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Macquarie University, Australian National University, University of Sydney
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2D foundation models can dominate 3D medical imaging tasks without the massive inference overhead of per-slice encoding simply by compressing volume depth via gradient-free multiscale PCA before feature extraction.
Influence propagation can dramatically enhance link prediction accuracy in multi-relational graphs, as demonstrated by the IGNP framework's superior performance over traditional methods.
Achieve significantly more realistic and lip-synced movie dubbing by modeling the cognitive processes of professional actors with a novel diffusion transformer architecture.
By selectively attending to question-relevant information across video frames and memory, QViC-MF achieves state-of-the-art results in long-term video understanding, highlighting the importance of feedback-driven perception.
