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<b style="color:rgb(85, 85, 85)">
Dr. <a href="https://vztu.github.io/">Zhengzhong Tu</a> is currently an Assistant Professor in the <a href="https://engineering.tamu.edu/cse/index.html">Department of Computer Science and Engineering</a> at <a href="https://www.tamu.edu/">Texas A&M University</a>, College Station, TX, USA.<br>
He is the director of the Trustworthy, Autonomous, Human-Centered, and Embodied Intelligence Group <a href="https://taco-group.github.io">(TACO-Group)</a> at TAMU.
<br> Contact: tzz [AT] tamu [.] edu
</b>
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<i>
<!-- If you are here to seek "TL;DR"...</i></b>-->
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<!-- <li><b style="color:rgb(71, 71, 71)">Question</b>: what should I read, if I just want to have a very quick glance at what ScopeX lab is currently focusing on? </li>-->
<li>
<!-- <b style="color:rgb(85, 85, 85)">Answer</b>: -->
Prof. Tu has broad research interests spanning from trustworthy machine learning, multimodal and generative AI, autonomous driving systems, to embodied AI, machine learning system. We pick five papers that represent our recent flavors. The list will change over time:
<ul>
<li><a href="https://arxiv.org/abs/2312.11595">[Language-driven Image Editing, TIP, ECCV 2024]</a></li>
<li><a href="https://arxiv.org/abs/2310.01407">[Conditional Diffusion Distillation, CoDi, CVPR 2024]</a></li>
<li><a href="https://arxiv.org/abs/2404.04804">[Robust Vision for Autonomous Driving, LightDiff, CVPR 2024]</a></li>
<li><a href="https://arxiv.org/abs/2203.10638">[V2X Cooperative Perception, V2X-ViT, ECCV 2022]</a></li>
<li><a href="https://arxiv.org/abs/2204.01697">[Efficient Transformer Design, MaxViT, ECCV 2022]</a></li>
</ul>
</li>
Please check the <a href="./research.html">Research</a> tab for details of research in our lab.
<!-- <li><b style="color:rgb(71, 71, 71)">[New]</b>: Since April 2023, a group of VITA students volunteer to run a group twitter page together (opinions on students' own): <a href="https://twitter.com/VITAGroupUT?ref_src=twsrc%5Etfw" class="twitter-follow-button" data-show-count="false">Follow @VITAGroupUT</a> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8" data-size="large"></script> <p> -->
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<h5>
<strong style="color: red;">
🚧
I am looking for highly motivated students, in terms of RA / TA / internship / visiting students.
Interested candidates are strongly encouraged to contact me by email: tzzhire[AT]gmail[.]com or fill out the <a href="https://tinyurl.com/zhvvm85y">Google forms</a>.
Check out more detailed <a href="https://vztu.github.io/" style="color:rgb(200, 0, 0)">here</a>.
</strong>
</h5>
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<!-- <h5><strong><em><a href="./prospective_students.html" style="color:rgb(140, 29, 64)">Multiple-->
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<h2>PI & Research Interest</h2>
</div>
<p>Dr. Tu received his Ph.D. degree under the supervision of Prof. <a
href="https://www.ece.utexas.edu/people/faculty/alan-bovik">Alan C. Bovik</a> in Electrical and
Computer Engineering from <a href="https://www.utexas.edu/">The University of Texas at
Austin</a>, Austin, TX, USA, in 2022 Summer. Afterward, he worked at Google Research on computational imaging and generative models.
He has been involved in multiple product through interning at Google Research, Pixel Camera, and YouTube team.
Dr. Tu has authored 30+ peer-reviewed international journal/conference papers in related areas. He has received Best Paper Nomination Award at CVPR 2022, won the First Place at the AI4Streaming Video
Quality Challenge held at CVPR 2024, been acknowledged with highlights in Google Research's Annual
Blog, and featuring in Google I/O media outlets. He served as technical reviewers for over 18+ international journals/conferences, such as IEEE
TPAMI, IJCV, TIP, TCSVT, TMM, TCI, TSTSP, RA-Letters, IROS, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, WACV,
ICIP, VCIP, ISCAS, etc.
</p>
Our group at Texas A&M University strives to explore cutting-edge generative and multimodal AI technologies, including
core data generation, modeling, and alignment, as well as their domain-specific adaptations on real-world applications, such as
autonomous vehicles/mobility, robotics, and healthcare.
