diff --git a/src/app/routes/Home.tsx b/src/app/routes/Home.tsx
index b4fdfd9..92645fb 100644
--- a/src/app/routes/Home.tsx
+++ b/src/app/routes/Home.tsx
@@ -338,6 +338,52 @@ function Home() {
         </div>
       </section>
 
+      {/* Poster Session */}
+      {programData.acceptedPapers.poster.length > 0 && (
+        <section id="posters" className="space-y-6">
+          <div className="space-y-2">
+            <h2 className="text-2xl sm:text-3xl tracking-tighter">
+              Poster Session
+            </h2>
+          </div>
+          <p>
+            Posters must be 42&quot; x 21&quot; (Width x Height, aspect ratio
+            2:1, landscape format). All posters will be displayed in{" "}
+            <span className="font-semibold">Exhibit Hall A</span>. Poster boards
+            will be available during your assigned session time. You may use the
+            official{" "}
+            <a
+              href="https://drive.google.com/drive/folders/1oaXlMOJzWMYUiFBImMepKsZcoicpks8Z"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="underline hover:text-primary"
+            >
+              CVPR logos and poster templates
+            </a>
+            .
+          </p>
+          <div className="relative border-border space-y-8">
+            {programData.acceptedPapers.poster.map((paper, index) => (
+              <div key={index} className="relative">
+                <div className="space-y-1">
+                  <div className="flex items-start gap-2">
+                    <h3 className="font-semibold">
+                      {paper.id}. {paper.title}
+                    </h3>
+                    {paper.posterBoard && (
+                      <span className="inline-flex items-center rounded-full bg-primary/10 px-3 py-1 text-xs font-semibold text-primary">
+                        Poster Board {paper.posterBoard}
+                      </span>
+                    )}
+                  </div>
+                  <p className="text-sm">{paper.authors}</p>
+                </div>
+              </div>
+            ))}
+          </div>
+        </section>
+      )}
+
       {/* Organizers */}
       <section id="organizers" className="space-y-6">
         <div className="space-y-2">
diff --git a/src/components/footer.tsx b/src/components/footer.tsx
index 0ce2f60..72e0d25 100644
--- a/src/components/footer.tsx
+++ b/src/components/footer.tsx
@@ -59,6 +59,12 @@ export function Footer() {
           >
             Speakers
           </Link>
+          <Link
+            to="/#posters"
+            className="text-sm text-muted-foreground hover:text-foreground"
+          >
+            Posters
+          </Link>
           <Link
             to="/#organizers"
             className="text-sm text-muted-foreground hover:text-foreground"
diff --git a/src/components/header.tsx b/src/components/header.tsx
index 92d01c1..b79c849 100644
--- a/src/components/header.tsx
+++ b/src/components/header.tsx
@@ -17,6 +17,7 @@ const navItems = [
   { name: "Home", path: "/" },
   { name: "Program", path: "/#program" },
   { name: "Speakers", path: "/#speakers" },
+  { name: "Posters", path: "/#posters" },
   { name: "Organizers", path: "/#organizers" },
   { name: "Contact", path: "/#contact" },
 ];
diff --git a/src/data/program.json b/src/data/program.json
index ad6fb82..cbcd9de 100644
--- a/src/data/program.json
+++ b/src/data/program.json
@@ -41,7 +41,104 @@
   ],
   "acceptedPapers": {
     "oral": [],
-    "poster": []
+    "poster": [
+      {
+        "id": 1,
+        "title": "Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning",
+        "authors": "Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 2,
+        "title": "EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories",
+        "authors": "Lu Wei, Yuta Nakashima, Noa Garcia",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 3,
+        "title": "Continual Distillation of Teachers from Different Domains",
+        "authors": "Nicolas Michel, Maorong Wang, Jiangpeng He, Toshihiko Yamasaki",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 4,
+        "title": "Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective",
+        "authors": "Bolin Lai, XuDong Wang, Saketh Rambhatla, James M. Rehg, Zsolt Kira, Rohit Girdhar, Ishan Misra",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 5,
+        "title": "Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers",
+        "authors": "Yifan Zhou, Zeqi Xiao, Tianyi Wei, Shuai Yang, Xingang Pan",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 6,
+        "title": "OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning",
+        "authors": "Yanqing Liu, Xianhang Li, Letian Zhang, Zirui Wang, Zeyu Zheng, Yuyin Zhou, Cihang Xie",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 7,
+        "title": "Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models",
+        "authors": "Jingchen Sun, Shaobo Han, Deep Patel, Wataru Kohno, Can Jin, Changyou Chen",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 8,
+        "title": "Teacher-Guided Routing for Sparse Vision Mixture-of-Experts",
+        "authors": "Masahiro Kada, Ryota Yoshihashi, Satoshi Ikehata, Rei Kawakami, Ikuro Sato",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 9,
+        "title": "PowerCLIP: Powerset Alignment for Fine-Grained Contrastive Pre-Training",
+        "authors": "Masaki Kawamura, Nakamasa Inoue, Rintaro Yanagi, Hirokatsu Kataoka, Rio Yokota",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 10,
+        "title": "VGGT-Ω",
+        "authors": "Jianyuan Wang, Minghao Chen, Shangzhan Zhang, Nikita Karaev, Johannes Schönberger, Patrick Labatut, Piotr Bojanowski, David Novotny, Andrea Vedaldi, Christian Rupprecht",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 11,
+        "title": "SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models",
+        "authors": "Sofian Chaybouti, Sanath Narayan, Yasser Dahou, Phuc H. Lê Khac, Ankit Singh, Ngoc Dung Huynh, Wamiq Reyaz Para, Hilde Kuehne, Hakim Hacid",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 12,
+        "title": "Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization",
+        "authors": "Tsai-Shien Chen, Aliaksandr Siarohin, Gordon Guocheng Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali, Riza Alp Guler, Willi Menapace, Ivan Skorokhodov, Anil Kag, Jun-Yan Zhu, Sergey Tulyakov",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 13,
+        "title": "SignFLIP: A Unified Model for Sign Language Translation and Generation via Stage-wise Alignment at Scale",
+        "authors": "Zhaoyi An, Sihan Tan, Youngbae Hwang, Kazuhiro Nakadai, Rei Kawakami",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 14,
+        "title": "Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation",
+        "authors": "Shihan Cheng, Nilesh Kulkarni, David Hyde, Dmitriy Smirnov",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 15,
+        "title": "A Mixed Diet Makes DINO An Omnivorous Vision Encoder",
+        "authors": "Rishabh Kabra, Maks Ovsjanikov, Drew A. Hudson, Ye Xia, Skanda Koppula, Andre Araujo, Joao Carreira, Niloy J. Mitra",
+        "posterBoard": "TBD"
+      },
+      {
+        "id": 16,
+        "title": "Object-Aware 4D Human Motion Generation",
+        "authors": "Shurui Gui, Deep Patel, Xiner Li, Martin Renqiang Min",
+        "posterBoard": "TBD"
+      }
+    ]
   },
   "panelDiscussion": {
     "title": "Panel: Big Model Adaptation for Computer Vision",