Yangliu Kuai — accepted AI-conference papers

2026

DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection

Rui Chen, Dongdong Li, Yan Fan, Yan Liu, Yangliu Kuai, Pengfei Zhu

ICML 2026oral

Recently, the rapid development of low-altitude aerial applications has driven the need for drone-based unified detectors. In contrast to task-specific detectors that suffer from poor scalability across diverse scenarios, existing unified detectors leverage the Mixture-of-Experts (MoE) architecture …

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2025

Exploring Efficient and Effective Sequence Learning for Visual Object Tracking

Dongdong Li, Zhinan Gao, Yangliu Kuai, Rui Chen

IJCAI 2025

Sequence learning based tracking frameworks are popular in the tracking community. In practice, its auto-regressive sequence generation manner leads to inferior performance and high latency compared with latest advanced trackers. In this paper, to mitigate this issue, we propose an efficient and eff

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