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title: "IEEE Transactions on Pattern Analysis and Machine Intelligence"
description: "All 679 papers of IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 · page 7 of 7, the most cited first; those with our…"
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# IEEE Transactions on Pattern Analysis and Machine Intelligence 2023: all accepted papers

679 papers · page 7 of 7 · the most cited first · [← IEEE Transactions on Pattern Analysis and Machine Intelligence 2023](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/2023/papers/page/6/) [1](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/2023/papers/) … [6](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/2023/papers/page/6/) **7**

601. **[DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions ↗](https://doi.org/10.1109/tpami.2023.3335261)**Guangrun Wang, Changlin Li, Liuchun Yuan et al.*5 citations*
602. **[Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study From an Optimization Perspective ↗](https://doi.org/10.1109/tpami.2023.3285634)**Xin Li, Haojie Lei, Li Zhang et al.*5 citations*
603. **[Dimension Reduction With Prior Information for Knowledge Discovery ↗](https://doi.org/10.1109/tpami.2023.3346212)**Anh Tuan Bui*5 citations*
604. **[Discourse-Aware Graph Networks for Textual Logical Reasoning ↗](https://doi.org/10.1109/tpami.2023.3280178)**Yinya Huang, Lemao Liu, Kun Xu et al.*5 citations*
605. **[Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification ↗](https://doi.org/10.1109/tpami.2023.3288028)**Yan Xing, Yonghua Su, Wenxuan Ma*5 citations*
606. **[Exploiting Field Dependencies for Learning on Categorical Data ↗](https://doi.org/10.1109/tpami.2023.3298028)**Zhibin Li, Piotr Koniusz, Lu Zhang et al.*5 citations*
607. **[Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning ↗](https://doi.org/10.1109/tpami.2023.3285755)**Chenyou Fan, Junjie Hu, Jianwei Huang*5 citations*
608. **[Human Interaction Understanding With Consistency-Aware Learning ↗](https://doi.org/10.1109/tpami.2023.3280906)**Jiajun Meng, Zhenhua Wang, Kaining Ying et al.*5 citations*
609. **[Model-Based Reinforcement Learning With Isolated Imaginations ↗](https://doi.org/10.1109/tpami.2023.3335263)**Minting Pan, Xiangming Zhu, Yitao Zheng et al.*5 citations*
610. **[Noisy Label Learning With Provable Consistency for a Wider Family of Losses ↗](https://doi.org/10.1109/tpami.2023.3296156)**Defu Liu, Wen Li, Lixin Duan et al.*5 citations*
611. **[Prescribed Safety Performance Imitation Learning From a Single Expert Dataset ↗](https://doi.org/10.1109/tpami.2023.3287908)**Zhihao Cheng, Li Shen, Miaoxi Zhu et al.*5 citations*
612. **[Robust Meta-Representation Learning via Global Label Inference and Classification ↗](https://doi.org/10.1109/tpami.2023.3328184)**Ruohan Wang, Isak Falk, Massimiliano Pontil et al.*5 citations*
613. **[STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image ↗](http://dx.doi.org/10.1109/tpami.2023.3305630)**Tong Wu, Lin Gao, Lingxiao Zhang et al.*5 citations*
614. **[Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency ↗](https://doi.org/10.1109/tpami.2023.3273415)**Zhiwu Qing, Shiwei Zhang, Ziyuan Huang et al.*5 citations*
615. **[Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning ↗](https://doi.org/10.1109/tpami.2023.3273594)**Bingqian Lin, Yanxin Long, Yi Zhu et al.*5 citations*
