Good Papers

Showing papers from Tsinghua University, China Show all papers

45%Niche pick
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Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept

Tianlu Zhang, guiguang ding, Jungong Han

Sydney Poster Session 4, Wed, Dec 9, 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
72%Highly rated
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ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration

ONE-SHOT factorizes compositional video generation via spatial-decoupled motion injection and hybrid context integration, achieving fine-grained human-environment control and minute-level consistency without 3D alignment.

Fengyuan Yang, Luying Huang, Jiazhi Guan, Quanwei Yang and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

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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
80%Must read
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RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance

RA-CFGCache aligns caching risk with CFG branch errors and timestep propagation to improve diffusion model efficiency and fidelity.

Yiming Liu, Ben Wan, Hui Chen, Ao Wang and 4 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 3/5
medium 8/10
strict 1/5
86%Must read
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PhaseLoRA: Control-Regime-Conditioned Low-Rank Adaptation for Continuous-Action Vision-Language-Action Policies

PhaseLoRA conditions LoRA updates on control-regime descriptors at each step, improving continuous-action VLA success by 12.2 points over high-rank baselines.

Yufei Guo, Yinan Wu, Haoran Duan, guiguang ding and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 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 8/10
strict 1/5