Showing Visual grounding Show all papers
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Counterfactual Evidence Disentanglement (CED) audits vision-language model grounding by comparing evidence-region and non-evidence-region support drops inside GRPO, improving visual reasoning across benchmarks without inference overhead or evidence annotations.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 16 on Hugging Face · Code ★ 4
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SIEVES improves selective prediction for visual question answering by scoring visual evidence quality, boosting out-of-distribution coverage up to three times across open and closed models without requiring internal weights.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Reformulating driving VLA as inverse kinematics with future visual prediction and diffusion-based decoding recovers visual grounding, letting a 0.5B model match 7B-8B planning performance.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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SSR3D-LLM introduces latent spatial reasoning steps to refine 3D object rankings step-by-step, improving fine-grained grounding across benchmarks while preserving unified language tasks.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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SEGA3D performs 3D vision-language segmentation via fine-grained mask candidates and LLM-guided selection, surpassing prior methods by up to 8.3 mIoU.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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GUI-SD uses on-policy self-distillation with privileged visual contexts and entropy-guided distillation for GUI grounding, outperforming GRPO methods in accuracy and efficiency.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face
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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.
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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TIGER-FG uses text-guided implicit fine-grained grounding and dual distillation to improve cropped-query e-commerce retrieval, boosting Recall@1 by up to 34.4 points without object detection.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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