by BMVC 2021</a>
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<span>Zhenguang Liu</span>, <span><a href="/author/shuang-wu/">Shuang Wu</a></span>, <span>Shuyuan Jin</span>, <span>Qi Liu</span>, <span>Shouling Ji</span>, <span>Shijian Lu</span>, <span><a href="/author/li-cheng/">Li Cheng</a></span>
</span>
(2022).
<a href="/publication/shuang_investigating_2022/">Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction</a>.
TPAMI.
<p>
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PDF
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Cite
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Project
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<span><a href="/author/jingjing-li/">Jingjing Li</a></span>, <span><a href="/author/wei-ji/">Wei Ji</a></span>, <span>Qi Bi</span>, <span>Cheng Yan</span>, <span>Miao Zhang</span>, <span>Yongri Piao</span>, <span>Huchuan Lu</span>, <span><a href="/author/li-cheng/">Li Cheng</a></span>
</span>