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ORCIDIEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 42
Volume 42, Number 1, January 2020
- Anis Kacem
, Mohamed Daoudi, Boulbaba Ben Amor, Stefano Berretti, Juan Carlos Álvarez Paiva:
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding. 1-14 - Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. 15-26 - Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Cooperative Training of Descriptor and Generator Networks. 27-45 - Qi Wang, Mulin Chen, Feiping Nie, Xuelong Li:
Detecting Coherent Groups in Crowd Scenes by Multiview Clustering. 46-58 - Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Discrete-Continuous Transformation Matching for Dense Semantic Correspondence. 59-73 - Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. 74-85 - Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. 86-99 - Naveed Akhtar, Ajmal Mian:
Hyperspectral Recovery from RGB Images using Gaussian Processes. 100-113 - Miguel A. Ferrer, Moisés Díaz, Cristina Carmona-Duarte, Réjean Plamondon:
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters. 114-125 - Jun Ye, Guo-Jun Qi, Naifan Zhuang, Hao Hu, Kien A. Hua:
Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All. 126-139 - Margret Keuper, Siyu Tang, Bjoern Andres, Thomas Brox, Bernt Schiele:
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering. 140-153 - Biao Zhang, Deyi Xiong, Jinsong Su:
Neural Machine Translation with Deep Attention. 154-163 - Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters:
Numerical Quadrature for Probabilistic Policy Search. 164-175 - Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. 176-191 - Ilya Chevyrev, Vidit Nanda, Harald Oberhauser:
Persistence Paths and Signature Features in Topological Data Analysis. 192-202 - Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. 203-220 - Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. 221-231 - Donghyeon Cho, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon:
Semi-Calibrated Photometric Stereo. 232-245 - Wolfgang Roth, Franz Pernkopf:
Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. 246-252
Volume 42, Number 2, February 2020
- Sven J. Dickinson:
State of the Journal Editorial. 253-260 - David Novotný, Diane Larlus, Andrea Vedaldi:
Capturing the Geometry of Object Categories from Video Supervision. 261-275 - Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof:
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly. 276-290 - Runze Zhang, Siyu Zhu, Tianwei Shen, Lei Zhou, Zixin Luo, Tian Fang, Long Quan:
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus. 291-303 - Nicholas Rhinehart, Kris M. Kitani:
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning. 304-317 - Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár:
Focal Loss for Dense Object Detection. 318-327 - Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li:
Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation. 328-342 - Adrian Bulat, Georgios Tzimiropoulos:
Hierarchical Binary CNNs for Landmark Localization with Limited Resources. 343-356 - Ayush Tewari, Michael Zollhöfer, Florian Bernard, Pablo Garrido, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder. 357-370 - Xuelin Qian, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification. 371-385 - Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick:
Mask R-CNN. 386-397 - Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue:
Object Detection from Scratch with Deep Supervision. 398-412 - Pau Panareda Busto, Ahsan Iqbal, Juergen Gall:
Open Set Domain Adaptation for Image and Action Recognition. 413-429 - Ludovic Magerand, Alessio Del Bue:
Revisiting Projective Structure from Motion: A Robust and Efficient Incremental Solution. 430-443 - Adam Polyak, Yaniv Taigman, Lior Wolf:
Unsupervised Generation of Free-Form and Parameterized Avatars. 444-459 - Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. 460-474 - Dingwen Zhang, Junwei Han, Le Yang, Dong Xu:
SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos. 475-489 - Koray Kayabol:
Approximate Sparse Multinomial Logistic Regression for Classification. 490-493 - Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot:
Feature Boosting Network For 3D Pose Estimation. 494-501 - Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. 502-508
Volume 42, Number 3, March 2020
