2 papers
cs.CV2026
VTrajEmbed: Aligning Text with Video Object Trajectories via Spatiotemporal Embeddings
Ruizhi Chen, Zining Fan, Yudi Guo +5
Fine-grained alignment between text and video object trajectories is a core challenge in multimodal understanding. Existing embedding models excel at global retrieval, yet their si…
cs.CL2026
Lens: Bringing the Right Semantic Perspective into Focus for Training-Free Multimodal Representation Learning
Xinran Liu, Shouqian Shi, Yixian Chen +3
High-quality representations are essential for a wide range of downstream tasks. Dedicated embedding models are explicitly optimized for representation learning, yet their training…