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cs.CV2026
What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA
Jinhwan Seo, Kyubeom Han, Jumin Lee +2
We study a critical yet overlooked failure mode in Grounded Video Question Answering: question-invariant grounding, where models predict nearly identical temporal segments for diff…
cs.CV2026
VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection
Jumin Lee, Siyeong Lee, Namil Kim +1
Long-tail distributions in driving datasets pose a fundamental challenge for 3D perception, as rare classes exhibit substantial intra-class diversity yet available samples cover th…
cs.CV2026
MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos
Taeyeon Kim, Youngju Na, Jumin Lee +3
Transferring articulated motion from monocular videos to rigged 3D characters is challenging due to pose ambiguity in 2D observations and morphological differences between source a…