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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, Yi-Nan Li:
Multilabel Deep Visual-Semantic Embedding. 1530-1536 - Jufeng Yang, Jie Liang, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang:
Subspace Clustering via Good Neighbors. 1537-1544
Volume 42, Number 7, July 2020
- Ayan Chakrabarti, Kalyan Sunkavalli, David A. Forsyth:
Guest Editors' Introduction to the Special Section on Computational Photography. 1545-1546 - Mohammed Almatrafi, Raymond Baldwin, Kiyoharu Aizawa, Keigo Hirakawa:
Distance Surface for Event-Based Optical Flow. 1547-1556 - Avinash Paliwal, Nima Khademi Kalantari:
Deep Slow Motion Video Reconstruction With Hybrid Imaging System. 1557-1569 - Cen Wang, Minye Wu, Ziyu Wang, Liao Wang, Hao Sheng, Jingyi Yu:
Neural Opacity Point Cloud. 1570-1581 - J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. 1582-1593 - Mingyuan Zhou, Yuqi Ding, Yu Ji, S. Susan Young, Jingyi Yu, Jinwei Ye:
Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. 1594-1605 - Yi Hua, Shigeki Nakamura, M. Salman Asif, Aswin C. Sankaranarayanan:
SweepCam - Depth-Aware Lensless Imaging Using Programmable Masks. 1606-1617 - Vivek Boominathan, Jesse K. Adams, Jacob T. Robinson, Ashok Veeraraghavan:
PhlatCam: Designed Phase-Mask Based Thin Lensless Camera. 1618-1629 - Ayush Bhandari, Miguel Heredia Conde, Otmar Loffeld:
One-Bit Time-Resolved Imaging. 1630-1641 - Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek, Gordon Wetzstein:
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors. 1642-1653 - Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. 1654-1669 - Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita:
Ambiguity-Free Radiometric Calibration for Internet Photo Collections. 1670-1684 - Shumeet Baluja:
Hiding Images within Images. 1685-1697 - Han-Jia Ye, De-Chuan Zhan, Nan Li, Yuan Jiang:
Learning Multiple Local Metrics: Global Consideration Helps. 1698-1712 - Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl:
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. 1713-1728 - Sepehr Eghbali, Mohammad Hassan Zokaei Ashtiani, Ladan Tahvildari:
Online Nearest Neighbor Search Using Hamming Weight Trees. 1729-1740 - Zhen Zhang, Mianzhi Wang, Arye Nehorai:
Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications. 1741-1754 - Dingwen Zhang, Junwei Han, Yu Zhang, Dong Xu:
Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation. 1755-1769 - Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Tracklet Person Re-Identification. 1770-1782 - Weixiang Hong, Xueyan Tang, Jingjing Meng, Junsong Yuan:
Asymmetric Mapping Quantization for Nearest Neighbor Search. 1783-1790 - Hadar Averbuch-Elor, Nadav Bar, Daniel Cohen-Or:
Border-Peeling Clustering. 1791-1797 - Yong-Jin Liu, Yiheng Han, Zipeng Ye, Yu-Kun Lai:
Ranking-Preserving Cross-Source Learning for Image Retargeting Quality Assessment. 1798-1805
Volume 42, Number 8, August 2020
- Xu Yang, Zhi-Yong Liu, Hong Qiao:
A Continuation Method for Graph Matching Based Feature Correspondence. 1809-1822 - Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong:
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. 1823-1841 - Cheolmin Kim, Diego Klabjan:
A Simple and Fast Algorithm for L1-Norm Kernel PCA. 1842-1855 - Qichao Que, Mikhail Belkin:
Back to the Future: Radial Basis Function Network Revisited. 1856-1867 - Kevin H. M. Cheng, Ajay Kumar:
Contactless Biometric Identification Using 3D Finger Knuckle Patterns. 1868-1883 - Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu:
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network. 1884-1897 - Markus Oberweger, Paul Wohlhart, Vincent Lepetit:
Generalized Feedback Loop for Joint Hand-Object Pose Estimation. 1898-1912 - Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji, Ruigang Yang:
Inferring Salient Objects from Human Fixations. 1913-1927 - Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad Taghi Manzuri Shalmani:
Learning of Gaussian Processes in Distributed and Communication Limited Systems. 1928-1941 - Chih-Yi Chiu, Amorntip Prayoonwong, Yin-Chih Liao:
