46 citations · 97 across the 10 of their papers we have counts for
25 papers
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang, Minghan Li, Ruihuang Li +2
Arbitrary style transfer (AST) and domain generalization (DG) are important yet challenging visual learning tasks, which can be cast as a feature distribution matching problem. Wit…
One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-out
Minghan Li, Lei Zhang
Many video instance segmentation (VIS) methods partition a video sequence into individual frames to detect and segment objects frame by frame. However, such a frame-in frame-out (F…
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
Yuanyi Zhong, Jianfeng Wang, Jian Peng +1
In this paper, we propose an effective knowledge transfer framework to boost the weakly supervised object detection accuracy with the help of an external fully-annotated source dat…
Hashing-based Non-Maximum Suppression for Crowded Object Detection
Jianfeng Wang, Xi Yin, Lijuan Wang +1
In this paper, we propose an algorithm, named hashing-based non-maximum suppression (HNMS) to efficiently suppress the non-maximum boxes for object detection. Non-maximum suppressi…
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li +9
Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatena…
Generative One-Shot Face Recognition
Zhengming Ding, Yandong Guo, Lei Zhang +1
One-shot face recognition measures the ability to identify persons with only seeing them at one glance, and is a hallmark of human visual intelligence. It is challenging for conven…