18 citations · 24 across the 5 of their papers we have counts for
5 papers
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Erfei Cui, Wenhai Wang, Zhiqi Li +7
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into th…
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyang Hu, Shipeng Yan, Zhitong Gao +1
Despite deep learning has achieved great success, it often relies on a large amount of training data with accurate labels, which are expensive and time-consuming to collect. A prom…
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
Tailin Chen, Desen Zhou, Jian Wang +6
In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel…
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang, Chuanyang Hu, Ruijie Xu +3
We tackle the novel class discovery problem, aiming to discover novel classes in unlabeled data based on labeled data from seen classes. The main challenge is to transfer knowledge…
Cascaded Sparse Feature Propagation Network for Interactive Segmentation
Chuyu Zhang, Chuanyang Hu, Hui Ren +2
We aim to tackle the problem of point-based interactive segmentation, in which the key challenge is to propagate the user-provided annotations to unlabeled regions efficiently. Exi…