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CVPR, table vertical spacing
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@@ -52,50 +52,7 @@ <h2>Research</h2>
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</td>
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</tr>
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</tbody></table>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<tr onmouseout="power_stop()" onmouseover="power_start()" bgcolor="#ffffd0">
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<td style="padding:16px;width:20%;vertical-align:middle">
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<div class="one">
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<div class="two" id='power_image'><video width=100% height=100% muted autoplay loop>
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<source src="images/power.mp4" type="video/mp4">
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Your browser does not support the video tag.
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</video></div>
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<img src='images/power.png' width="160">
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</div>
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<script type="text/javascript">
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function power_start() {
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document.getElementById('power_image').style.opacity = "1";
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}
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function power_stop() {
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document.getElementById('power_image').style.opacity = "0";
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}
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power_stop()
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</script>
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</td>
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<td style="padding:8px;width:80%;vertical-align:middle">
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<a href="https://x.com/jon_barron/status/1891918200931061996">
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<span class="papertitle">A Power Transform
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</span>
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</a>
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<br>
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<strong>Jonathan T. Barron</strong>
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<br>
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<em>arXiv</em>, 2025
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<br>
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<a href="https://x.com/jon_barron/status/1891918200931061996">tweet</a>
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/
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<a href="https://arxiv.org/abs/2502.10647">arXiv</a>
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<p></p>
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<p>
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A slight tweak to the Box-Cox power transform generalizes a variety of curves, losses, kernel functions, probability distributions, bump functions, and neural network activation functions.
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</p>
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</td>
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</tr>
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<table style="width:100%;border:0px;border-spacing:0px 10px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<tr onmouseout="r2r_stop()" onmouseover="r2r_start()">
@@ -131,7 +88,7 @@ <h2>Research</h2>
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<a href="https://pratulsrinivasan.github.io/">Pratul P. Srinivasan</a>,
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<a href="https://dorverbin.github.io/">Dor Verbin</a>
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<br>
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<em>arXiv</em>, 2024
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<em>CVPR</em>, 2025
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<br>
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<a href="https://relight-to-reconstruct.github.io/">project page</a>
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/
@@ -182,7 +139,7 @@ <h2>Research</h2>
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<a href="https://cseweb.ucsd.edu/~ravir/">Ravi Ramamoorthi</a>,
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<a href="https://pratulsrinivasan.github.io/">Pratul P. Srinivasan</a>
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<br>
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<em>arXiv</em>, 2024
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<em>CVPR</em>, 2025
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<br>
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<a href="https://alextrevithick.github.io/simvs/">project page</a>
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/
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<strong>Jonathan T. Barron</strong>,
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<a href="https://holynski.org/">Aleksander Holynski</a>
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<br>
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<em>arXiv</em>, 2024
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<em>CVPR</em>, 2025
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<br>
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<a href="https://cat-4d.github.io/">project page</a>
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/
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</tr>
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<tr onmouseout="power_stop()" onmouseover="power_start()" bgcolor="#ffffd0">
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<td style="padding:16px;width:20%;vertical-align:middle">
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<div class="one">
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<div class="two" id='power_image'><video width=100% height=100% muted autoplay loop>
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<source src="images/power.mp4" type="video/mp4">
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Your browser does not support the video tag.
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</video></div>
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<img src='images/power.png' width="160">
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</div>
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<script type="text/javascript">
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function power_start() {
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document.getElementById('power_image').style.opacity = "1";
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}
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function power_stop() {
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document.getElementById('power_image').style.opacity = "0";
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}
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power_stop()
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</script>
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</td>
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<td style="padding:8px;width:80%;vertical-align:middle">
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<a href="https://x.com/jon_barron/status/1891918200931061996">
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<span class="papertitle">A Power Transform
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</span>
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</a>
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<br>
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<strong>Jonathan T. Barron</strong>
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<br>
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<em>arXiv</em>, 2025
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<br>
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<a href="https://x.com/jon_barron/status/1891918200931061996">tweet</a>
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/
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<a href="https://arxiv.org/abs/2502.10647">arXiv</a>
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<p></p>
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<p>
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A slight tweak to the Box-Cox power transform generalizes a variety of curves, losses, kernel functions, probability distributions, bump functions, and neural network activation functions.
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</p>
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</td>
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</tr>
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<tr onmouseout="ever_stop()" onmouseover="ever_start()">
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<td style="padding:16px;width:20%;vertical-align:middle">
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<div class="one">

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