IEEE TPAMI

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia

Comments Accepted to IEEE TPAMI; Code is available at https://github.com/IceTTTb/NopeSAC

Hierarchical Optimization-Derived Learning

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

Comments Accepted by IEEE TPAMI, 16 pages

Dawn of the transformer era in speech emotion recognition: closing the valence gap

Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, Maximilian Schmitt, Felix Burkhardt, Florian Eyben, Björn W. Schuller

Journal ref in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 9, pp. 10745-10759, 1 Sept. 2023

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design

Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

Comments Submitted to TPAMI

Generalised Mutual Information: a Framework for Discriminative Clustering

Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso

Comments Submitted for review at the IEEE Transactions on Pattern Analysis and Machine Intelligence. This article is an extension of an original NeurIPS 2022 article [arXiv:2210.06300]

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning

Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr

Comments Journal extension of arXiv:2003.01663; Accepted by IEEE TPAMI; Code is available at https://github.com/cherubicxn/hawp

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

Comments Accepted in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). arXiv admin note: text overlap with arXiv:2106.14112

Evaluating the Generalization Ability of Super-Resolution Networks

Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong

Comments Accepted by TPAMI

Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

Mohsen Zand, Ali Etemad, Michael Greenspan

Comments 13 pages, LaTeX; typos corrected, updated, in IEEE Transactions on Pattern Analysis and Machine Intelligence

SPTS v2: Single-Point Scene Text Spotting

Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

Comments Accepted for publication in TPAMI 2023. arXiv admin note: text overlap with arXiv:2112.07917

Lottery Jackpots Exist in Pre-trained Models

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji

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

Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang

Comments Accepted by IEEE TPAMI, extended version of conference paper arXiv:2110.04202

Momentum-Net: Fast and convergent iterative neural network for inverse problems

Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler

Comments 28 pages, 13 figures, 3 algorithms, 4 tables, submitted revision to IEEE T-PAMI

Journal ref IEEE Trans. Pattern Anal. Mach. Intell., 45(5):4915-4931, Apr. 2023

Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation

Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci

Comments TPAMI. arXiv admin note: text overlap with arXiv:2207.09778

Dual Compensation Residual Networks for Class Imbalanced Learning

Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen

Comments 20 pages

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

Defensive Few-shot Learning

Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

Multimodal Image Synthesis and Editing: The Generative AI Era

Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric Xing

Comments TPAMI 2023

Coarse-to-Fine Multi-Scene Pose Regression with Transformers

Yoli Shavit, Ron Ferens, Yosi Keller

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). arXiv admin note: substantial text overlap with arXiv:2103.11468

Towards Real-World Visual Tracking with Temporal Contexts

Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu

Comments Accepted by IEEE TPAMI, Code: https://github.com/vision4robotics/TCTrack

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

Minguk Kang, Joonghyuk Shin, Jaesik Park

Comments 32 pages, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, 2023)

Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis

Maciej Besta, Torsten Hoefler

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

On the Power of Gradual Network Alignment Using Dual-Perception Similarities

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

Comments 16 pages, 11 figures, 4 tables; 13 pages, to appear in the IEEE Transactions on Pattern Analysis and Machine Intelligence (Please cite our journal version that will appear in an upcoming issue.)

RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs

Zhouxia Wang, Jiawei Zhang, Tianshui Chen, Wenping Wang, Ping Luo

Comments Submitted to TPAMI. An extension of RestoreFormer

SODFormer: Streaming Object Detection with Transformer Using Events and Frames

Dianze Li, Jianing Li, Yonghong Tian

Comments 18 pages, 15 figures, in IEEE Transactions on Pattern Analysis and Machine Intelligence

GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer

Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu

Comments Accepted by TPAMI. Extended version of our CVPR 2022 paper [arXiv:2202.06688]

Automated extraction of mutual independence patterns using Bayesian comparison of partition models

Guillaume Marrelec, Alain Giron

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

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 43(7), 2299-2313 (2021)

Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup

Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence

Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding

Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi

Comments submit to TPAMI

Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching

Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang

Comments Accepted by TPAMI

Generative Multi-Label Zero-Shot Learning

Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer

Comments Accepted by TPAMI: https://ieeexplore.ieee.org/document/10184028