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Showing papers from Shenzhen University of Advanced Technology Show all papers

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WorldSR: Harnessing World Knowledge Search for Grounded Image Super-Resolution

Junyuan Deng, Xinyi Wu, Zhenyao Wu, Song Wang and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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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Spatially Feasible 3D Indoor Scene Generation via Interaction-Oriented Human Proxy

Xinyuan Chen, Mingwen Shao, Qiao Zhang, Qinglin Zhan and 7 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Predictive Representation Learning for Partially Observed Neural Dynamics

Xinyi Li, Zhichao Liang, Hongjun Jiang, Yian Zhu and 5 more

Sydney Poster Session 3, Wed, Dec 9, 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
medium 0/10
strict 0/5
45%Niche pick
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BoxTuning: Object-Aware Visual Prompting for Multimodal Model Fine-Tuning

Zekun Qian, Ruize Han, Wei Feng

Sydney Poster Session 3, Wed, Dec 9, 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
medium 0/10
strict 0/5
57%Worth a look
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SearchV: Evolutionary Fine-Grained Visual-Token Skipping for Efficient Vision-Language Models

Xinrui Chen, Zhen Huang, Shuwei Li, Fanyi Zeng and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 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
89%Must read
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SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing

SMI replaces MIA-based unlearned model auditing with training-free statistical estimation of non-member mixture proportions in feature space, yielding reliable forgetting rates and bootstrap reliability ranges.

Jialong Sun, Zeming Wei, Jiaxuan Zou, Jiacheng Gong and 5 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
76%Highly rated
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Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration

Continuous Expert Assembly uses instance-conditioned low-rank residuals for token-wise dynamic parameterization to improve all-in-one image restoration, particularly for spatially varying and compositional degradations.

Haisen He, XIANGYU ZOU, SongLin Dong, Heng Li and 2 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
86%Must read
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Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback

Structured Defect Grounding models text-to-image failures as structured tuples for diagnosis and alignment, outperforming proprietary vision-language models and improving generation via importance-weighted rewards.

Huaisong Zhang, Hao Yu, Yuxuan Zhang, Jiahe Wang and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
80%Must read
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Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs

A frozen vision-language-action model improves test-time reliability by retrieving past successful actions to guide flow-matching generation without parameter updates.

Jianchao Zhao, Huoren Yang, Hu Yusong, Yuyang Gao and 5 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
76%Highly rated
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Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models

MCF-Proto equips VLA policies with motion-centric action frames and prototype-based parameterization, improving robustness to geometric perturbations via compact, structured action representations.

Huoren Yang, Jianchao Zhao, Hu Yusong, Qiguan Ou and 6 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
80%Must read
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COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection

COVD enables continual open-vocabulary detection via novel concept injection, and NoIn-Det freezes visual encoders to align text representations with new concepts without extra parameters, outperforming existing continual methods on Novel-114.

Yupeng Zhang, Ruize Han, Yuzhong Feng, Zixin Ren and 2 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5