collaborators

7 papers

cs.CV2026

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization

Wei Tao, Xiaoyang Qu, Peiqiang Wang +4

Recently, video language models (VLMs) have been applied in various fields. However, the visual token sequence of the VLM is too long, which may cause intolerant inference latency…

cs.CV2026

Vista: Scene-Aware Optimization for Streaming Video Question Answering under Post-Hoc Queries

Haocheng Lu, Nan Zhang, Wei Tao +4

Streaming video question answering (Streaming Video QA) poses distinct challenges for multimodal large language models (MLLMs), as video frames arrive sequentially and user queries…

cs.CV2026

Triage: Hierarchical Visual Budgeting for Efficient Video Reasoning in Vision-Language Models

Anmin Wang, Nan Zhang, Wei Tao +4

Vision-Language Models (VLMs) face significant computational challenges in video processing due to massive data redundancy, which creates prohibitively long token sequences. To add…

cs.CV2025

RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models

Junjie Li, Nan Zhang, Xiaoyang Qu +4

Object Navigation (ObjectNav) is a fundamental task in embodied artificial intelligence. Although significant progress has been made in semantic map construction and target directi…

cs.CL2025

MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs

Wei Tao, Xiaoyang Qu, Kai Lu +3

When applying pre-trained large language models (LLMs) to address anomaly detection tasks, the multivariate time series (MTS) modality of anomaly detection does not align with the…

cs.CV2025

VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection

Bin Zhang, Xiaoyang Qu, Guokuan Li +2

As object detectors are increasingly deployed as black-box cloud services or pre-trained models with restricted access to the original training data, the challenge of zero-shot obj…