3 citations · 4 across the 5 of their papers we have counts for
5 papers
Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
Weijun Zhuang, Yuqing Huang, Weikang Meng +5
Large-scale video-language pretraining enables strong generalization across multimodal tasks but often incurs prohibitive computational costs. Although recent advances in masked vi…
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering
Xinqi Fan, Jingting Li, John See +6
Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial ex…
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
Weijun Zhuang, Qizhang Li, Xin Li +5
Temporal Action Detection and Moment Retrieval constitute two pivotal tasks in video understanding, focusing on precisely localizing temporal segments corresponding to specific act…
Multi-modal Crowd Counting via a Broker Modality
Haoliang Meng, Xiaopeng Hong, Chenhao Wang +2
Multi-modal crowd counting involves estimating crowd density from both visual and thermal/depth images. This task is challenging due to the significant gap between these distinct m…
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Hang Yao, Ming Liu, Haolin Wang +4
Diffusion models have shown superior performance on unsupervised anomaly detection tasks. Since trained with normal data only, diffusion models tend to reconstruct normal counterpa…