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x.com
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<!--[!--><svg viewbox="0 0 512 512" width="1.2em" height="1.2em" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="twitter"><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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linkedin.com
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<!--[!--><svg viewbox="0 0 448 512" width="1.2em" height="1.2em" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="linkedin"><path d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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github.com
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<!--[!--><svg viewbox="0 0 496 512" width="1.2em" height="1.2em" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="github"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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scholar.google.com
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<!--[!--><svg viewbox="0 0 640 512" width="1.2em" height="1.2em" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="graduation-cap"><path d="M320 32c-8.1 0-16.1 1.4-23.7 4.1L15.8 137.4C6.3 140.9 0 149.9 0 160s6.3 19.1 15.8 22.6l57.9 20.9C57.3 229.3 48 259.8 48 291.9l0 28.1c0 28.4-10.8 57.7-22.3 80.8c-6.5 13-13.9 25.8-22.5 37.6C0 442.7-.9 448.3 .9 453.4s6 8.9 11.2 10.2l64 16c4.2 1.1 8.7 .3 12.4-2s6.3-6.1 7.1-10.4c8.6-42.8 4.3-81.2-2.1-108.7C90.3 344.3 86 329.8 80 316.5l0-24.6c0-30.2 10.2-58.7 27.9-81.5c12.9-15.5 29.6-28 49.2-35.7l157-61.7c8.2-3.2 17.5 .8 20.7 9s-.8 17.5-9 20.7l-157 61.7c-12.4 4.9-23.3 12.4-32.2 21.6l159.6 57.6c7.6 2.7 15.6 4.1 23.7 4.1s16.1-1.4 23.7-4.1L624.2 182.6c9.5-3.4 15.8-12.5 15.8-22.6s-6.3-19.1-15.8-22.6L343.7 36.1C336.1 33.4 328.1 32 320 32zM128 408c0 35.3 86 72 192 72s192-36.7 192-72L496.7 262.6 354.5 314c-11.1 4-22.8 6-34.5 6s-23.5-2-34.5-6L143.3 262.6 128 408z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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cs.wisc.edu
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<!---->University of Wisconsin-Madison Computer Sciences department<!----><span class="tooltip-text svelte-qqj3d6">Top 15 graduate CS program; public research university</span>
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yuhangz.com
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<!---->Dr. Yuhang Zhao<!----><span class="tooltip-text svelte-qqj3d6">Assistant Professor, HCI & Accessibility</span>
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madability.cs.wisc.edu
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<!---->madAbility Lab<!----><span class="tooltip-text svelte-qqj3d6">Accessibility research lab at UW-Madison</span>
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catalog.utexas.edu
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<!---->The University of Texas at Austin<!----><span class="tooltip-text svelte-qqj3d6">Top 10 undergraduate CS program</span>
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undergraduates.utexas.edu
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<!---->Digital Arts & Media<!----><span class="tooltip-text svelte-qqj3d6">Undergraduate intersectional program, 19 credits including capstone project</span>
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immersive.moody.utexas.edu
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<!---->immersive technologies<!----><span class="tooltip-text svelte-qqj3d6">Graduate program, interactive media and storytelling. Inaugural cohort</span>
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amypavel.com
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<!---->Amy Pavel<!----><span class="tooltip-text svelte-qqj3d6">Researcher and Professor, HCI & Accessibility -- Now at UC Berkeley</span>
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ebreilly.com
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<!---->Erin Reilly<!----><span class="tooltip-text svelte-qqj3d6">Professor, Immersive Media and Storytelling</span>
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lucyatkinson.com
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<!---->Lucy Atkinson<!----><span class="tooltip-text svelte-qqj3d6">Professor, Environmental Communication</span>
