IEEE TPAMI

Event-based Background-Oriented Schlieren

Shintaro Shiba, Friedhelm Hamann, Yoshimitsu Aoki, Guillermo Gallego

Comments Accepted at IEEE T-PAMI

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

Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow

Zelin Zhang, Anthony Yezzi, Guillermo Gallego

Comments 22 pages, 26 figures, 5 tables, 6 animations when clicked on

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 7, pp. 8372-8389, July 2023

Adaptive Perturbation for Adversarial Attack

Zheng Yuan, Jie Zhang, Zhaoyan Jiang, Liangliang Li, Shiguang Shan

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 18 pages, 7 figures, 14 tables

Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data

Tongyi Liang, Han-Xiong Li

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

Salient Objects in Clutter

Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

Comments 349 references, 20 pages, survey 201 models, benchmark 100 models. Online benchmark: https://github.com/DengPingFan/SODBenchmark

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 45(2): 2344-2366

Concealed Object Detection

Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao

Comments 17 pages, 27 figures, Code: https://github.com/GewelsJI/SINet-V2

Journal ref IEEE transactions on pattern analysis and machine intelligence, 2022, 44(10): 6024-6042

Re-thinking Co-Salient Object Detection

Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen

Comments 22pages, 18 figures. CVPR2020-CoSOD3K extension. Code: https://github.com/DengPingFan/CoEGNet

Journal ref IEEE transactions on pattern analysis and machine intelligence, 2022, 44(8): 4339-4354

Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

Zhaodong Sun, Xiaobai Li

Comments Accepted by TPAMI

Robust Visual Question Answering: Datasets, Methods, and Future Challenges

Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao

Comments Accepted by IEEE TPAMI

SpectralGPT: Spectral Remote Sensing Foundation Model

Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot

Comments Accepted by IEEE TPAMI

Dense Continuous-Time Optical Flow from Events and Frames

Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters

Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte, Rejean Plamondon

Comments Accepted Version published by Transactions on Pattern Analysis and Machine Intelligence

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1); p.p. 114-125, 2020

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

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

Comments 8 pages, 4 figures, 6 tables. Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

Learnable Graph Matching: A Practical Paradigm for Data Association

Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang

Comments Accepted by TPAMI 2024. arXiv admin note: substantial text overlap with arXiv:2103.16178

A Comprehensive Survey of Continual Learning: Theory, Method and Application

Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu

Comments The concise version is in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning

Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu

Comments We design a novel lightweight convolutional operator for computer vision tasks. Both full-precision networks and BNNs are developed. Accepted by TPAMI

CPR++: Object Localization via Single Coarse Point Supervision

Xuehui Yu, Pengfei Chen, Kuiran Wang, Xumeng Han, Guorong Li, Zhenjun Han, Qixiang Ye, Jianbin Jiao

Comments Accpted by TPAMI 2024

Learning Interpretable Rules for Scalable Data Representation and Classification

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Comments Accepted by IEEE TPAMI in October 2023; Interpretable ML; Neuro-Symbolic AI; Preliminary conference version (NeurIPS 2021) available at arXiv:2109.15103

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 46, Issue: 2, February 2024)

Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano

Comments Extension of the paper "Open Challenges in Deep Stereo: the Booster Dataset" presented at CVPR 2022. Accepted at TPAMI

Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez

Comments arXiv admin note: text overlap with arXiv:2109.03645

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 46, Issue: 2, February 2024)

Contrastive Masked Autoencoders are Stronger Vision Learners

Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng

Comments Accepted by TPAMI

SGTR+: End-to-end Scene Graph Generation with Transformer

Rongjie Li, Songyang Zhang, Xuming He

Comments Accepted by TPAMI: https://ieeexplore.ieee.org/document/10315230

Hierarchical Prompts for Rehearsal-free Continual Learning

Yukun Zuo, Hantao Yao, Lu Yu, Liansheng Zhuang, Changsheng Xu

Comments Submitted to TPAMI

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang

Comments Accepted by TPAMI. Code, data: https://github.com/leonnnop/Locater

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation

Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren

Comments Published in IEEE TPAMI. Minor revision compared to the previous version

Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation

Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool

Comments Accepted to TPAMI, an extended version of a paper published in CVPR2023. arXiv admin note: substantial text overlap with arXiv:2303.08225

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele

Comments Extension of B-cos Networks: Alignment is All We Need for Interpretability (Böhle et al., CVPR 2022). Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2205.10268

Pruning Self-attentions into Convolutional Layers in Single Path

Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang

Comments Accepted by TPAMI 2024

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Moritz Böhle, Mario Fritz, Bernt Schiele

Comments Extension of "Convolutional Dynamic Alignment Networks for Interpretable Classifications" (Böhle et al., CVPR 2021). arXiv admin note: substantial text overlap with arXiv:2104.00032

Journal ref Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume 45, Issue: 6, 01 June 2023, Page(s): 7625 - 7638)

NAAQA: A Neural Architecture for Acoustic Question Answering

Jerome Abdelnour, Jean Rouat, Giampiero Salvi

Comments Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) in April 2021 (first revision February 2022)

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, Volume: 45 Issue: 4, Page(s): 4997-5009