<!-- We group our research themes into the above categories (note that they may or-->
<!-- may not be adjusted according to our ongoing research activities):-->
<!-- <h4>Theme 1: Multimodal Large Language Models</h4>-->
<!-- -->
<!-- <h4>Theme 2: Autonomous Driving</h4>-->
<!-- <h4>Theme 3: Perceptual Modeling</h4>-->
<div class="section-title" style="margin-bottom:20px">
<h2>News</h2>
</div>
<div class="trend-entry d-flex">
<div class="trend-contents">
<b style="color:rgb(40, 40, 40)">[Jan 2025]</b>
<ul style="margin-bottom:5px">
<li>We welcome Xiangbo Gao to join the TACO group!</li>
<li>2x ICLR'2025 accepted. Cheers!</li>
<ul style="margin-bottom:5px">
<li>
<a href="https://4k4dgen.github.io/">
4k4dgen: Panoramic 4d generation at 4k resolution
</a>
</li><li>
<a href="https://openreview.net/forum?id=8NdNniulYE">
STAMP: Scalable Task- And Model-agnostic Collaborative Perception
</a>
</li>
</ul>
<li>2x WACV'2025 workshop accepted. Cheers!</li>
<ul style="margin-bottom:5px">
<li>
<a href="https://github.com/taco-group/OpenEMMA">
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
</a>
</li>
<li>
<a href="https://arxiv.org/abs/2501.05631">
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
</a>
</li>
</ul>
<li>We're grateful to receive the TAMU catapult Seed Grant (FY2025)!</li>
<li>Dr. Tu attended Transportation Research Board (TRB) Annual Meeting at Washing D.C.</li>
</ul>
<b style="color:rgb(40, 40, 40)">[Dec 2024]</b>
<ul style="margin-bottom:5px">
<li>Dr. Tu will serve as an Area Chair for ICCV2025, at your service! </li>
<li>We're grateful to receive the TAMIDS Seed Program for AI, Computing, and Data Science (SPAICD) award!</li>
</ul>
<b style="color:rgb(40, 40, 40)">[Nov 2024]</b>
<ul style="margin-bottom:5px">
<li>1x IEEE TIP accepted. Cheers!</li>
<ul style="margin-bottom:5px">
<li>
<a href="">
MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers.
</a>
</li>
</ul>
</ul>
<ul style="margin-bottom:5px">
<li>1x TMLR accepted. Cheers!</li>
<ul style="margin-bottom:5px">
<li>
<a href="">
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
</a>
</li>
</ul>
</ul>
<b style="color:rgb(40, 40, 40)">[Oct 2024]</b>
<ul style="margin-bottom:5px">
<li>Dr. Tu visited DARPA DSO Day, MIT, and Boston University.</li>
<li>We're grateful to receive the eBay research award!</li>
</ul>
<b style="color:rgb(40, 40, 40)">[Sep 2024]</b>
<ul style="margin-bottom:5px">
<li>We welcome Xing Shuo and Renjie Li to join TACO group!
<li>We're grateful to receive the Snap research award!</li>
<li>We're grateful to receive the Topaz Labs research award!</li>
<li>1x IEEE TPAMI accepted. Cheers!
<ul style="margin-bottom:5px">
<li>
<a href="">
V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception
</a>
</li>
</ul>
</li>
<li>1x NeurIPS'24 (DB& Track) accepted. Cheers!
<ul style="margin-bottom:5px">
<li>
<a href="">
OpenCDA-∞: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
</a>
</li>
</ul>
</li>
<li>Dr. Tu, with his crew, visited Rice CS and gave an invited talk on diffusion models and generative AI.
<ul style="margin-bottom:5px">
<li>
<a href="https://www.linkedin.com/feed/update/urn:li:activity:7241921629151248384/">
Democratizing Diffusion Models for Controllable & Efficient Computational Imaging
</a>
</li>
</ul>
</li>
<li>Dr. Tu gave an invited talk at SPS Webinar Series.