616. **[Towards More Reliable Confidence Estimation ↗](https://doi.org/10.1109/tpami.2023.3291676)**Haoxuan Qu, Lin Geng Foo, Yanchao Li et al.*5 citations*
617. **[Using Zodiacal Light for Spaceborne Calibration of Polarimetric Imagers ↗](https://doi.org/10.1109/tpami.2023.3299526)**Or Avitan, Yoav Y. Schechner, Ehud Behar*5 citations*
618. **[Vertical Layering of Quantized Neural Networks for Heterogeneous Inference ↗](https://doi.org/10.1109/tpami.2023.3319045)**Wu Hai, Ruifei He, Haoru Tan et al.*5 citations*
619. **[A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles ↗](https://doi.org/10.1109/tpami.2023.3297022)**Wagner J. F. Silva, Pedro J. F. C. Souza, Renata M.C.R. de Souza et al.*4 citations*
620. **[CoReS: Compatible Representations via Stationarity ↗](https://doi.org/10.1109/tpami.2023.3259542)**Niccolò Biondi, Federico Pernici, Matteo Bruni et al.*4 citations*
621. **[Compressed-SDR to HDR Video Reconstruction ↗](http://dx.doi.org/10.1109/tpami.2023.3346921)**Hu Wang, Mao Ye, Xiatian Zhu et al.*4 citations*
622. **[DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling ↗](http://dx.doi.org/10.1109/tpami.2023.3298296)**Xiaoxing Wang, Zhirui Lian, Jiale Lin et al.*4 citations*
623. **[DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration ↗](https://doi.org/10.1109/tpami.2023.3317501)**Zexi Chen, Yiyi Liao, Haozhe Du et al.*4 citations*
624. **[Experimental Design for Overparameterized Learning With Application to Single Shot Deep Active Learning ↗](https://doi.org/10.1109/tpami.2023.3287042)**Neta Shoham, Haim Avron*4 citations*
625. **[GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold ↗](https://doi.org/10.1109/tpami.2023.3323069)**Guangyu Wang, Jinzhi Zhang, Kai Zhang et al.*4 citations*
626. **[Growing Like a Tree: Finding Trunks From Graph Skeleton Trees ↗](https://doi.org/10.1109/tpami.2023.3336315)**Zhongyu Huang, Yingheng Wang, Chaozhuo Li et al.*4 citations*
627. **[Hierarchical Optimization-Derived Learning ↗](https://doi.org/10.1109/tpami.2023.3315333)**Risheng Liu, Xuan Liu, Shangzhi Zeng et al.*4 citations*
628. **[Importance Weighted Structure Learning for Scene Graph Generation ↗](https://doi.org/10.1109/tpami.2023.3329339)**Daqi Liu, Miroslaw Z. Bober, Josef Kittler*4 citations*
629. **[Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects ↗](https://doi.org/10.1109/tpami.2022.3233431)**Feng Liu, Xiaoming Liu*4 citations*
630. **[Leveraging Commonsense for Object Localisation in Partial Scenes ↗](https://doi.org/10.1109/tpami.2023.3272523)**Francesco Giuliari, Geri Skenderi, Marco Cristani et al.*4 citations*
631. **[Mitigating AC and DC Interference in Multi-ToF-Camera Environments ↗](https://doi.org/10.1109/tpami.2023.3307564)**Jongho Lee, Mohit Gupta*4 citations*
632. **[Prioritized Subnet Sampling for Resource-Adaptive Supernet Training ↗](http://dx.doi.org/10.1109/tpami.2023.3265198)**Bohong Chen, Mingbao Lin, Rongrong Ji et al.*4 citations*
633. **[Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective ↗](https://doi.org/10.1109/tpami.2023.3321392)**Qilong Wang, Zhaolin Zhang, Mingze Gao et al.*4 citations*
634. **[Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics ↗](https://doi.org/10.1109/tpami.2023.3314670)**Hany Abdulsamad, Peter Nickl, Pascal Klink et al.*4 citations*
635. **[t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators ↗](https://doi.org/10.1109/tpami.2023.3313648)**Tomi Kinnunen, Kong Aik Lee, Hemlata Tak et al.*4 citations*
