IEEE TPAMI

Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach

Xi Peng, Fengchun Qiao, Long Zhao

Comments 13 pages, 11 figures, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2003.13216

Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification

Zequn Qin, Pengyi Zhang, Xi Li

Comments TPAMI 2022

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang

Comments Accepted by TPAMI. This paper is a journal extension of our CVPR 2021 paper (arXiv:2101.00910)

Graphical Modeling for Multi-Source Domain Adaptation

Minghao Xu, Hang Wang, Bingbing Ni

Comments Accepted by TPAMI. Code is available at https://github.com/Francis0625/Graphical-Modeling-for-Multi-Source-Domain-Adaptation

Adversarial Robustness via Fisher-Rao Regularization

Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence (Early Access)

Salient Object Detection via Integrity Learning

Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao

Comments TPAMI accepted

Globally-Optimal Contrast Maximisation for Event Cameras

Xin Peng, Ling Gao, Yifu Wang, Laurent Kneip

Comments arXiv admin note: substantial text overlap with arXiv:2203.03914

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

Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks

Han-Jia Ye, Lu Han, De-Chuan Zhan

Comments Accepted to IEEE TPAMI. Code is available at https://github.com/hanlu-nju/revisiting-UML

EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset

Kaihao Zhang, Dongxu Li, Wenhan Luo, Jingyu Liu, Jiankang Deng, Wei Liu, Stefanos Zafeiriou

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

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

Heng Yang, Luca Carlone

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence

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

Continual Learning for Blind Image Quality Assessment

Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma

Comments Accepted to IEEE TPAMI

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation

Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin

Comments This paper has been accepted to TPAMI

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

Comments TPAMI

Meta Balanced Network for Fair Face Recognition

Mei Wang, Yaobin Zhang, Weihong Deng

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

Learning general and distinctive 3D local deep descriptors for point cloud registration

Fabio Poiesi, Davide Boscaini

Comments Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence

Differentiable Graph Module (DGM) for Graph Convolutional Networks

Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael Bronstein

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

ResLT: Residual Learning for Long-tailed Recognition

Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia

Comments TPAMI 2022

Learning to Answer Visual Questions from Web Videos

Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

Comments Accepted at the TPAMI Special Issue on the Best Papers of ICCV 2021. Journal extension of the conference paper arXiv:2012.00451. 16 pages, 13 figures

DeepTag: A General Framework for Fiducial Marker Design and Detection

Zhuming Zhang, Yongtao Hu, Guoxing Yu, Jingwen Dai

Comments accepted to IEEE TPAMI

ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks

Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao

Comments Accepted for publication by the IEEE Transactions on Pattern Analysis and Machine Intelligence (May, 2022)

Adaptation Strategies for Automated Machine Learning on Evolving Data

Bilge Celik, Joaquin Vanschoren

Comments 12 pages, 7 figures (14 counting subfigures), submitted to TPAMI - AutoML Special Issue

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

Comments Accepted by TPAMI

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

Yu Cheng, Bo Wang, Robby T. Tan

Comments Accepted by TPAMI 2022. arXiv admin note: substantial text overlap with arXiv:2104.01797

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks

Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong

Comments 109 pages, 16 figures; this is a draft and the final version has been accepted by TPAMI (DOI: 10.1109/TPAMI.2022.3172214)

Generalized Knowledge Distillation via Relationship Matching

Han-Jia Ye, Su Lu, De-Chuan Zhan

Comments This manuscript has been accepted by TPAMI

Learning Enriched Features for Fast Image Restoration and Enhancement

Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao

Comments This article supersedes arXiv:2003.06792. Accepted for publication in TPAMI

Stochastic Video Prediction with Structure and Motion

Adil Kaan Akan, Sadra Safadoust, Fatma Güney

Comments Under review at TPAMI

Optimal Transport for Unsupervised Denoising Learning

Wei Wang, Fei Wen, Zeyu Yan, Peilin Liu

Comments Published in IEEE TPAMI, DOI: 10.1109/TPAMI.2022.3170155, https://ieeexplore.ieee.org/document/9763342 (40 pages, 33 figures)

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) 1-1

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He

Comments 15 pages, 12 figures, 11 tables, accepted by TPAMI

Reinforced Causal Explainer for Graph Neural Networks

Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua

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