most citedGeneralized One-shot Domain Adaptation of Generative Adversarial Networks

11 citations · 37 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV20226 cited

Semantic-Conditional Diffusion Networks for Image Captioning

Jianjie Luo, Yehao Li, Yingwei Pan +4

Recent advances on text-to-image generation have witnessed the rise of diffusion models which act as powerful generative models. Nevertheless, it is not trivial to exploit such lat…

cs.CV2022

Dynamic Temporal Filtering in Video Models

Fuchen Long, Zhaofan Qiu, Yingwei Pan +3

Video temporal dynamics is conventionally modeled with 3D spatial-temporal kernel or its factorized version comprised of 2D spatial kernel and 1D temporal kernel. The modeling powe…

cs.CV2022

SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement

Zhaofan Qiu, Yehao Li, Yu Wang +3

In this paper, we propose a novel deep architecture tailored for 3D point cloud applications, named as SPE-Net. The embedded ``Selective Position Encoding (SPE)'' procedure relies…

cs.CV20221 cited

Explaining Cross-Domain Recognition with Interpretable Deep Classifier

Yiheng Zhang, Ting Yao, Zhaofan Qiu +1

The recent advances in deep learning predominantly construct models in their internal representations, and it is opaque to explain the rationale behind and decisions to human users…

cs.CV2022

3D Cascade RCNN: High Quality Object Detection in Point Clouds

Qi Cai, Yingwei Pan, Ting Yao +1

Recent progress on 2D object detection has featured Cascade RCNN, which capitalizes on a sequence of cascade detectors to progressively improve proposal quality, towards high-quali…

cs.CV202211 cited

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

Zicheng Zhang, Yinglu Liu, Congying Han +3

The adaptation of a Generative Adversarial Network (GAN) aims to transfer a pre-trained GAN to a target domain with limited training data. In this paper, we focus on the one-shot c…