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Jiekang Feng

1 accepted papers

2025

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark

ICLR 2025poster

The dynamic imbalance of the fore-background is a major challenge in video object counting, which is usually caused by the sparsity of target objects. This remains understudied in existing works and often leads to severe under-/over-prediction errors. To tackle this issue in video object counting, w…

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