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cs.CV2025
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
Yating Yu, Congqi Cao, Zhaoying Wang +6
How far are deep models from real-world video anomaly understanding (VAU)? Current works typically emphasize on detecting unexpected occurrences deviated from normal patterns or co…
cs.CV2025
Masked Diffusion Captioning for Visual Feature Learning
Chao Feng, Zihao Wei, Andrew Owens
We learn visual features by captioning images with an image-conditioned masked diffusion language model, a formulation we call masked diffusion captioning (MDC). During training, t…
cs.CV2024
Efficient Vision-Language Pre-training by Cluster Masking
Zihao Wei, Zixuan Pan, Andrew Owens
We propose a simple strategy for masking image patches during visual-language contrastive learning that improves the quality of the learned representations and the training speed.…