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Showing papers from Department of Computer Science, University of Washington Show all papers

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Rubato: Transcribing Piano Music with Timestamps

Nazif Tamer, Victoria Ebert, Guang Yang, Noah Smith

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Toward Multimodal Sheet Music Recognition and Understanding

Guang Yang, Brian Zheng, Victoria Ebert, Noah Smith

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
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57%Worth a look
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Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers

Zhihan Zhang, Alexander Le Metzger, Jiuyang Lyu, Chun-Cheng Chang and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding

Shuo Gao, Chenhao Zheng, Jason Ren

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
83%Must read
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RefDecoder: Enhancing Visual Generation with Conditional Video Decoding

RefDecoder conditions video VAE decoders on reference images via attention to recover lost detail, boosting reconstruction PSNR by up to 2.1 dB and improving consistency across video generation tasks without retraining.

Xiang Fan, Yuheng Wang, Bohan Fang, Jason Ren and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
83%Must read
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URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets

URDF-Anything+ directly generates simulation-ready articulated URDF models from single RGB images via end-to-end autoregressive diffusion, outperforming prior methods in reconstruction quality, joint estimation, and physical executability.

Zhuangzhe Wu, Yue Xin, Chengkai Hou, Minghao Chen and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
86%Must read
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MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction

MolmoMotion predicts goal-conditioned 3D point trajectories from visual history and language, outperforming baselines on PointMotionBench and improving robot manipulation and video synthesis.

Jianing Zhang, Chenhao Zheng, Yajun Yang, Rustin Soraki and 6 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 53 on Hugging Face · Code ★ 151

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
70%Highly rated
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Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities

ADUCA is a parameter-free cyclic algorithm for Minty variational inequalities that uses delayed operator updates to avoid line searches and achieves near-optimal global oracle complexity.

Yi Wei, Xufeng Cai, Jelena Diakonikolas

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
medium 3/10
strict 1/5
80%Must read
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Vision-Language Grounding as Bidirectional Concept Correspondence

Grounding is formulated as bidirectional concept correspondence to recover all image-text span correspondences without prespecified phrases via ConCor-1, improving F1 by 48% and 29% over baselines.

Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer, Ranjay Krishna

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 8

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5