Video Object Segmentation (VOS) in complex and long videos is increasingly important for real-world applications, where target objects often appear only intermittently within long temporal horizons. However, existing benchmarks largely focus on temporally salient objects that remain visible for most of the video. To ad...
Jih-Wan Hong, Woohyeon Park, Jaeik Kim et al.· 0 citations
Omnimodal evaluation should go beyond independent text, image, and speech production: individually plausible outputs may not express a coherent shared event. We introduce Omni-StoryBench, a story-grounded omnimodal benchmark evaluating whether models can coherently continue stories across image, narration, and speech....
Sieun Hyeon, Yejoo Lee, Mintaek Lim et al.· 0 citations
Dynin-Robotics achieves competitive performance on LIBERO and zero-shot LIBERO-Plus, together with a 78.4% average success rate across four manipulation conditions on a Franka Research 3 robot.
Hoe-hwan Lee, Jaeik Kim, Jusang Oh et al.· 0 citations
SPDP advances the inference efficiency-quality Pareto frontier, showing that unified static-dynamic pruning can deliver substantial throughput and performance-per-watt improvements in large-scale LLM serving.
Jin-hong Kim, Yejoo Lee, Jaeyoung Do· Proceedings of the VLDB Endo...· 0 citations
This paper reinterprets FCIL as a unified multi-task learning problem, where both client and task updates are represented as adaptation vectors in a shared parameter space and proposes Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors (SUM), a purely server-side framework that performs geometric surgery o...
Jaeik Kim, Jaeyoung Do· 0 citations
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