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Showing papers from Institute of automation, Chinese academy of science Show all papers

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Pixel-space Autoregressive Image Synthesis via Spectrum Serialization and Flow-based Refinement

Guiwei Zhang, Tianyu Zhang, Yalong Bai, Ying Ba and 2 more

Sydney Poster Session 4, Wed, Dec 9, 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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A Unified Image and Video Encoder for Multimodal LLMs

Tongtian Yue, Zikang Liu, Longteng Guo, Handong Li and 8 more

Sydney Poster Session 4, Wed, Dec 9, 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
67%Highly rated
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Attention Heads are Complementary Visual Units: Mitigating Hallucinations in LVLMs via Adaptive Visual Cues Focusing

Zhenglin Hua, Yutong Xie, Yaxin Hou, Jiawei Tang and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
67%Highly rated
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Forgery Evidence Peaks Mid-Stack: Forensic Evidence Relay for Multimodal Forgery Detection

Yingxin Lai, xinyuan Wang, Yufei Liu, Jialin Guo and 3 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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WaveletLoRA: Frequency-Aware Content-Style Decomposition for Personalized Image Generation

Peiyao Wang, Jiahui Sun, Weining Wang, Jing Liu

Sydney Poster Session 4, Wed, Dec 9, 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
45%Niche pick
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Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation

Yangyang Liu

Sydney Poster Session 2, Tue, Dec 8, 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
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MHWA: Multi-timescale Hierarchical World-Action Model

Pengcheng Pan, Guoqing Ma, Yuhan Zhang, Yang Chen and 3 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models

Yuqiu Deng, Muyun Jiang, Zongpeng Zhang, Mingqing Xiao and 7 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 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
57%Worth a look
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PGGT-Loc: Primitive-Grounded Geometry Transformer for Feed-Forward Camera Localization

Hanqiao Ye, Yuzhou Liu, Mengqi Rong, Jian Liu and 2 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
67%Highly rated
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MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes

Wang Yifei, Wei Tian, WENHUA BAO, Jia Zhou and 9 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space

Hengli Li, Chenxi Li, Tong Wu, Xuekai Zhu and 7 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
83%Must read
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AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving

AlignDrive conditions longitudinal planning on the lateral path via anchor-based 1D displacement prediction and safety-critical augmentation, achieving state-of-the-art Bench2Drive results.

Yanhao Wu, Haoyang Zhang, Fei He, Rui Wu and 5 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
72%Highly rated
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OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

Object-Uni unifies object-centric spatial understanding and controllable generation via explicit pose variables, improving pose reasoning and geometrically consistent synthesis.

Mining Tan, yinuo Wang, Ziqi Zhou, Weize Quan 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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8/20 AI panelreviewers recommend it

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