most citedVideo-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

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cs.CV2026

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation

Thong Thanh Nguyen, Xiaobao Wu, Yi Bin +3

To equip artificial intelligence with a comprehensive understanding towards a temporal world, video and 4D panoptic scene graph generation abstracts visual data into nodes to repre…

cs.CV2026

Multi-Scale Contrastive Learning for Video Temporal Grounding

Thong Thanh Nguyen, Yi Bin, Xiaobao Wu +4

Temporal grounding, which localizes video moments related to a natural language query, is a core problem of vision-language learning and video understanding. To encode video moment…

cs.CV2024

MAMA: Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning

Thong Nguyen, Yi Bin, Xiaobao Wu +6

Data quality stands at the forefront of deciding the effectiveness of video-language representation learning. However, video-text pairs in previous data typically do not align perf…