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cs.wisc.edu
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Read the article
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dl.acm.org
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<div class="project-image-container" style="flex: 0.8; "><!--[--><video autoplay="" loop="" muted="" playsinline="" aria-label="Animated demonstration of custom object detection model finding objects in Rec Room VR" class="project-image"><source src="/assets/images/vrai-demo.webm" type="video/webm"></video><!--]--></div> <div class="project-text" style="flex: 2.2; padding-left: 1rem;"><h3>VRSight: AI-Driven Real-Time Scene Descriptions to Improve Virtual Reality Accessibility for Blind People</h3> <p><i><!----><strong>Daniel Killough</strong>, Justin Feng<strong>*</strong>, Zheng Xue "ZX" Ching<strong>*</strong>, Daniel Wang<strong>*</strong>, Rithvik Dyava<strong>*</strong>, Yapeng Tian, Yuhang Zhao<!----></i></p> <span><!--[--><button style="background-color: var(--accent-color); z-index:9998; color: white; margin-top: 0.5rem; padding: 0.5rem 1rem; border: none; border-radius: 8px; font-size: 0.8rem; cursor: pointer; transition: background-color 0.3s ease; margin-right: 0.5rem;"><!--[--><!---->UIST 2025 Full Paper & Demo<!----><!--]--></button><button style="background-color: var(--gray-red); z-index:9998; color: white; margin-top: 0.5rem; padding: 0.5rem 1rem; border: none; border-radius: 8px; font-size: 0.8rem; cursor: pointer; transition: background-color 0.3s ease; margin-right: 0.5rem;"><!--[--><!---->HuggingFace DISCOVR Dataset<!----><!--]--></button><button style="background-color: var(--accent-color); z-index:9998; color: white; margin-top: 0.5rem; padding: 0.5rem 1rem; border: none; border-radius: 8px; font-size: 0.8rem; cursor: pointer; transition: background-color 0.3s ease; margin-right: 0.5rem;"><!--[--><!---->CHI 2025 Interactivity<!----><!--]--></button><!--]--></span> <p><br>Using state-of-the-art object detection, zero-shot depth estimation, and multimodal large language models to identify virtual objects in social VR applications for blind and low vision people. *Authors 2, 3, 4, & 5 contributed equally to this work.</p></div>
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x.com
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<!--[!--><svg viewbox="0 0 512 512" width="1.5rem" height="1.5rem" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="twitter"><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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linkedin.com
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<!--[!--><svg viewbox="0 0 448 512" width="1.5rem" height="1.5rem" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="linkedin"><path d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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github.com
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<!--[!--><svg viewbox="0 0 496 512" width="1.5rem" height="1.5rem" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="github"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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scholar.google.com
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<!--[!--><svg viewbox="0 0 640 512" width="1.5rem" height="1.5rem" fill="currentColor" aria-hidden="true" class="svelte-1qm6wyi" data-icon="graduation-cap"><path d="M320 32c-8.1 0-16.1 1.4-23.7 4.1L15.8 137.4C6.3 140.9 0 149.9 0 160s6.3 19.1 15.8 22.6l57.9 20.9C57.3 229.3 48 259.8 48 291.9l0 28.1c0 28.4-10.8 57.7-22.3 80.8c-6.5 13-13.9 25.8-22.5 37.6C0 442.7-.9 448.3 .9 453.4s6 8.9 11.2 10.2l64 16c4.2 1.1 8.7 .3 12.4-2s6.3-6.1 7.1-10.4c8.6-42.8 4.3-81.2-2.1-108.7C90.3 344.3 86 329.8 80 316.5l0-24.6c0-30.2 10.2-58.7 27.9-81.5c12.9-15.5 29.6-28 49.2-35.7l157-61.7c8.2-3.2 17.5 .8 20.7 9s-.8 17.5-9 20.7l-157 61.7c-12.4 4.9-23.3 12.4-32.2 21.6l159.6 57.6c7.6 2.7 15.6 4.1 23.7 4.1s16.1-1.4 23.7-4.1L624.2 182.6c9.5-3.4 15.8-12.5 15.8-22.6s-6.3-19.1-15.8-22.6L343.7 36.1C336.1 33.4 328.1 32 320 32zM128 408c0 35.3 86 72 192 72s192-36.7 192-72L496.7 262.6 354.5 314c-11.1 4-22.8 6-34.5 6s-23.5-2-34.5-6L143.3 262.6 128 408z" class="svelte-1qm6wyi"></path></svg><!--]--><!---->
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