Showing 2026Show all
3 papers · 1 filter
cs.MM2026
Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning
Donghuo Zeng, Hao Niu, Masato Taya
Learning aligned multimodal embeddings from weakly paired, label-free corpora is challenging: pipelines often provide only pre-extracted features, clips contain multiple events, an…
cs.CV2026
Variance & Greediness: A comparative study of metric-learning losses
Donghuo Zeng, Hao Niu, Zhi Li +1
Metric learning is central to retrieval, yet its effects on embedding geometry and optimization dynamics are not well understood. We introduce a diagnostic framework, VARIANCE (int…
cs.MM2026
Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs
Donghuo Zeng, Hao Niu, Yanan Wang +1
Learning robust audio-visual embeddings requires bringing genuinely related audio and visual signals together while filtering out incidental co-occurrences - background noise, unre…