<ul style="margin-bottom:5px">
<li>
<a href="https://signalprocessingsociety.org/blog/sps-webinar-rapid-accurate-and-explainable-video-quality-assessment-user-generated-content">
SPS Webinar: Rapid, Accurate, and Explainable Video Quality Assessment for User-Generated Content
</a>
</li>
</ul>
</li>
</ul>
<b style="color:rgb(40, 40, 40)">[Aug 2024]</b>
<ul style="margin-bottom:5px">
<li>We won the 3rd place in the <a href="https://challenges.videoprocessing.ai/challenges/compressed-video-quality-assessment.html">AIM 2024 Challenge</a> (Compressed Video Quality Assessment Track)
<ul style="margin-bottom:5px">
<li>
<a href="https://arxiv.org/abs/2408.11982">
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
</a>
</li>
</ul>
</li>
<li>
Dr. Tu visited NYU, Columbia University.
</li>
</ul>
<b style="color:rgb(40, 40, 40)">[July 2024]</b>
<ul style="margin-bottom:5px">
<li>
Dr. Tu was invited to an AI coffee chat by Dr. Zhang from <a ref="https://www.linkedin.com/posts/activity-7222707319439081472-vYxM/?utm_source=share&utm_medium=member_desktop">Expresso Labs</a>
</li>
<li>Our book chapter about Quality Assessment has been published.
<ul style="margin-bottom:5px">
<li>
<a href="https://books.google.com/books?hl=en&lr=&id=s6cLEQAAQBAJ&oi=fnd&pg=PA239&dq=info:QxaD8HQM4Q0J:scholar.google.com&ots=pt7G_1vl1y&sig=cCVtRNT9WnwA1auJO-RxAtflp8E#v=onepage&q&f=false">
"Quality Assessment in Media and Entertainment: Challenges and Trends" in Computer Vision: Challenges, Trends, and Opportunities
</a>
</li>
</ul>
</li>
<li>1x ECCV'24 accepted. Cheers!
<ul style="margin-bottom:5px">
<li>
<a href="https://arxiv.org/abs/2312.11595">
SPIRE: Semantic Prompt-Driven Image Restoration
</a>
</li>
</ul>
</li>
<li>
Dr. Tu gave a talk on COVER (<a href="https://docs.google.com/presentation/d/18AcozoBEGj1l6qMTBxu0DoxCMin9JkeUMoSOHWP02jE/edit?usp=sharing">Slides</a>) at <a href="https://vqeg.org/meetings-home/">Video Quality Expert Group (VQEG) Meeting</a>
</li>
</ul>
<b style="color:rgb(40, 40, 40)">[Jun 2024]</b>
<ul style="margin-bottom:5px">
<li>2x CVPR'24 accepted. Cheers!
<ul style="margin-bottom:5px">
<li>
<a href="https://openaccess.thecvf.com/content/CVPR2024/html/Mei_CoDi_Conditional_Diffusion_Distillation_for_Higher-Fidelity_and_Faster_Image_Generation_CVPR_2024_paper.html"
>CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation</a>
</li>
<li>
<a href="https://openaccess.thecvf.com/content/CVPR2024/html/Li_Light_the_Night_A_Multi-Condition_Diffusion_Framework_for_Unpaired_Low-Light_CVPR_2024_paper.html"
>Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving</a>
</li>
</ul>
</li>
<li>We won the 1st place in the <a href="https://ai4streaming-workshop.github.io/">AI4Streaming workshop</a> (UGC Video Quality Assessment). <a href="https://arxiv.org/abs/2404.16205v1">[Challenge Report]</a>
<ul style="margin-bottom:5px">
<lOuri>
<a href="https://openaccess.thecvf.com/content/CVPR2024W/AI4Streaming/html/He_COVER_A_Comprehensive_Video_Quality_Evaluator_CVPRW_2024_paper.html">COVER: A Comprehensive Video Quality Evaluator</a>
</lOuri>
</ul>
</li>
<li> Our book chapter <i>
Quality Assessment in Media and Entertainment: Challenges and Trends
</i> in Computer Vision: Challenges, Trends, and Opportunities has been
<a href="https://books.google.com/books?hl=en&lr=&id=s6cLEQAAQBAJ&oi=fnd&pg=PA239&dq=info:QxaD8HQM4Q0J:scholar.google.com&ots=pt7A03qq6A&sig=6s98Q2SqHNCJdupN0de5QRuwhdg#v=onepage&q&f=false">Published.</a>
</li>
</ul>
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