21 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun, Zhang Liu, Lianggong Wen +2
Video anomaly detection aims to identify abnormal events that occurred in videos. Since anomalous events are relatively rare, it is not feasible to collect a balanced dataset and t…
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
Jing Shi, Ning Xu, Haitian Zheng +3
Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have shown great knowledge transfer and generalization capability on various downstream tasks within their domains. I…
Learning to Generate Scene Graph from Natural Language Supervision
Yiwu Zhong, Jing Shi, Jianwei Yang +2
Learning from image-text data has demonstrated recent success for many recognition tasks, yet is currently limited to visual features or individual visual concepts such as objects.…
Learning by Planning: Language-Guided Global Image Editing
Jing Shi, Ning Xu, Yihang Xu +3
Recently, language-guided global image editing draws increasing attention with growing application potentials. However, previous GAN-based methods are not only confined to domain-s…