Peng Hu

28

Papers

117

Total Citations

Papers (28)

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification

LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification

Deep Unsupervised Hashing via External Guidance

Dual Self-Paced Cross-Modal Hashing

Noisy-Correspondence Learning for Text-to-Image Person Re-identification

Image Clustering with External Guidance

Learning Cross-Modal Retrieval With Noisy Labels

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery

Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification

All-in-One Image Restoration for Unknown Corruption

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective

RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Graph Matching with Bi-level Noisy Correspondence

Deep Supervised Cross-Modal Retrieval

Learning with Noisy Triplet Correspondence for Composed Image Retrieval

Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Partially View-aligned Clustering

Multi-Scale Adaptive Network for Single Image Denoising

Cross-modal Active Complementary Learning with Self-refining Correspondence