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Department of Electrical and Computer Engineering University of British Columbia (UBC)
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Current video benchmarks are too simple; UniVBench offers the first unified framework to measure the integrated capabilities of video foundation models using complex, multi-shot videos and a standardized evaluation system.
Overcome underwater visibility challenges and improve fish detection accuracy by explicitly modeling and compensating for frequency-specific information loss due to wavelength-dependent absorption and turbidity.
Stop letting noisy, low-predictability data ruin your time series models: APTF dynamically identifies and penalizes these samples during training, leading to improved forecasting and classification accuracy.
