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cs.CV2026
Enhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning
Haozhe Chi, Song Jin, Yang Jin +1
Long-video embedding requires capturing sparse query-relevant evidence under a limited visual-token budget. Uniform sampling can miss brief events in videos spanning minutes or hou…
cs.CV2026
Allocate Before You Embed: Adaptive Visual Input Allocation for Video Embeddings
Song Jin, Zhongtao Jiang, Chenglei Shen +5
Large-scale video retrieval requires embedding models to encode long and diverse videos under tight visual-input and inference budgets. Existing methods typically sample a small, f…
cs.CV2025
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
Juntian Zhang, Song Jin, Chuanqi Cheng +8
The limited capacity for fine-grained visual perception presents a critical bottleneck for Vision-Language Models (VLMs) in real-world applications. Addressing this is challenging…