activity
20212026
most citedTemperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks

96 citations · 245 across the 21 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025

SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation

Shihang Li, Zhiqiang Gong, Minming Ye +2

Recent advances in neural portrait animation have demonstrated remarked potential for applications in virtual avatars, telepresence, and digital content creation. However, traditio…

cs.CV2023

MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification

Zhiqiang Gong, Xian Zhou, Wen Yao

Due to the powerful ability in capturing the global information, Transformer has become an alternative architecture of CNNs for hyperspectral image classification. However, general…

cs.CV2023

Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification

Zhiqiang Gong, Xian Zhou, Wen Yao

Convolutional neural networks (CNNs) have been demonstrated their powerful ability to extract discriminative features for hyperspectral image classification. However, general deep…

cs.CV2022★ 4 cited

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision

Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng +2

As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models using abundant unlabeled ima…

cs.CV2022

Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation

Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong +3

Few-shot segmentation enables the model to recognize unseen classes with few annotated examples. Most existing methods adopt prototype learning architecture, where support prototyp…

cs.CV2021★ 3 cited

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

Donghua Wang, Tingsong Jiang, Jialiang Sun +5

Physical adversarial attacks in object detection have attracted increasing attention. However, most previous works focus on hiding the objects from the detector by generating an in…