636. **[A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities ↗](https://doi.org/10.1109/tpami.2023.3341721)**Jiwoo Ryu, Scott C. Trager, Michael H. F. Wilkinson*3 citations*
637. **[An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks ↗](https://doi.org/10.1109/tpami.2023.3268640)**WeiQin Chuah, Ruwan Tennakoon, Reza Hoseinnezhad et al.*3 citations*
638. **[Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis ↗](https://doi.org/10.1109/tpami.2023.3335311)**Phong Nguyen-Ha, Lam Huynh, Esa Rahtu et al.*3 citations*
639. **[Cost Function Unrolling in Unsupervised Optical Flow ↗](https://doi.org/10.1109/tpami.2023.3327156)**Gal Lifshitz, Dan Raviv*3 citations*
640. **[HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input ↗](https://doi.org/10.1109/tpami.2023.3307152)**Chao Zhang, Stephan Liwicki, Sen He et al.*3 citations*
641. **[Information Bottleneck and Aggregated Learning ↗](http://dx.doi.org/10.1109/tpami.2023.3302150)**Masoumeh Soflaei, Richong Zhang, Hongyu Guo et al.*3 citations*
642. **[Informed Adaptive Sensing ↗](https://doi.org/10.1109/tpami.2023.3340990)**Amr Morssy, Marcus R. Frean, Paul D. Teal*3 citations*
643. **[LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features ↗](https://doi.org/10.1109/tpami.2023.3323698)**Yunrui Yu, Xitong Gao, Chengzhong Xu*3 citations*
644. **[Learning by Restoring Broken 3D Geometry ↗](https://doi.org/10.1109/tpami.2023.3263867)**Jinxian Liu, Bingbing Ni, Ye Chen et al.*3 citations*
645. **[PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison ↗](https://doi.org/10.1109/tpami.2023.3305381)**Hamish Flynn, David Reeb, Melih Kandemir et al.*3 citations*
646. **[Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations ↗](http://dx.doi.org/10.1109/tpami.2023.3303934)**Zhiyong Yang, Qianqian Xu, Wenzheng Hou et al.*3 citations*
647. **[SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics ↗](https://doi.org/10.1109/tpami.2023.3328453)**Fan Fei, Yean Cheng, Yongjie Zhu et al.*3 citations*
648. **[Shape-Based Measures Improve Scene Categorization ↗](https://doi.org/10.1109/tpami.2023.3333352)**Morteza Rezanejad, John Wilder, Dirk B. Walther et al.*3 citations*
649. **[Variational Nested Dropout ↗](https://doi.org/10.1109/tpami.2023.3241945)**Yufei Cui, Yu Peng Mao, Ziquan Liu et al.*3 citations*
650. **[Dual-Shutter Optical Vibration Sensing ↗](https://doi.org/10.1109/tpami.2023.3344650)**Mark Sheinin, Dorian Chan, Matthew O’Toole et al.*2 citations*
651. **[DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences ↗](https://doi.org/10.1109/tpami.2023.3316770)**Xinghui Li, Kai Han, Shuda Li et al.*2 citations*
652. **[Earning Extra Performance From Restrictive Feedbacks ↗](https://doi.org/10.1109/tpami.2023.3273249)**Jing Li, Yuangang Pan, Yueming Lyu et al.*2 citations*
653. **[Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations ↗](https://doi.org/10.1109/tpami.2023.3307592)**Pan Li He, Patrick Emami, Sanjay Ranka et al.*2 citations*
654. **[Learning Rates for Nonconvex Pairwise Learning ↗](http://dx.doi.org/10.1109/tpami.2023.3259324)**Shaojie Li, Yong Liu*2 citations*
655. **[Light Field Neural Rendering ↗](https://doi.org/10.1109/tpami.2023.3316992)**Mohammed Suhail, Carlos Esteves, Leonid Sigal et al.*2 citations*
656. **[NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering ↗](https://doi.org/10.1109/tpami.2023.3335353)**Yutao Liu, Li Wang, Jie Yang et al.*2 citations*
657. **[Object Affinity Learning: Towards Annotation-Free Instance Segmentation ↗](https://doi.org/10.1109/tpami.2023.3298351)**Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang*2 citations*
