214 citations · 433 across the 14 of their papers we have counts for
16 papers
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
Yue Wu, Yu Deng, Jiaolong Yang +3
Although 2D generative models have made great progress in face image generation and animation, they often suffer from undesirable artifacts such as 3D inconsistency when rendering…
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Minghao Chen, Fangyun Wei, Chong Li +1
Prior works on action representation learning mainly focus on designing various architectures to extract the global representations for short video clips. In contrast, many practic…
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du, Fangyun Wei, Zihe Zhang +3
Recently, vision-language pre-training shows great potential in open-vocabulary object detection, where detectors trained on base classes are devised for detecting new classes. The…
Bootstrap Your Object Detector via Mixed Training
Mengde Xu, Zheng Zhang, Fangyun Wei +5
We introduce MixTraining, a new training paradigm for object detection that can improve the performance of existing detectors for free. MixTraining enhances data augmentation by ut…
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu, Fangyun Wei, Han Hu +3
Due to the limited and even imbalanced data, semi-supervised semantic segmentation tends to have poor performance on some certain categories, e.g., tailed categories in Cityscapes…
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Yiting Cheng, Fangyun Wei, Jianmin Bao +3
Domain adaptation for semantic segmentation enables to alleviate the need for large-scale pixel-wise annotations. Recently, self-supervised learning (SSL) with a combination of ima…