IEEE TPAMI

Earning Extra Performance from Restrictive Feedbacks

Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang

Comments Accepted by IEEE TPAMI in April 2023

Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

Comments This paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2006.08267

Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions

Min Ren, Yunlong Wang, Yuhao Zhu, Kunbo Zhang, Zhenan Sun

Comments Accepted by TPAMI

Unifying Flow, Stereo and Depth Estimation

Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger

Comments TPAMI 2023, Project Page: https://haofeixu.github.io/unimatch, Code: https://github.com/autonomousvision/unimatch, Demo: https://huggingface.co/spaces/haofeixu/unimatch

Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition

Cheng Da, Peng Wang, Cong Yao

Comments submitted to TPAMI; an extension to our previous ECCV 2022 paper arXiv:2209.03592

Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis

Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool

Comments Accepted to TPAMI, an extended version of a paper published in ICLR2023. arXiv admin note: substantial text overlap with arXiv:2003.13898

Facial Video-based Remote Physiological Measurement via Self-supervised Learning

Zijie Yue, Miaojing Shi, Shuai Ding

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen

Comments Accepted by TPAMI 2022 and CVPR 2021

Journal ref IEEE.Trans.Pattern.Anal.Mach.Intell. Oct. 21 (2002)

CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning

Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook

Comments Accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence

RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2204.01320

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan

Comments Accepted at IEEE TPAMI in 2023. Code url: https://github.com/OpenDriveLab/HDGT

Exploiting Field Dependencies for Learning on Categorical Data

Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence (submitted June 2022, accepted July 2023)

Surface Geometry Processing: An Efficient Normal-based Detail Representation

Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang

Comments 16 pages, 22 figures

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

Aberration-Aware Depth-from-Focus

Xinge Yang, Qiang Fu, Mohammed Elhoseiny, Wolfgang Heidrich

Comments [ICCP & TPAMI 2023] Considering optical aberrations during network training can improve the generalizability

Rank-based Decomposable Losses in Machine Learning: A Survey

Shu Hu, Xin Wang, Siwei Lyu

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

Regularization of Mixture Models for Robust Principal Graph Learning

Tony Bonnaire, Aurélien Decelle, Nabila Aghanim

Comments 12 pages, 6 figures

Journal ref in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9119-9130, 1 Dec. 2022

Unbiased Scene Graph Generation via Two-stage Causal Modeling

Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu

Comments 17 pages, 9 figures. Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan

Comments Accepted by TPAMI-IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2108.08012

A Survey on Visual Transformer

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

Comments Accepted by TPAMI 2022

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

Comments To appear in TPAMI 2023. In the experiments, our trained agent achieves the new state-of-the-art under various experimental settings and possesses the advantage of sample-efficiency and robustness compared to other existing MDA methods

Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach

Raed Kontar, Garvesh Raskutti, Shiyu Zhou

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

An Energy-Based Prior for Generative Saliency

Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li

Comments Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence 2023. arXiv admin note: text overlap with arXiv:2112.13528

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring

Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister

Comments Accepeted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Code is available at https://github.com/siyuhuang/Latent-Space-Anchoring

3D-Aware Adversarial Makeup Generation for Facial Privacy Protection

Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong

Comments Accepted by TPAMI 2023

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering

Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI 2023. (Extension of CVPR'20 work). arXiv admin note: text overlap with arXiv:2003.06576

Learning Probabilistic Coordinate Fields for Robust Correspondences

Weiyue Zhao, Hao Lu, Xinyi Ye, Zhiguo Cao, Xin Li

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses

Jing Jin, Mantang Guo, Junhui Hou, Hui Liu, Hongkai Xiong

Comments Accepted by IEEE TPAMI. arXiv admin note: text overlap with arXiv:1907.09640

Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding

Bowen Xing, Ivor W. Tsang

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). arXiv admin note: substantial text overlap with arXiv:2203.03856

Adaptive Siamese Tracking with a Compact Latent Network

Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao

Comments Accepted at TPAMI

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

A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition

Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang

Comments Accepted to TPAMI 2023