IEEE TPAMI

A Sparse Coding Interpretation of Neural Networks and Theoretical Implications

Joshua Bowren

Comments Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence

A causal framework for distribution generalization

Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, Jonas Peters

Comments 52 pages, 8 figures, 2 tables. To be published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

Jiyang Xie, Zhanyu Ma, and Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo

Comments Accepted by IEEE TPAMI, 2021

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention

Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo

Comments Accepted by IEEE TPAMI, 2021

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu

Comments In IEEE Transactions on Pattern Analysis and Machine Intelligence

Physics-based Noise Modeling for Extreme Low-light Photography

Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); code is available at https://github.com/Vandermode/ELD. arXiv admin note: substantial text overlap with arXiv:2003.12751

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng

Comments This work is accepted by TPAMI. The code is available at https://github.com/wliusjtu/Generalized-Smoothing-Framework. arXiv admin note: substantial text overlap with arXiv:1907.09642

Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation

Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian

Comments TPAMI under revivew. arXiv admin note: text overlap with arXiv:2003.12237

Counting People by Estimating People Flows

Weizhe Liu, Mathieu Salzmann, Pascal Fua

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence. Extension of Our ECCV 2020 Paper: arXiv:1911.10782

PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text

Wenhai Wang, Enze Xie, Xiang Li, Xuebo Liu, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen

Comments Accepted to TPAMI 2021

Path-Restore: Learning Network Path Selection for Image Restoration

Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy

Comments IEEE TPAMI 2021. Project page: https://www.mmlab-ntu.com/project/pathrestore/

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation

Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin

Comments Accepted by TPAMI 2021

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Wavelet Design in a Learning Framework

Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula

Comments This work has been submitted to the IEEE Transactions on Pattern Analysis and Machine Intelligence for possible publication

RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank

Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao

Comments IEEE PAMI accepted. arXiv admin note: substantial text overlap with arXiv:1908.06382

Rank-One Network: An Effective Framework for Image Restoration

Shangqi Gao, Xiahai Zhuang

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

Multivariate mixture model for myocardium segmentation combining multi-source images

Xiahai Zhuang

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 2019

Deep Feature Space: A Geometrical Perspective

Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos

Comments Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence

Lifelong Teacher-Student Network Learning

Fei Ye, Adrian G. Bors

Comments 18 pages, 18 figures. in IEEE Transactions on Pattern Analysis and Machine Intelligence

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

Comments Short version will be published on IEEE TPAMI

Instance-Level Relative Saliency Ranking with Graph Reasoning

Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao

Comments TPAMI under review

Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham

Comments IEEE TPAMI 2021. arXiv admin note: substantial text overlap with arXiv:1911.11236

Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization

Ying Qu, Zhenzhou Shao, Hairong Qi

Comments Accepted by IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification

Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Journal version of https://www.ijcai.org/proceedings/2020/0125 (IJCAI 2020). Codes are available at https://github.com/Kali-Hac/Locality-Awareness-SGE. arXiv admin note: text overlap with arXiv:2008.09435

Learning Mesh Representations via Binary Space Partitioning Tree Networks

Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang

Comments Accepted to TPAMI. This is the extended journal version of BSP-Net (arXiv:1911.06971) from CVPR 2020

PointINS: Point-based Instance Segmentation

Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

Affective Image Content Analysis: Two Decades Review and New Perspectives

Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer

Comments Accepted by IEEE TPAMI

VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds

Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

Comments Under review at IEEE TPAMI, journal extension of arXiv:2011.11390

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

Comments TPAMI 2021, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel/. arXiv admin note: substantial text overlap with arXiv:2002.05714

Wasserstein Adversarial Regularization (WAR) on label noise

Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

Comments In Press, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)