658. **[Properties of Standard and Sketched Kernel Fisher Discriminant ↗](https://doi.org/10.1109/tpami.2023.3242681)**Jiamin Liu, Wangli Xu, Fode Zhang et al.*2 citations*
659. **[Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation Tasks ↗](https://doi.org/10.1109/tpami.2023.3289308)**Chen-Hao Chao, Bo-Wun Cheng, Tzu-Wen Wang et al.*2 citations*
660. **[Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network ↗](http://dx.doi.org/10.1109/tpami.2023.3234026)**Xin Chen, Xuemei Hu, Tao Yue*2 citations*
661. **[Surface Geometry Processing: An Efficient Normal-Based Detail Representation ↗](https://doi.org/10.1109/tpami.2023.3296509)**Wuyuan Xie, Miaohui Wang, Di Lin et al.*2 citations*
662. **[Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders ↗](https://doi.org/10.1109/tpami.2023.3325282)**Kuo Gai, Shihua Zhang*2 citations*
663. **[An Energy-Based Prior for Generative Saliency ↗](http://dx.doi.org/10.1109/tpami.2023.3290610)**Jing Zhang, Jianwen Xie, Nick M. Barnes et al.*1 citation*
664. **[Back to Reality: Learning Data-Efficient 3D Object Detector With Shape Guidance ↗](http://dx.doi.org/10.1109/tpami.2023.3328880)**Xiuwei Xu, Ziwei Wang, Jie Zhou et al.*1 citation*
665. **[Editorial: Special Section on Egocentric Perception ↗](http://dx.doi.org/10.1109/tpami.2023.3256679)**Antonino Furnari, David Crandall, Dima Damen et al.*1 citation*
666. **[Learning Hidden Graphs From Samples ↗](https://doi.org/10.1109/tpami.2023.3283784)**Ahmad Abniki, Hamid Beigy A*1 citation*
667. **[MLink: Linking Black-Box Models From Multiple Domains for Collaborative Inference ↗](http://dx.doi.org/10.1109/tpami.2023.3283780)**Mu Yuan, Lan Zhang, Zimu Zheng et al.*1 citation*
668. **[Fine Detailed Texture Learning for 3D Meshes With Generative Models ↗](https://doi.org/10.1109/tpami.2023.3319429)**Ayşegül Dündar, Jun Gao, Andrew Tao et al.
669. **[Get Published in the New IEEE Open Journal of the Computer Society ↗](http://dx.doi.org/10.1109/tpami.2023.3325790)**
670. **[Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis ↗](http://dx.doi.org/10.1109/tpami.2023.3259779)**Song Bai, Philip H. S. Torr, Ranjay Krishna et al.
671. **[H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer ↗](http://dx.doi.org/10.1109/tpami.2023.3313311)**Boyan Jiang, Yinda Zhang, Jingyang Huo et al.
672. **[IEEE Computer Society Has You Covered! ↗](http://dx.doi.org/10.1109/tpami.2023.3325789)**
673. **[IEEE Quantum Week ↗](http://dx.doi.org/10.1109/tpami.2023.3276221)**
674. **[KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series ↗](http://dx.doi.org/10.1109/tpami.2023.3298592)**Víctor Corsino, José Manuel Gilpérez, Luis Herrera
675. **[Publications Seek 2025 Editors in Chief ↗](http://dx.doi.org/10.1109/tpami.2023.3325788)**
676. **[Reliability-Aware Restoration Framework for 4D Spectral Photoacoustic Data ↗](http://dx.doi.org/10.1109/tpami.2023.3310981)**Weihang Liao, Art Subpa-asa, Yuta Asano et al.
677. **[The Cluster Structure Function ↗](http://dx.doi.org/10.1109/tpami.2023.3264690)**Andrew R. Cohen, Paul M. B. Vitanyi
678. **[Tobias: A Random CNN Sees Objects ↗](https://doi.org/10.1109/tpami.2023.3329498)**Yun-Hao Cao, Jianxin Wu
679. **[Tree Recovery by Dynamic Programming ↗](http://dx.doi.org/10.1109/tpami.2023.3299868)**Gustavo Gratacós, Ayan Chakrabarti, Tao Ju

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