activity
20182025
most citedPointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

74 citations · 107 across the 4 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation

Haichao Zhang, Yao Lu, Lichen Wang +4

Video Large Language Models (VLLMs) unlock world-knowledge-aware video understanding through pretraining on internet-scale data and have already shown promise on tasks such as movi…

cs.CV20222 cited

Adaptive Trajectory Prediction via Transferable GNN

Yi Xu, Lichen Wang, Yizhou Wang +1

Pedestrian trajectory prediction is an essential component in a wide range of AI applications such as autonomous driving and robotics. Existing methods usually assume the training…

cs.CV202131 cited

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or mute people to communicate but requires extensive effort to master. It is usually performed with the fast yet delicate movement of hand ge…

cs.CV2021

Skeleton Aware Multi-modal Sign Language Recognition

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the gap be…

cs.CV2020

Collaborative Attention Mechanism for Multi-View Action Recognition

Yue Bai, Zhiqiang Tao, Lichen Wang +3

Multi-view action recognition (MVAR) leverages complementary temporal information from different views to improve the learning performance. Obtaining informative view-specific repr…

cs.CV2020

Contradictory Structure Learning for Semi-supervised Domain Adaptation

Can Qin, Lichen Wang, Qianqian Ma +3

Current adversarial adaptation methods attempt to align the cross-domain features, whereas two challenges remain unsolved: 1) the conditional distribution mismatch and 2) the bias…