64 citations · 116 across the 10 of their papers we have counts for
11 papers
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
Mingqing Wang, Jiawei Li, Zhenyang Li +4
Unsupervised anomaly detection (UAD) has been widely implemented in industrial and medical applications, which reduces the cost of manual annotation and improves efficiency in dise…
Learning to Agree on Vision Attention for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang +3
Visual Commonsense Reasoning (VCR) remains a significant yet challenging research problem in the realm of visual reasoning. A VCR model generally aims at answering a textual questi…
Alignment-guided Temporal Attention for Video Action Recognition
Yizhou Zhao, Zhenyang Li, Xun Guo +1
Temporal modeling is crucial for various video learning tasks. Most recent approaches employ either factorized (2D+1D) or joint (3D) spatial-temporal operations to extract temporal…
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Yikang Ding, Zhenyang Li, Dihe Huang +2
Learning-based multi-view stereo (MVS) methods have made impressive progress and surpassed traditional methods in recent years. However, their accuracy and completeness are still s…
Joint Answering and Explanation for Visual Commonsense Reasoning
Zhenyang Li, Yangyang Guo, Kejie Wang +3
Visual Commonsense Reasoning (VCR), deemed as one challenging extension of the Visual Question Answering (VQA), endeavors to pursue a more high-level visual comprehension. It is co…
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
Weidong Guo, Mingjun Zhao, Lusheng Zhang +5
Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performan…