16 citations · 38 across the 19 of their papers we have counts for
9 papers · 1 filter
Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration
Lu Huo, Wenjian Huang, Jianguo Zhang +2
Knowledge transfer has strong potential to improve hyperspectral image (HSI) classification, yet two inherent challenges fundamentally restrict effective cross-domain transfer: spe…
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Jiahao Xia, Min Xu, Wenjian Huang +3
Despite the similar structures of human faces, existing face alignment methods cannot learn unified knowledge from multiple datasets with different landmark annotations. The limite…
Unsupervised Part Discovery via Dual Representation Alignment
Jiahao Xia, Wenjian Huang, Min Xu +4
Object parts serve as crucial intermediate representations in various downstream tasks, but part-level representation learning still has not received as much attention as other vis…
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Lu Huo, Jiahao Xia, Leijie Zhang +2
Existing multiple modality fusion methods, such as concatenation, summation, and encoder-decoder-based fusion, have recently been employed to combine modality characteristics of Hy…
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
Jiahao Xia, Haimin Zhang, Shiping Wen +2
While Convolutional Neural Networks (CNNs) have significantly boosted the performance of face related algorithms, maintaining accuracy and efficiency simultaneously in practical us…
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
Haimin Zhang, Min Xu
Deep neural networks have been successfully applied in various machine learning tasks. However, studies show that neural networks are susceptible to adversarial attacks. This expos…
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
Haimin Zhang, Min Xu
Motivated by the observation that humans can learn patterns from two given images at one time, we propose a dual pattern learning network architecture in this paper. Unlike convent…
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos
Haimin Zhang, Min Xu
With the widespread of user-generated Internet videos, emotion recognition in those videos attracts increasing research efforts. However, most existing works are based on frameleve…
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification
Haimin Zhang
Recently, video classification attracts intensive research efforts. However, most existing works are based on framelevel visual features, which might fail to model the temporal inf…