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20162023
most citedPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

139 citations · 1.4k across the 82 of their papers we have counts for

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119 papers · 1 filter

cs.CV2023

WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields

Muyu Xu, Fangneng Zhan, Jiahui Zhang +5

Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requir…

cs.CV20221 cited

Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis

Hao Tang, Ling Shao, Philip H. S. Torr +1

We present a novel bipartite graph reasoning Generative Adversarial Network (BiGraphGAN) for two challenging tasks: person pose and facial image synthesis. The proposed graph gener…

cs.CV20226 cited

Learning Non-target Knowledge for Few-shot Semantic Segmentation

Yuanwei Liu, Nian Liu, Qinglong Cao +3

Existing studies in few-shot semantic segmentation only focus on mining the target object information, however, often are hard to tell ambiguous regions, especially in non-target r…

cs.CV2022

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization

Minghui Chen, Cheng Wen, Feng Zheng +2

Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in computer vision. Data augmentation has been t…

cs.CV202216 cited

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

Irtiza Hasan, Shengcai Liao, Jinpeng Li +2

Pedestrian detection is the cornerstone of many vision based applications, starting from object tracking to video surveillance and more recently, autonomous driving. With the rapid…

cs.CV20222 cited

Local and Global GANs with Semantic-Aware Upsampling for Image Generation

Hao Tang, Ling Shao, Philip H. S. Torr +1

In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is the difficulty in generating small o…