Edge-event-based multi-agent consensus with Zeno-free triggers under synchronized/unsynchronized clocks. - Pengfei Fang; Qingchen Liu; Xiaolei Hou; Jiahu Qin; Changbin Yu (CDC, 2017)

Distributed cooperation of directed coupled double-integrator agents using sampled and delayed position data. - Na Huang; Chao Huang 018; Pengfei Fang; Changbin Yu (ICCA, 2017)

Bilinear Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (ICCV, 2019)

Recovering 6D object pose from RGB indoor image based on two-stage detection network with multi-task loss. - Fuchang Liu; Pengfei Fang; Zhengwei Yao; Ran Fan; Zhigeng Pan; Weiguo Sheng 001; Huansong Yang (Neurocomputing, 2019)

Channel Recurrent Attention Networks for Video Pedestrian Retrieval. - Pengfei Fang; Pan Ji; Jieming Zhou; Lars Petersson; Mehrtash Harandi (ACCV (6), 2020)

Cross-Correlated Attention Networks for Person Re-Identification. - Jieming Zhou; Soumava Kumar Roy; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Image Vis. Comput., 2020)

Neuron perceptron-driven image encryption incorporating hyper-chaotic system. - Yuanyuan Hui; Han Liu 007; Pengfei Fang (CAA SAFEPROCESS, 2021)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 2021)

Reinforced Attention for Few-Shot Learning and Beyond. - Jie Hong; Pengfei Fang; Weihao Li 005; Tong Zhang 023; Christian Simon; Mehrtash Harandi; Lars Petersson (CVPR, 2021)

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; Mehrtash Harandi (ICCV, 2021)

Kernel Methods in Hyperbolic Spaces. - Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2021)

Set Augmented Triplet Loss for Video Person Re-Identification. - Pengfei Fang; Pan Ji; Lars Petersson; Mehrtash Harandi (WACV, 2021)

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks. - Pengfei Fang; Han Liu 007; Chengmao Wu (IEEE Access, 2021)

TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. - Lin Cheng; Pengfei Fang; Yanjie Liang; Liao Zhang; Chunhua Shen; Hanzi Wang (CoRR, 2021)

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. - Rongkai Ma; Pengfei Fang; Gil Avraham; Yan Zuo; Tom Drummond; Mehrtash Harandi (CoRR, 2021)

Adaptive Poincaré Point to Set Distance for Few-Shot Classification. - Rongkai Ma; Pengfei Fang; Tom Drummond; Mehrtash Harandi (AAAI, 2022)

Human-in-the-loop Robotic Grasping Using BERT Scene Representation. - Yaoxian Song; Penglei Sun; Pengfei Fang; Linyi Yang; Yanghua Xiao; Yue Zhang 004 (COLING, 2022)

Blind Image Decomposition. - Junlin Han; Weihao Li 005; Pengfei Fang; Chunyi Sun; Jie Hong; Mohammad Ali Armin; Lars Petersson; Hongdong Li (ECCV (18), 2022)

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. - Rongkai Ma; Pengfei Fang; Gil Avraham; Yan Zuo; Tianyu Zhu 001; Tom Drummond; Mehrtash Harandi (ECCV (20), 2022)

You Only Cut Once: Boosting Data Augmentation with a Single Cut. - Junlin Han; Pengfei Fang; Weihao Li 005; Jie Hong; Mohammad Ali Armin; Ian D. Reid 001; Lars Petersson; Hongdong Li (ICML, 2022)

Towards Automated Real-time Evaluation in Text-based Counseling. - Anqi Li 002; Jingsong Ma; Lizhi Ma; Pengfei Fang; Hongliang He; Zhenzhong Lan (CoRR, 2022)

What Images are More Memorable to Machines? - Junlin Han; Huangying Zhan; Jie Hong; Pengfei Fang; Hongdong Li; Lars Petersson; Ian D. Reid 001 (CoRR, 2022)

A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks. - Pengfei Fang; Han Liu 007; Chengmao Wu; Min Liu 028 (Multim. Tools Appl., 2022)

Attention in Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Pan Ji; Lars Petersson; Mehrtash Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation. - Lin Cheng; Pengfei Fang; Yan Yan 001; Yang Lu 009; Hanzi Wang (Pattern Recognit. Lett., 2022)

TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. - Lin Cheng; Pengfei Fang; Yanjie Liang; Liao Zhang; Chunhua Shen; Hanzi Wang (IEEE Trans. Image Process., 2022)

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. - Shipeng Zhu; Zuoyan Zhao; Pengfei Fang; Hui Xue 002 (AAAI, 2023)

Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems. - Chiyu Song; Hongliang He; Haofei Yu; Pengfei Fang; Leyang Cui; Zhenzhong Lan (ACL (Findings), 2023)

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. - Jieming Zhou; Tong Zhang 023; Pengfei Fang; Lars Petersson; Mehrtash Harandi (DICTA, 2023)

Hyperbolic Audio-visual Zero-shot Learning. - Jie Hong; Zeeshan Hayder; Junlin Han; Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2023)

Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. - Meimei Yang; Pengfei Fang; Hui Xue 002 (IJCAI, 2023)

CosNet: A Generalized Spectral Kernel Network. - Yanfang Xue; Pengfei Fang; Jinyue Tian; Shipeng Zhu; Hui Xue 002 (NeurIPS, 2023)

