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20202023
most citedF3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

32 citations · 57 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

PUPS: Point Cloud Unified Panoptic Segmentation

Shihao Su, Jianyun Xu, Huanyu Wang +4

Point cloud panoptic segmentation is a challenging task that seeks a holistic solution for both semantic and instance segmentation to predict groupings of coherent points. Previous…

cs.CV2022★ 32 cited

F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

Xintian Wu, Qihang Zhang, Yiming Wu +4

Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion. Pr…

cs.CV2022

D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation

Xintian Wu, Huanyu Wang, Yiming Wu +1

As an important and challenging problem, few-shot image generation aims at generating realistic images through training a GAN model given few samples. A typical solution for few-sh…

cs.CV2021★ 8 cited

Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

Peng Sun, Wenhu Zhang, Huanyu Wang +2

RGB-D salient object detection (SOD) is usually formulated as a problem of classification or regression over two modalities, i.e., RGB and depth. Hence, effective RGBD feature mode…

cs.CV2020★ 3 cited

CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing

Huanyu Wang, Zequn Qin, Songyuan Li +1

Dynamic routing networks, aimed at finding the best routing paths in the networks, have achieved significant improvements to neural networks in terms of accuracy and efficiency. In…

cs.CV2020★ 12 cited

Ultra Fast Structure-aware Deep Lane Detection

Zequn Qin, Huanyu Wang, Xi Li

Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problem of challenging scenarios and speed. Inspired by huma…