Few-shot in-context learning (ICL) with multi-modal large language models (MLLMs) enables task adaptation without parameter updates, but its performance is highly sensitive to the quality and coverage of the selected demonstrations. While unlabeled multi-modal data is abundant, it remains elusive how to exploit them fo...
Zirui Cheng, Xun Xu, Tiankai Chen et al.· 0 citations
Results validate the effectiveness of the proposed novel 3D object detection and tracking framework, termed ECF3DMOT, in advancing 3D object detection and tracking for autonomous driving.
Xiaojuan Peng, Fei Teng, Tiankai Chen et al.· International Journal of Mac...· 0 citations
GSP++ is presented, a graph-based inference framework that exploits the manifold structure of test-time point clouds to refine VLM scores without additional training, and introduces a self-training strategy that selects high-confidence positive and negative samples and assigns them calibrated pseudo scores to further s...
Tiankai Chen, Yushu Li, Adam Goodge et al.· IEEE Transactions on Pattern...· 0 citations
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