IEEE TPAMI

Active Image Synthesis for Efficient Labeling

Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

Cross-Modal Progressive Comprehension for Referring Segmentation

Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li

Comments Accepted by TPAMI 2021

DeepGCNs: Making GCNs Go as Deep as CNNs

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem

Comments Accepted at TPAMI. This work is a journal extension of our ICCV'19 paper arXiv:1904.03751. The first three authors contributed equally

From Handcrafted to Deep Features for Pedestrian Detection: A Survey

Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao

Comments IEEE TPAMI, Projects: https://github.com/JialeCao001/PedSurvey

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Boundary-Aware Segmentation Network for Mobile and Web Applications

Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jagersand, Ling Shao

Comments 18 pages, 16 figures, submitted to TPAMI

Reconstructive Sequence-Graph Network for Video Summarization

Bin Zhao, Haopeng Li, Xiaoqiang Lu, Xuelong Li

Comments Accepted by IEEE TPAMI 2021

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao

Comments Accepted Version to IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching

Runzhong Wang, Junchi Yan, Xiaokang Yang

Comments Accepted by TPAMI

PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond

Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo

Comments TPAMI 2021 Accepted

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu

Comments To appear at TPAMI 2021, code is available https://github.com/tzt101/CLADE.git

Continual Adaptation for Deep Stereo

Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano

Comments Extended version of CVPR 2019 paper "Real-time self-adaptive deep stereo" - Accepted to TPAMI

Deep Hough Transform for Semantic Line Detection

Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng

Comments https://github.com/Hanqer/deep-hough-transform

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream

Zhuo Su, Lan Xu, Dawei Zhong, Zhong Li, Fan Deng, Shuxue Quan, Lu Fang

Comments 16 pages, 18 figures. Under review by IEEE TPAMI

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

Comments TPAMI 2021. Journal extension of arXiv:1905.00953. Updates: added appendix. arXiv admin note: text overlap with arXiv:1905.00953

Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network

Gaochang Wu, Yebin Liu, Lu Fang, Tianyou Chai

Comments 15 pages, 12 figures. Accepted by IEEE TPAMI

Journal ref IEEE TPAMI, 2021

Sparse SVM for Sufficient Data Reduction

Shenglong Zhou

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

A Review on Deep Learning Techniques for Video Prediction

Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Antonis Argyros

Comments Submitted to TPAMI

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning

Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) 1-1

MonoGRNet: A General Framework for Monocular 3D Object Detection

Zengyi Qin, Jinglu Wang, Yan Lu

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

Weakly Supervised Object Localization and Detection: A Survey

Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted

A continual learning survey: Defying forgetting in classification tasks

Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

Comments Accepted TPAMI paper, including Appendix, code publicly available

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning

Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim

Comments Submitted to TPAMI, 14pages. arXiv admin note: substantial text overlap with arXiv:2007.08294

Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation

Sourabh Balgi, Ambedkar Dukkipati

Comments 18 pages. arXiv admin note: text overlap with arXiv:1909.03442

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Transferable Interactiveness Knowledge for Human-Object Interaction Detection

Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Xijie Huang, Liang Xu, Cewu Lu

Comments TPAMI version of our CVPR2019 paper with a new benchmark PaStaNet-HOI. Code: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network. arXiv admin note: substantial text overlap with arXiv:1811.08264

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

Robust Differentiable SVD

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) PREPRINT 2021

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning

Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

Comments 16 pages

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos

Comments This article has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Sample-Efficient Neural Architecture Search by Learning Action Space

Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian

Comments Accepted at TPAMI-2021

On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey

Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia

Comments Accepted to TPAMI. Paper version of our CVPR 2019 tutorial: "Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges" (https://sites.google.com/view/cvpr-2019-depth-from-image/home)

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia

Comments TPAMI final version