Hyperbolic Geometry in Computer Vision: A Survey. - Pengfei Fang; Mehrtash Harandi; Trung Le 001; Dinh Q. Phung (CoRR, 2023)

Poincaré Kernels for Hyperbolic Representations. - Pengfei Fang; Mehrtash Harandi; Zhenzhong Lan; Lars Petersson (Int. J. Comput. Vis., 2023)

A DNA image encryption based on a new hyperchaotic system. - Yuanyuan Hui; Han Liu 007; Pengfei Fang (Multim. Tools Appl., 2023)

A survey of image encryption algorithms based on chaotic system. - Pengfei Fang; Han Liu 007; Chengmao Wu; Min Liu 028 (Vis. Comput., 2023)

Beyond a strong baseline: cross-modality contrastive learning for visible-infrared person re-identification. - Pengfei Fang; Yukang Zhang; Zhenzhong Lan (Mach. Vis. Appl., 2023)

On learning distribution alignment for video-based visible-infrared person re-identification. - Pengfei Fang; Yaojun Hu; Shipeng Zhu; Hui Xue 002 (Comput. Vis. Image Underst., 2023)

Text Image Inpainting via Global Structure-Guided Diffusion Models. - Shipeng Zhu; Pengfei Fang; Chenjie Zhu; Zuoyan Zhao; Qiang Xu; Hui Xue 002 (AAAI, 2024)

TSDNet: An Efficient Light Footprint Keyword Spotting Deep Network Base on Tempera Segment Normalization. - Fei Chen 015; Hui Xue 002; Pengfei Fang (CSCWD, 2024)

Copula-Nested Spectral Kernel Network. - Jinyue Tian; Hui Xue 002; Yanfang Xue; Pengfei Fang (ICML, 2024)

Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space. - Shangyu Chen; Xiaohao Yang; Pengfei Fang; Mehrtash Tafazzoli Harandi; Dinh Q. Phung; Jianfei Cai 001 (ICPR (9), 2024)

PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution. - Zuoyan Zhao; Hui Xue 002; Pengfei Fang; Shipeng Zhu (ACM Multimedia, 2024)

Reproducing the Past: A Dataset for Benchmarking Inscription Restoration. - Shipeng Zhu; Hui Xue 002; Na Nie; Chenjie Zhu; Haiyue Liu; Pengfei Fang (ACM Multimedia, 2024)

Dynamic functional connections analysis with spectral learning for brain disorder detection. - Yanfang Xue; Hui Xue 002; Pengfei Fang; Shipeng Zhu; Lishan Qiao; Yuexuan An (Artif. Intell. Medicine, 2024)

Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy. - Weijian Mai; Jian Zhang; Pengfei Fang; Zhijun Zhang (CoRR, 2024)

Towards Few-Shot Learning in the Open World: A Review and Beyond. - Hui Xue 002; Yuexuan An; Yongchun Qin; Wenqian Li; Yixin Wu; Yongjuan Che; Pengfei Fang; Minling Zhang (CoRR, 2024)

On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning. - Pengfei Fang; Yongchun Qin; Hui Xue 002 (CoRR, 2024)

Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal. - Yuan Feng 002; Yaojun Hu; Pengfei Fang; Sheng Liu 002; Yanhong Yang; Shengyong Chen (ACM Trans. Multim. Comput. Commun. Appl., 2024)

GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Publisher Correction: GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Multi-Scale Explicit Matching and Mutual Subject Teacher Learning for Generalizable Person Re-Identification. - Kaixiang Chen; Pengfei Fang; Zi Ye; Liyan Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Curved Geometric Networks for Visual Anomaly Recognition. - Jie Hong; Pengfei Fang; Weihao Li 005; Junlin Han; Lars Petersson; Mehrtash Harandi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving Scene Text Retrieval via Stylized Middle Modality. - Shipeng Zhu; Jun Fang; Pengfei Fang; Hui Xue 002 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. - Wenqian Li; Pengfei Fang; Hui Xue 002 (AAAI, 2025)

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. - Yongchun Qin; Pengfei Fang; Hui Xue 002 (AAAI, 2025)

DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. - Kaixiang Chen; Pengfei Fang; Hui Xue 002 (SIGIR, 2025)

HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization. - Shangyu Chen; Pengfei Fang; Mehrtash Harandi; Trung Le 001; Jianfei Cai 001; Dinh Q. Phung (Comput. Vis. Image Underst., 2025)

OAFN: An efficient open-world audio few-shot learning network for event classification. - Fei Chen 015; Hui Xue 002; Pengfei Fang (Knowl. Based Syst., 2025)

Adaptive indefinite kernels in hyperbolic spaces. - Pengfei Fang (Neural Networks, 2025)

On inferring prototypes for multi-label few-shot learning via partial aggregation. - Pengfei Fang; Zhihong Chen; Hui Xue 002 (Pattern Recognit., 2025)

Joint state estimation and topology inference for graphical dynamical systems. - Pengfei Fang; Wenling Li; Jia Song; Xiaoming Li; Li Ma (Signal Process., 2025)

Learning Noisy Few-Shot Classification Without Relying on Pseudo-Noise Data. - Yixin Wu; Hui Xue 002; Yuexuan An; Pengfei Fang (IEEE Signal Process. Lett., 2025)

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Ning Xu 009; Pengfei Fang; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy. - Weijian Mai; Jian Zhang; Pengfei Fang; Zhijun Zhang 003 (IEEE Trans. Artif. Intell., 2025)