2 citations · 4 across the 13 of their papers we have counts for
5 papers · 1 filter
CoVisco: Codec-Native Vision Encoder with Native Token Compression for Unified Image-Video Understanding
Yulong Liu, Xiaotian Han, Junyuan Shang +6
Vision-language models face a fundamental scaling bottleneck: the number of visual tokens grows with both temporal duration and spatial resolution, making long-video understanding…
RESUME: Recurrent State Updates from Motion and Residual Signals for Efficient Video Language Modeling
Can Zhang, Xiaotian Han, Junyuan Shang +5
Existing video language models encode sampled RGB frames independently, so a long video must either exhaust the token budget or drop the changes between sampled frames. Codec-aware…
From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents
Can Zhang, Baofeng Zhang, Xiaotian Han +5
Existing long-video agents acquire evidence through one uniform behavior, ignoring whether the required evidence is concentrated, requires broad occurrence coverage, or must discri…
Aggregating Visual Information with Optimal Transport for VideoLM Token Compression
Wenti Yin, Xiaotian Han, Junyuan Shang +5
Video language models process videos as dense visual-token sequences with substantial representational redundancy. Compressing these sequences is therefore essential for reducing t…
PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks
Yubo Zhang, Xueqing Wang, Manhui Lin +13
Vision-Language Models (VLMs) have achieved impressive results on general vision-language tasks, yet they suffer from hallucination, imprecise localization, and prohibitive computa…