Adaptive Indefinite Kernels in Hyperbolic Spaces
Pengfei Fang
NN 2024 [Coming soon!]
Dynamic Functional Connections Analysis with Spectral Learning for Brain Disorder Detection
Yanfang Xue, Hui Xue,
Pengfei Fang, Shipeng Zhu, Lishan Qiao and Yuexuan An
AIM 2024 [Coming soon!!!]
Improving Scene Text Retrieval via Stylized Middle Modality
Shipeng Zhu, Jun Fang,
Pengfei Fang and Hui Xue
TCSVT 2024 [Coming soon!!!]
Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning
Yuexuan An, Hui Xue, Xingyu Zhao,
Pengfei Fang and Xin Geng
TNNLS 2024 [Coming soon!!!]
Multi-Scale Explicit Matching and Mutual Subject Teacher Learning for Generalizable Person Re-Identification
Kaixiang Chen,
Pengfei Fang, Zi Ye and Liyan Zhang
TCSVT 2024 [Coming soon!!!]
Poincaré Kernels for Hyperbolic Representations
Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan and Lars Petersson
IJCV 2023 [
Paper]
On Learning Distribution Alignment for Video-based Visible-Infrared Person Re-Identification
Pengfei Fang, Yaojun Hu, Shipeng Zhu and Hui Xue
CVIU 2023 [
Paper]
Beyond A Strong Baseline: Cross-Modality Contrastive Learning for Visible-Infrared Person Re-Identification
Pengfei Fang, Yukang Zhang and Zhenzhong Lan
MVA 2023 [
Paper]
Curved Geometric Networks for Visual Anomaly Recognition
Jie Hong,
Pengfei Fang*, Weihao Li, Junlin Han, Lars Petersson and Mehrtash Harandi
TNNLS 2023 [
Paper] (*: corresponding author)
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal
Yuan Feng, Yaojun Hu,
Pengfei Fang*, Yanhong Yang, Sheng Liu and Shengyong Chen
TOMM 2023 [
Paper] (*: corresponding author)
Deep Graph Convolutional Network for Small-Molecule Retention Time Prediction
Qiyue Kang*,
Pengfei Fang*，Shuai Zhang, Huachuan Qiu and Zhenzhong Lan
Journal of Chromatography A 2023 [
Paper](*: equal contribution)
GOSS: Towards Generalized Open-set Semantic Segmentation
Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng,
Pengfei Fang, Mehrtash Harandi and Lars Petersson
TVC 2023 [
Paper]
Attention in Attention Networks for Person Retrieval
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson and Mehrtash Harandi
TPAMI 2022 [
Paper]
Connecting the Dots in Self-supervised Learning: A Brief Survey for Beginners
Pengfei Fang, Xian Li, Yang Yan, Shuai Zhang, Qiyue Kang, Xiaofei Li and Zhenzhong Lan
JCST 2022 [
Paper]
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng,
Pengfei Fang, Yanjie Liang, Liao Zhang, Chunhua Shen and Hanzi Wang
TIP 2022 [
Paper]
TRL: Transformer based Refinement Learning for Hybrid-Supervised Semantic Segmentation
Lin Cheng,
Pengfei Fang, Yan Yan, Yang Lu and Hanzi Wang
PRL 2022 [
Paper]
Cross-Correlated Attention Networks for Person Re-Identification
Jieming Zhou, Soumava Kumar Roy,
Pengfei Fang, Mehrtash Harandi and Lars Petersson
IVC 2020 [
Paper]
Reproducing the Past: A Dataset for Benchmarking Inscription Restoration [Best paper nomination]
Shipeng Zhu, Hui Xue, Na Nie, Chenjie Zhu, Haiyue Liu and
Pengfei Fang
ACM MM 2024 [Coming soon!!!]
PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution
Zuoyan Zhao, Hui Xue,
Pengfei Fang and Shipeng Zhu
ACM MM 2024 [Coming soon!!!]
Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space
Shangyu Chen, Xiaohao Qian,
Pengfei Fang, Mehrtash Harandi, Dinh Phung and Jianfei Cai
ICPR 2024 [Coming soon!!!]
Copula-Nested Spectral Kernel Network
Jinyue Tian, Hui Xue, Yanfang Xue and
Pengfei Fang
ICML 2024 [Coming soon!!!]
Text Image Inpainting via Global Structure-guided Diffusion Models
Shipeng Zhu,
Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu and Hui Xue
AAAI 2024 [Coming soon!!!]
CosNet: A Generalized Spectral Kernel Network
Yanfang Xue,
Pengfei Fang, Jinyue Tian, Shipeng Zhu and Hui Xue
NeurIPS 2023 [Coming soon!!!]
Hyperbolic Audio-visual Zero-shot Learning
Jie Hong, Zeeshan Hayder, Junlin Han,
Pengfei Fang*, Mehrtash Harandi and Lars Petersson
ICCV 2023 [
Paper] (*: corresponding author)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
Chiyu Song, Hongliang He, Haofei Yu,
Pengfei Fang, Leyang Cui and Zhenzhong Lan
Fingdings of ACL 2023 [
Paper]
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
Meimei Yang,
Pengfei Fang and Hui Xue
IJCAI 2023 [
Paper]
Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network
Shipeng Zhu, Zuoyan Zhao,
Pengfei Fang and Hui Xue
AAAI 2023 [
Paper]
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks
Jieming Zhou, Tong Zhang,
Pengfei Fang, Lars Petersson and Mehrtash Harandi
DICTA 2023 [Coming soon!!!]
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han,
Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian Reid, Lars Petersson and Hongdong Li
ICML 2022 [
Paper]
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning
Rongkai Ma,
Pengfei Fang*, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond and Mehrtash Harandi
ECCV 2022 [
Paper] (*: corresponding author)
Blind Image Decomposition
Junlin Han, Weihao Li,
Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson and Hongdong Li
ECCV 2022 [
Paper]
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Yaoxian Song, Penglei Sun,
Pengfei Fang, Linyi Yang, Yanghua Xiao and Yue Zhang
COLING 2022 [
Paper]
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma,
Pengfei Fang*, Tom Drummond and Mehrtash Harandi
AAAI 2022 [
Paper] (*: corresponding author)
Kernel Methods in Hyperbolic Spaces
Pengfei Fang, Mehrtash Harandi and Lars Petersson
ICCV 2021 [
Paper]
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe,
Pengfei Fang, Christian Simon, Lars Petersson and Mehrtash Harandi
ICCV 2021 [
Paper]
Reinforced Attention for Few-Shot Learning and Beyond
Jie Hong,
Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi and Lars Petersson
CVPR 2021 [
Paper]
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Ali Cheraghian, Shafin Rahman,
Pengfei Fang, Soumava Kumar Roy, Lars Petersson and Mehrtash Harandi
CVPR 2021 [
Paper]
Set Augmented Triplet Loss for Video Person Re-Identification
Pengfei Fang, Pan Ji, Lars Petersson and Mehrtash Harandi
WACV 2021 [
Paper]
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson and Mehrtash Harandi
ACCV 2020 [
Paper]
Bilinear Attention Networks for Person Retrieval
Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson and Mehrtash Harandi
ICCV 2019 [
Paper]
Edge-event-based Multi-agent Consensus with Zeno-free Triggers under Synchronized/Unsynchronized Clocks
Pengfei Fang, Qingchen Liu, Xiaolei Hou, Jiahu Qin and Changbin Yu
CDC 2017 [
Paper]