- Karen Panetta, Arash Samani, Xin Yuan, Qianwen Wan, Sos S. Agaian, Srijith Rajeev, Shreyas Kamath K. M, Rahul Rajendran, Shishir Paramathma Rao, Aleksandra Kaszowska, Holly A. Taylor:
A Comprehensive Database for Benchmarking Imaging Systems. 509-520 - Yan Yang, Jian Sun, Huibin Li, Zongben Xu:
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. 521-538 - Yu Kong, Zhiqiang Tao, Yun Fu:
Adversarial Action Prediction Networks. 539-553 - Mahmudul Hasan, Sujoy Paul, Anastasios I. Mourikis, Amit K. Roy-Chowdhury:
Context-Aware Query Selection for Active Learning in Event Recognition. 554-567 - Frederick Tung, Greg Mori:
Deep Neural Network Compression by In-Parallel Pruning-Quantization. 568-579 - Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, Yap-Peng Tan:
Deep Variational and Structural Hashing. 580-595 - Guido Borghi, Matteo Fabbri, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Face-from-Depth for Head Pose Estimation on Depth Images. 596-609 - Yuhong Wei, Yang Tang, Paul D. McNicholas:
Flexible High-Dimensional Unsupervised Learning with Missing Data. 610-621 - Hyun Soo Park, Jianbo Shi:
Force from Motion: Decoding Control Force of Activity in a First-Person Video. 622-635 - Yan Huang, Qi Wu, Wei Wang, Liang Wang:
Image and Sentence Matching via Semantic Concepts and Order Learning. 636-650 - Amir Rosenfeld, John K. Tsotsos:
Incremental Learning Through Deep Adaptation. 651-663 - Feng Liu, Qijun Zhao, Xiaoming Liu, Dan Zeng:
Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition. 664-678 - Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, Jie Zhou:
Learning Reasoning-Decision Networks for Robust Face Alignment. 679-693 - Xiaojie Guo, Yu Li, Jiayi Ma, Haibin Ling:
Mutually Guided Image Filtering. 694-707 - Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh:
Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter. 708-719 - Dana Berman, Tali Treibitz, Shai Avidan:
Single Image Dehazing Using Haze-Lines. 720-734 - Jiaqian Yu, Matthew B. Blaschko:
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses. 735-748 - Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler:
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. 749-763
Volume 42, Number 4, April 2020
- Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. 765-779 - Omkar M. Parkhi, Esa Rahtu, Qiong Cao, Andrew Zisserman:
Automated Video Face Labelling for Films and TV Material. 780-792 - Gaofeng Meng, Chunhong Pan, Shiming Xiang, Ying Wu:
Baselines Extraction from Curved Document Images via Slope Fields Recovery. 793-808 - Jianlong Chang, Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan:
Deep Self-Evolution Clustering. 809-823 - Yury A. Malkov, Dmitry A. Yashunin:
Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs. 824-836 - Jean-Dominique Favreau, Florent Lafarge, Adrien Bousseau, Alex Auvolat:
Extracting Geometric Structures in Images with Delaunay Point Processes. 837-850 - Kede Ma, Zhengfang Duanmu, Zhou Wang, Qingbo Wu, Wentao Liu, Hongwei Yong, Hongliang Li, Lei Zhang:
Group Maximum Differentiation Competition: Model Comparison with Few Samples. 851-864 - Davoud Shahlaei, Volker Blanz:
Hierarchical Bayesian Inverse Lighting of Portraits with a Virtual Light Stage. 865-879 - Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen:
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. 880-893 - Nati Ofir, Meirav Galun, Sharon Alpert, Achi Brandt, Boaz Nadler, Ronen Basri:
On Detection of Faint Edges in Noisy Images. 894-908 - Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan:
Perspective-Adaptive Convolutions for Scene Parsing. 909-924 - Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. 925-938 - Jin Gao, Qiang Wang, Junliang Xing, Haibin Ling, Weiming Hu, Stephen J. Maybank:
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning. 939-955 - Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng:
Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding. 956-973 - Jacopo Iacovacci, Lucas Lacasa:
Visibility Graphs for Image Processing. 974-987 - James R. Clough, Daniel R. Balfour, Gastão Cruz, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. 988-997 - Giacomo Spigler:
Denoising Autoencoders for Overgeneralization in Neural Networks. 998-1004 - Olga Veksler:
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges. 1005-1012 - Abhijith Punnappurath, Michael S. Brown:
Learning Raw Image Reconstruction-Aware Deep Image Compressors. 1013-1019
