ClusMatch Improving Deep Clustering by Unified Positive and Negative Pseudo-label Learning

von Wu, Jianlong
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Towards Understanding Convergence and Generalization of AdamW

von Zhou, Pan
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Designing Universally-Approximating Deep Neural Networks A First-Order Optimization Approach

von Wu, Zhoutong
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Panoptic-PartFormer++ A Unified and Decoupled View for Panoptic Part Segmentation

von Li, Xiangtai
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Adan Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

von Xie, Xingyu
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Optimization Induced Equilibrium Networks An Explicit Optimization Perspective for Understanding Equilibrium Models

von Xie, Xingyu
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Equilibrium Image Denoising With Implicit Differentiation

von Chen, Qi
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2023)

Structured Sparsity Optimization With Non-Convex Surrogates of l2,0-Norm A Unified Algorithmic Framework

von Zhang, Xiaoqin
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification

von Wang, Shiping
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Training Neural Networks by Lifted Proximal Operator Machines

von Li, Jia
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective A Survey and Beyond

von Liu, Risheng
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Towards Efficient Scene Understanding via Squeeze Reasoning

von Li, Xiangtai
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2021)

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning

von Liu, Yuanyuan
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2021)

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization

von Zhou, Pan
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2021)

DATA Differentiable ArchiTecture Approximation With Distribution Guided Sampling

von Zhang, Xinbang
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2021)

Tensor Low-Rank Representation for Data Recovery and Clustering

von Zhou, Pan
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2021)

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding

von Wei, Yinwei
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2020)

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

von Lu, Canyi
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2020)

On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems

von Liu, Risheng
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2020)

Robust 3D Human Pose Estimation from Single Images or Video Sequences

von Wang, Chunyu
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2019)