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ORCIDIEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 44
Volume 44, Number 1, January 2022
- Sven J. Dickinson
:
State of the Journal Editorial. 1-10
- Kyoung Mu Lee:
Editorial. 11-12 - Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. 13-31 - Benson Shu Yan Lam, Alan Wee-Chung Liew:
A Fast Binary Quadratic Programming Solver Based on Stochastic Neighborhood Search. 32-49 - Shichen Liu, Tianye Li, Weikai Chen, Hao Li:
A General Differentiable Mesh Renderer for Image-Based 3D Reasoning. 50-62 - Xudong Pan, Mi Zhang, Daizong Ding, Min Yang:
A Geometrical Perspective on Image Style Transfer With Adversarial Learning. 63-75 - Siwei Lyu, Yanbo Fan, Yiming Ying, Bao-Gang Hu:
Average Top-k Aggregate Loss for Supervised Learning. 76-86 - Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen:
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds. 87-99 - Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection. 100-113 - Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, Yasuyuki Matsushita:
Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances. 114-128 - Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Deep Photometric Stereo for Non-Lambertian Surfaces. 129-142 - Gabriel della Maggiora, Carlos Castillo-Passi, Wenqi Qiu, Shuang Liu, Carlos Milovic, Masaki Sekino, Cristian Tejos, Sergio Uribe, Pablo Irarrazaval:
DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification Using Deep Learning in Magnetic Resonance Imaging. 143-153 - Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-Based Vision: A Survey. 154-180 - Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. 181-195 - Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong:
Homography-Based Minimal-Case Relative Pose Estimation With Known Gravity Direction. 196-210 - Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. 211-227 - R. T. Pramod, S. P. Arun:
Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification. 228-241 - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Networks. 242-255 - Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. 256-272 - Linchao Zhu, Yi Yang:
Label Independent Memory for Semi-Supervised Few-Shot Video Classification. 273-285 - Bing Su, Ying Wu:
Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. 286-301 - Yong Li, Jiabei Zeng, Shiguang Shan:
Learning Representations for Facial Actions From Unlabeled Videos. 302-317 - Liang Peng, Yang Yang, Zheng Wang, Zi Huang, Heng Tao Shen:
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network. 318-329 - Xuelong Li, Han Zhang, Rong Wang, Feiping Nie:
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method. 330-344 - Ziyuan Zhang, Luan Tran, Feng Liu, Xiaoming Liu:
On Learning Disentangled Representations for Gait Recognition. 345-360 - Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman:
Real-Time High Speed Motion Prediction Using Fast Aperture-Robust Event-Driven Visual Flow. 361-372 - Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, Sebastian A. Scherer:
RGB-D SLAM in Dynamic Environments Using Point Correlations. 373-389 - Qi Wang, Xiang He, Xu Jiang, Xuelong Li:
Robust Bi-Stochastic Graph Regularized Matrix Factorization for Data Clustering. 390-403 - Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota:
Scalable and Practical Natural Gradient for Large-Scale Deep Learning. 404-415 - Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. 416-427 - Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim:
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation. 428-441 - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Space-Time Memory Networks for Video Object Segmentation With User Guidance. 442-455 - Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. 456-473 - Jian Zhao, Shuicheng Yan, Jiashi Feng:
Towards Age-Invariant Face Recognition. 474-487 - Junxi Zhu, Spencer Teolis, Nadia Biassou, Amy Tabb, Pierre-Emmanuel Jabin, Orit Lavi:
Tracking the Adaptation and Compensation Processes of Patients' Brain Arterial Network to an Evolving Glioblastoma. 488-501 - Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling:
U2Fusion: A Unified Unsupervised Image Fusion Network. 502-518 - Antonio Agudo:
Unsupervised 3D Reconstruction and Grouping of Rigid and Non-Rigid Categories. 519-532 - Chengzhang Zhu, Longbing Cao, Jianping Yin:
Unsupervised Heterogeneous Coupling Learning for Categorical Representation. 533-549 - Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. 550-557
Volume 44, Number 2, February 2022
- Jingdong Wang, Zhuowen Tu, Jianlong Fu, Nicu Sebe, Serge J. Belongie:
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization. 560-562 - Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao:
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. 563-578 - Junwei Han, Xiwen Yao, Gong Cheng, Xiaoxu Feng, Dong Xu:
P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization. 579-590 - Piotr Koniusz, Hongguang Zhang:
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification. 591-609 - Si Liu, Guanghui Ren, Yao Sun, Jinqiao Wang, Changhu Wang, Bo Li, Shuicheng Yan:
Fine-Grained Human-Centric Tracklet Segmentation with Single Frame Supervision. 610-621 - Jianing Li, Shiliang Zhang, Qi Tian, Meng Wang, Wen Gao:
Pose-Guided Representation Learning for Person Re-Identification. 622-635 - Jinhui Tang, Xiangbo Shu, Rui Yan, Liyan Zhang:
Coherence Constrained Graph LSTM for Group Activity Recognition. 636-647 - Piotr Koniusz, Lei Wang, Anoop Cherian:
Tensor Representations for Action Recognition. 648-665 - Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zheng Zhang, Shuo Cheng, Qi Tian, Yi Xu, Xiaokang Yang, Wenjun Zhang:
Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning. 666-683 - Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. 684-696 - Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. 697-709 - Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. 710-722 - Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. 723-726 - Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Constraint-Based Propagation in Graph Neural Networks. 727-739 - Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. 740-757 - Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli:
On Inductive-Transductive Learning With Graph Neural Networks. 758-769 - Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. 770-782 - Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock:
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. 783-798 - Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. 799-810 - Stefan Sommer, Alex M. Bronstein:
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning. 811-822 - Monami Banerjee, Rudrasis Chakraborty, Jose Bouza, Baba C. Vemuri:
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. 823-833 - Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, Kuk-Jin Yoon:
SpherePHD: Applying CNNs on 360${}^\circ$∘ Images With Non-Euclidean Spherical PolyHeDron Representation. 834-847 - Naima Otberdout, Mohamed Daoudi, Anis Kacem, Lahoucine Ballihi, Stefano Berretti:
Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets. 848-863 - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis. 864-876 - Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh:
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. 877-889 - Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li:
A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis. 890-904 - Mohamed A. Helala, Faisal Z. Qureshi, Ken Q. Pu:
A Stream Algebra for Performance Optimization of Large Scale Computer Vision Pipelines. 905-923 - Mang Ye, Jianbing Shen, Xu Zhang, Pong C. Yuen, Shih-Fu Chang:
Augmentation Invariant and Instance Spreading Feature for Softmax Embedding. 924-939 - Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha:
Deep Visual Odometry With Adaptive Memory. 940-954 - Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. 955-968 - Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia:
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. 969-984 - Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Nanning Zheng, Fang Wen:
Group Sampling for Scale Invariant Face Detection. 985-1001 - Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. 1002-1019 - Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. 1020-1034 - Qingzhong Wang, Jia Wan, Antoni B. Chan:
On Diversity in Image Captioning: Metrics and Methods. 1035-1049 - Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia:
Prior Guided Feature Enrichment Network for Few-Shot Segmentation. 1050-1065 - Minh Vo, Yaser Sheikh, Srinivasa G. Narasimhan:
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild. 1066-1080 - Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Truncated Robust Principle Component Analysis With A General Optimization Framework. 1081-1097 - Ali Mousavi, Richard G. Baraniuk:
Uniform Partitioning of Data Grid for Association Detection. 1098-1107 - Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT++ Better Real-Time Instance Segmentation. 1108-1121 - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Erratum to "Deep Back-Projection Networks for Single Image Super-Resolution". 1122
Volume 44, Number 3, March 2022
- Weinan E, Yajun Zhou:
A Mathematical Model for Universal Semantics. 1124-1132 - Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang:
Active Surveillance via Group Sparse Bayesian Learning. 1133-1148 - Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon:
Building and Interpreting Deep Similarity Models. 1149-1161 - Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu:
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. 1162-1179 - Mohamed Ali Souibgui, Yousri Kessentini:
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement. 1180-1191 - Saeed Anwar, Nick Barnes:
Densely Residual Laplacian Super-Resolution. 1192-1204 - Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana:
Differential Viewpoints for Ground Terrain Material Recognition. 1205-1218 - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel López-Antequera, Peter Kontschieder:
Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition. 1219-1231 - Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. 1232-1246 - Haichuan Ma, Dong Liu, Ning Yan, Houqiang Li, Feng Wu:
End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform. 1247-1263 - John E. Ortega, Mikel L. Forcada, Felipe Sánchez-Martínez:
Fuzzy-Match Repair Guided by Quality Estimation. 1264-1277 - Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. 1278-1288 - Haoliang Li, Shiqi Wang, Renjie Wan, Alex C. Kot:
GMFAD: Towards Generalized Visual Recognition via Multilayer Feature Alignment and Disentanglement. 1289-1303 - Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang:
Grid Anchor Based Image Cropping: A New Benchmark and An Efficient Model. 1304-1319 - Tam Nguyen, Raviv Raich:
Incomplete Label Multiple Instance Multiple Label Learning. 1320-1337 - Son T. Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor T. A. Spence, Nhat-Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen:
Incremental Density-Based Clustering on Multicore Processors. 1338-1356 - Jia Wan, Qingzhong Wang, Antoni B. Chan:
Kernel-Based Density Map Generation for Dense Object Counting. 1357-1370 - Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. 1371-1384 - Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. 1385-1398 - Junghyup Lee, Dohyung Kim, Wonkyung Lee, Jean Ponce, Bumsub Ham:
Learning Semantic Correspondence Exploiting an Object-Level Prior. 1399-1414 - Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng:
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. 1415-1428 - Hai Ci, Xiaoxuan Ma, Chunyu Wang, Yizhou Wang:
Locally Connected Network for Monocular 3D Human Pose Estimation. 1429-1442 - Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. 1443-1456 - Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, Deyu Meng:
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. 1457-1473 - Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao:
Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification. 1474-1488 - Tianyang Shi, Zhengxia Zou, Zhenwei Shi, Yi Yuan:
Neural Rendering for Game Character Auto-Creation. 1489-1502 - Haoang Li, Ji Zhao, Jean-Charles Bazin, Yun-Hui Liu:
Quasi-Globally Optimal and Near/True Real-Time Vanishing Point Estimation in Manhattan World. 1503-1518 - Lei Han, Siyuan Gu, Dawei Zhong, Shuxue Quan, Lu Fang:
Real-Time Globally Consistent Dense 3D Reconstruction With Online Texturing. 1519-1533 - Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. 1534-1551 - Tobias Hinz, Stefan Heinrich, Stefan Wermter:
Semantic Object Accuracy for Generative Text-to-Image Synthesis. 1552-1565 - Sung Woo Park, Junseok Kwon:
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications. 1566-1580 - Hans Pinckaers, Bram van Ginneken, Geert Litjens:
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images. 1581-1590 - Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge. 1591-1603 - Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. 1604-1622 - René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. 1623-1637