Volume 42, Number 5, May 2020
- Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü:
Guest Editorial: Image and Video Inpainting and Denoising. 1021-1024 - Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan:
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition. 1025-1037 - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Recurrent Temporal Aggregation Framework for Deep Video Inpainting. 1038-1052 - Ryan Szeto, Ximeng Sun, Kunyi Lu, Jason J. Corso:
A Temporally-Aware Interpolation Network for Video Frame Inpainting. 1053-1068 - Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-Supervised Learning. 1069-1082 - Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang:
Fast Cross-Validation for Kernel-Based Algorithms. 1083-1096 - Shuhui Jiang, Zhengming Ding, Yun Fu:
Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization. 1097-1111 - Lianli Gao, Xiangpeng Li, Jingkuan Song, Heng Tao Shen:
Hierarchical LSTMs with Adaptive Attention for Visual Captioning. 1112-1131 - Charalambos Poullis:
Large-Scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement. 1132-1145 - Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images. 1146-1161 - Reuben A. Farrugia, Christine Guillemot:
Light Field Super-Resolution Using a Low-Rank Prior and Deep Convolutional Neural Networks. 1162-1175 - Ji Zhao, Laurent Kneip, Yijia He, Jiayi Ma:
Minimal Case Relative Pose Computation Using Ray-Point-Ray Features. 1176-1190 - Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. 1191-1204 - Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng:
Online Meta Adaptation for Fast Video Object Segmentation. 1205-1217 - Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Pixel Transposed Convolutional Networks. 1218-1227 - Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for Dense Prediction. 1228-1242 - Zhenguo Yang, Qing Li, Wenyin Liu, Jianming Lv:
Shared Multi-View Data Representation for Multi-Domain Event Detection. 1243-1256 - Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. 1257-1271 - Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by High Quality Object Linking. 1272-1278 - Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa:
Significance of Softmax-Based Features in Comparison to Distance Metric Learning-Based Features. 1279-1285 - Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij, Peter V. Gehler, Simone Bianco, Mark S. Drew, Brian V. Funt, Lilong Shi:
Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset. 1286-1287
Volume 42, Number 6, June 2020
- Guibo Luo, Yuesheng Zhu, Zhenyu Weng, Zhaotian Li:
A Disocclusion Inpainting Framework for Depth-Based View Synthesis. 1289-1302 - Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin:
Absent Multiple Kernel Learning Algorithms. 1303-1316 - Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang:
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning. 1317-1332 - Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. 1333-1347 - Christian Häne, Shubham Tulsiani, Jitendra Malik:
Hierarchical Surface Prediction. 1348-1361 - Jie Shi, Yalin Wang:
Hyperbolic Wasserstein Distance for Shape Indexing. 1362-1376 - Wenhan Yang, Robby T. Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, Jiaying Liu:
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks. 1377-1393 - Jovisa D. Zunic, Paul L. Rosin:
Measuring Shapes with Desired Convex Polygons. 1394-1407 - Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. 1408-1423 - Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang:
Progressive Representation Adaptation for Weakly Supervised Object Localization. 1424-1438 - Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla:
Rolling Shutter Camera Absolute Pose. 1439-1452 - Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot:
Skeleton-Based Online Action Prediction Using Scale Selection Network. 1453-1467 - Benjamin D. Haeffele, René Vidal:
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. 1468-1482 - Mahdi M. Kalayeh, Mubarak Shah:
Training Faster by Separating Modes of Variation in Batch-Normalized Models. 1483-1500 - Dongqing Zou, Xiaowu Chen, Guangying Cao, Xiaogang Wang:
Unsupervised Video Matting via Sparse and Low-Rank Representation. 1501-1514 - Agata Mosinska, Mateusz Kozinski, Pascal Fua:
Joint Segmentation and Path Classification of Curvilinear Structures. 1515-1521 - Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. 1522-1529 - Mei-Chen Yeh,