1k citations · 1.3k across the 26 of their papers we have counts for
6 papers · 1 filter
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Jiangning Zhang, Xianfang Zeng, Chao Xu +3
Audio-guided face reenactment aims to generate a photorealistic face that has matched facial expression with the input audio. However, current methods can only reenact a special pe…
Hierarchical and Efficient Learning for Person Re-Identification
Jiangning Zhang, Liang Liu, Chao Xu +1
Recent works in the person re-identification task mainly focus on the model accuracy while ignore factors related to the efficiency, e.g. model size and latency, which are critical…
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang, Yunhe Wang, Yixing Xu +6
Neural architecture search (NAS) aims to automatically design deep neural networks of satisfactory performance. Wherein, architecture performance predictor is critical to efficient…
Distilling portable Generative Adversarial Networks for Image Translation
Hanting Chen, Yunhe Wang, Han Shu +5
Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy co…
On Positive-Unlabeled Classification in GAN
Tianyu Guo, Chang Xu, Jiajun Huang +4
This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs.…
Discernible Image Compression
Zhaohui Yang, Yunhe Wang, Chang Xu +4
Image compression, as one of the fundamental low-level image processing tasks, is very essential for computer vision. Tremendous computing and storage resources can be preserved wi…