IEEE TPAMI

Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals

Radu Horaud, Matti Niskanen, Guillaume Dewaele, Edmond Boyer

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1) 2009

No One Left Behind: Real-World Federated Class-Incremental Learning

Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 (TPAMI 2023)

Human Motion Generation: A Survey

Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang

Comments Accepted to TPAMI

Robust Reflection Removal with Flash-only Cues in the Wild

Chenyang Lei, Xudong Jiang, Qifeng Chen

Comments Extension of CVPR 2021 paper [arXiv:2103.04273], submitted to TPAMI. Our source code and dataset are publicly available at http://github.com/ChenyangLEI/flash-reflection-removal

Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning

Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali

Comments Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume: 45, Issue: 12, December 2023); Extended version of our conference paper, arXiv link: arXiv:2110.00249

Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms

Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang

Comments Accepted by IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). This article is an extension of the NeurIPS'22 paper arXiv:2206.08361

Node-oriented Spectral Filtering for Graph Neural Networks

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao

Comments 15 pages, 10 figures, accepted by TPAMI

Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding

Fengyuan Shi, Ruopeng Gao, Weilin Huang, Limin Wang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) in October 2023

Temporal Action Segmentation: An Analysis of Modern Techniques

Guodong Ding, Fadime Sener, Angela Yao

Comments 19 pages, 9 figures, 8 tables, TPAMI 2023

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel Valstar

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence

RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features

Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung

Comments TPAMI journal extension of ECCV 2022 arXiv:2203.16482

Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization

Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Yongjian Hu, Alex C. Kot

Comments Accepted by TPAMI. This work is an extension of our ICCV 2021 paper [arXiv:2108.01959] https://openaccess.thecvf.com/content/ICCV2021/html/Yang_Skeleton_Cloud_Colorization_for_Unsupervised_3D_Action_Representation_Learning_ICCV_2021_paper.html

An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li

Comments Accepted version of the journal extension of M^2-Track. Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:2203.01730

A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries?

Zhuomin Zhang, Elizabeth C. Mansfield, Jia Li, John Russell, George S. Young, Catherine Adams, James Z. Wang

Comments Supplementary materials are available from the authors or http://wang.ist.psu.edu

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Dataset Distillation: A Comprehensive Review

Ruonan Yu, Songhua Liu, Xinchao Wang

Comments Accepted by TPAMI

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry

Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu

Comments The version of IEEE Transactions on Pattern Analysis and Machine Intelligence

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes

Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian Reid, Chunhua Shen

Comments Accepted for publication in TPAMI; The code will be available at https://github.com/JiawangBian/sc_depth_pl

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection

Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah

Comments Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence

Towards Large-Scale Small Object Detection: Survey and Benchmarks

Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing Xie, Junwei Han

Comments in IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 11, pp. 13467-13488, 1 Nov. 2023

Reconstruction guided Meta-learning for Few Shot Open Set Recognition

Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury

Comments Accepted for publication in IEEE Transactions in Pattern Analysis and Machine Intelligence (TPAMI)

Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory

Danpei Zhao, Bo Yuan, Zhenwei Shi

Journal ref IEEE TPAMI 2023

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation

Lukas Hoyer, Dengxin Dai, Luc Van Gool

Comments TPAMI 2023. arXiv admin note: text overlap with arXiv:2111.14887, arXiv:2204.13132

DreamStone: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu

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

PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

Comments 32 pages, 8 figures

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

End-to-end One-shot Human Parsing

Haoyu He, Bohan Zhuang, Jing Zhang, Jianfei Cai, Dacheng Tao

Comments Accepted to IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein

Journal ref IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) vol. 45 (2023) pp. 657 - 668

t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators

Tomi Kinnunen, Kong Aik Lee, Hemlata Tak, Nicholas Evans, Andreas Nautsch

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence. For associated codes, see https://github.com/TakHemlata/T-EER (Github) and https://colab.research.google.com/drive/1ga7eiKFP11wOFMuZjThLJlkBcwEG6_4m?usp=sharing (Google Colab)

SERE: Exploring Feature Self-relation for Self-supervised Transformer

Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng

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

Journal ref 10.1109/TPAMI.2023.3309979

Contextualizing Meta-Learning via Learning to Decompose

Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan

Comments Accepted to TPAMI. Code is available at: https://github.com/zhoudw-zdw/TPAMI-LeadNet