IEEE TPAMI

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière

Comments accepted to IEEE transactions on pattern analysis and machine intelligence (TPAMI)

Solving Inverse Problems With Deep Neural Networks -- Robustness Included?

Martin Genzel, Jan Macdonald, Maximilian März

Journal ref IEEE Trans. Pattern Anal. Mach. Intell. 45.1 (2023), 1119-1134

GH-Feat: Learning Versatile Generative Hierarchical Features from GANs

Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou

Comments Accepted by TPAMI 2022. arXiv admin note: text overlap with arXiv:2007.10379

DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

Denis Coquenet, Clément Chatelain, Thierry Paquet

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 2023

Universal Multimodal Representation for Language Understanding

Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error

Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio Buttazzo

Comments Under review on IEEE journal Transactions on Pattern Analysis and Machine Intelligence

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

SIFT Matching by Context Exposed

Fabio Bellavia

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), March 2022. Project page: https://sites.google.com/view/fbellavia/research/blob_dtm

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:2 (2023) 2445 - 2457

Vocabulary-informed Zero-shot and Open-set Learning

Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal

Comments 17 pages, 8 figures. TPAMI 2019 extended from CVPR 2016 (arXiv:1604.07093)

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation

Haoyu Ma, Xiangru Lin, Yizhou Yu

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)

Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds

Feihu Huang, Shangqian Gao

Comments This paper was accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis

Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu

Comments Accepted by IEEE TPAMI. Codes and pre-trained models are available at \url{https://github.com/RL4M/PCRLv2}

Learning Invariance from Generated Variance for Unsupervised Person Re-identification

Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, Francois Bremond

Comments Extension of conference paper arXiv:2012.09071. Accepted to TPAMI. Project page: https://github.com/chenhao2345/GCL-extended

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

Comments submitted to TPAMI

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang

Comments Accepted by TPAMI 2022

Polarimetric Multi-View Inverse Rendering

Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi

Comments Paper accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (2022). arXiv admin note: substantial text overlap with arXiv:2007.08830

Intrinsic Image Transfer for Illumination Manipulation

Junqing Huang, Michael Ruzhansky, Qianying Zhang, Haihui Wang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

What Makes for Good Tokenizers in Vision Transformer?

Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection

Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai

Comments Accepted by TPAMI-2022

Adversarial Sticker: A Stealthy Attack Method in the Physical World

Xingxing Wei, Ying Guo, Jie Yu

Comments accepted by TPAMI 2022

Partial Domain Adaptation without Domain Alignment

Weikai Li, Songcan Chen

Comments 10 pages. IEEE Transactions on Pattern Analysis and Machine Intelligence,2022

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao

Comments This is an extention of AAAI'22 paper (TransZero). Accepted to TPAMI. arXiv admin note: substantial text overlap with arXiv:2112.01683

State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions

Cheng Wang, Carolin Lawrence, Mathias Niepert

Comments To appear at IEEE Transactions on Pattern Analysis and Machine Intelligence. The extended version of State-Regularized Recurrent Neural Networks [arXiv:1901.08817]

ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting

Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang

Comments Accepted by TPAMI. Code is available at https://github.com/FangShancheng/ABINet-PP. arXiv admin note: substantial text overlap with arXiv:2103.06495 (conference version)

Robust Point Cloud Segmentation with Noisy Annotations

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

Comments To Appear at TPAMI 2022. arXiv admin note: substantial text overlap with arXiv:2107.14230

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers

Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli

Comments Accepted for publications in IEEE TPAMI journal

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9944-9959, 1 Dec. 2022

BoostTree and BoostForest for Ensemble Learning

Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Learning to See Through with Events

Lei Yu, Xiang Zhang, Wei Liao, Wen Yang, Gui-Song Xia

Comments Accepted by IEEE TPAMI. arXiv admin note: text overlap with arXiv:2103.02376

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu

Comments Under review. Submitted to TPAMI on June 10, 2022. Major revision on September 4, 2022

Trifocal Relative Pose from Lines at Points and its Efficient Solution

Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret Regan, David da Costa de Pinho, Elias Tsigaridas, Charles Wampler, Jonathan Hauenstein, Benjamin Kimia, Anton Leykin, Tomas Pajdla

Comments First appeared at CVPR - Computer Vision and Pattern Recognition Conference 2020. This material is based upon work supported by the National Science Foundation under Grant No. DMS-1439786 while most authors were in residence at Brown University's Institute for Computational and Experimental Research in Mathematics -- ICERM, in Providence, RI

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, preprint available December 2022

A Survey on Deep Learning Technique for Video Segmentation

Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool, Wenguan Wang

Comments Accepted by TPAMI. Website: https://github.com/tfzhou/VS-Survey