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CompetitionCompleted
AIC24 COMPETITION
Developed scalable video understanding pipelines for event retrieval, leveraging contrastive learning and multimodal embeddings to enhance temporal-semantic alignment in untrimmed video datasets.
Key Details
Integrated multi-head self-attention, temporal convolutional networks, and cross-modal fusion to improve mAP and retrieval latency in benchmark datasets.