Learning to Index for Nearest Neighbor Search. 1942-1956 - Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. 1957-1967 - Jeremias Sulam, Aviad Aberdam, Amir Beck, Michael Elad:
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. 1968-1980 - Gabriel Schwartz, Ko Nishino:
Recognizing Material Properties from Images. 1981-1995 - Juan-Manuel Pérez-Rúa, Ondrej Miksik, Tomás Crivelli, Patrick Bouthemy, Philip H. S. Torr, Patrick Pérez:
ROAM: A Rich Object Appearance Model with Application to Rotoscoping. 1996-2010 - Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu:
Squeeze-and-Excitation Networks. 2011-2023 - Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng:
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. 2024-2037 - Zhiqiang Tang, Xi Peng, Kang Li, Dimitris N. Metaxas:
Towards Efficient U-Nets: A Coupled and Quantized Approach. 2038-2050 - Federico Paredes-Vallés, Kirk Y. W. Scheper, Guido C. H. E. de Croon:
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception. 2051-2064
Volume 42, Number 9, September 2020
- Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
A Comprehensive Analysis of Deep Regression. 2065-2081 - Shangfei Wang, Zhuangqiang Zheng, Shi Yin, Jiajia Yang, Qiang Ji:
A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis. 2082-2095 - Félix Iglesias, Tanja Zseby, Arthur Zimek:
Absolute Cluster Validity. 2096-2112 - Vincenzo Carletti, Antonio Greco, Gennaro Percannella, Mario Vento:
Age from Faces in the Deep Learning Revolution. 2113-2132 - Yukun Chen, Jianbo Ye, Jia Li:
Aggregated Wasserstein Distance and State Registration for Hidden Markov Models. 2133-2147 - Xin Yu, Fatemeh Shiri, Bernard Ghanem, Fatih Porikli:
Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces. 2148-2164 - Erdem Akagündüz, Adrian G. Bors, Karla K. Evans:
Defining Image Memorability Using the Visual Memory Schema. 2165-2178 - Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato:
Hierarchical Gaussian Descriptors with Application to Person Re-Identification. 2179-2194 - Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos:
Learning Complexity-Aware Cascades for Pedestrian Detection. 2195-2211 - Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. 2212-2224 - Rana Ali Amjad, Bernhard C. Geiger:
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle. 2225-2239 - Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le:
Multi-Source Causal Feature Selection. 2240-2256 - Soham Sarkar, Anil Kumar Ghosh:
On Perfect Clustering of High Dimension, Low Sample Size Data. 2257-2272 - Ryoya Yamasaki, Toshiyuki Tanaka:
Properties of Mean Shift. 2273-2286 - Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, Heng Tao Shen:
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. 2287-2305 - Oscar Koller, Necati Cihan Camgöz, Hermann Ney, Richard Bowden:
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. 2306-2320 - Adam Scholefield, Alireza Ghasemi, Martin Vetterli:
Bound and Conquer: Improving Triangulation by Enforcing Consistency. 2321-2326
Volume 42, Number 10, October 2020
- Mohammed Bennamoun, Yulan Guo, Federico Tombari, Kamal Youcef-Toumi, Ko Nishino:
Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications. 2329-2332 - Aviad Zabatani, Vitaly Surazhsky, Erez Sperling, Sagi Ben-Moshe, Ohad Menashe, David H. Silver, Zachi Karni, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Intel® RealSense™ SR300 Coded Light Depth Camera. 2333-2345 - Hoover Rueda-Chacon, Juan Felipe Florez-Ospina, Daniel L. Lau, Gonzalo R. Arce:
Snapshot Compressive ToF+Spectral Imaging via Optimized Color-Coded Apertures. 2346-2360 - Xinjing Cheng, Peng Wang, Ruigang Yang:
Learning Depth with Convolutional Spatial Propagation Network. 2361-2379 - Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks. 2380-2395 - Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. 2396-2409 - Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. 2410-2422 - Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. 2423-2436 - Shuhang Gu, Shi Guo, Wangmeng Zuo, Yunjin Chen, Radu Timofte, Luc Van Gool, Lei Zhang:
Learned Dynamic Guidance for Depth Image Reconstruction. 2437-2452 - Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers:
Photometric Depth Super-Resolution. 2453-2464 - Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi Di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade. 2465-2477 - E. Jared Shamwell, Kyle Lindgren, Sarah Leung, William D. Nothwang:
Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery. 2478-2493 - Thomas Schöps, Torsten Sattler, Marc Pollefeys:
SurfelMeshing: Online Surfel-Based Mesh Reconstruction. 2494-2507 - Lan Xu, Zhuo Su, Lei Han, Tao Yu, Yebin Liu, Lu Fang:
UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction Using Commercial RGBD Cameras. 2508-2522 - Tao Yu, Jianhui Zhao, Zerong Zheng, Kaiwen Guo, Qionghai Dai, Hao Li, Gerard Pons-Moll, Yebin Liu:
DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. 2523-2539 - Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences. 2540-2551 - Luo Jiang, Juyong Zhang, Bailin Deng:
Robust RGB-D Face Recognition Using Attribute-Aware Loss. 2552-2566 - S. Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé:
Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition. 2567-2580 - Nuno C. Garcia, Pietro Morerio, Vittorio Murino:
Learning with Privileged Information via Adversarial Discriminative Modality Distillation. 2581-2593 - Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor:
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition. 2594-2607 - Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang:
Joint Task-Recursive Learning for RGB-D Scene Understanding. 2608-2623 - Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. 2624-2641 - Di Lin, Hui Huang:
Zig-Zag Network for Semantic Segmentation of RGB-D Images. 2642-2655 - Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin:
Globally Optimal Inlier Set Maximization for Atlanta World Understanding. 2656-2669 - Zhile Ren, Erik B. Sudderth:
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts. 2670-2683 - Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot:
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding. 2684-2701 - Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang:
The ApolloScape Open Dataset for Autonomous Driving and Its Application. 2702-2719 - Xinxin Zuo, Sen Wang, Jiangbin Zheng, Zhigeng Pan, Ruigang Yang:
Detailed Surface Geometry and Albedo Recovery from RGB-D Video under Natural Illumination. 2720-2734
Volume 42, Number 11, November 2020
- Fu-Dong Wang, Nan Xue, Yipeng Zhang, Gui-Song Xia, Marcello Pelillo:
A Functional Representation for Graph Matching. 2737-2754 - Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition Using EMOTIC Dataset. 2755-2766 - Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Shihao Zhang, Cheng Xiang:
DART: Distribution Aware Retinal Transform for Event-Based Cameras. 2767-2780 - Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang:
Deep Imbalanced Learning for Face Recognition and Attribute Prediction. 2781-2794 - Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection and Removal. 2795-2808 - Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. 2809-2824 - Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk:
$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. 2825-2841 - Bing Su, Ying Wu:
Learning Low-Dimensional Temporal Representations with Latent Alignments. 2842-2857 - Jiahuan Zhou, Ying Wu:
Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples. 2858-2873 - Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Qi Zhang, Shiming Xiang, Chunhong Pan:
Local-Aggregation Graph Networks. 2874-2886 - Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Matched Filters for Noisy Induced Subgraph Detection. 2887-2900 - Armin Eftekhari, Raphael A. Hauser, Andreas Grammenos:
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. 2901-2911 - Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan:
Recomputation of the Dense Layers for Performance Improvement of DCNN. 2912-2925 - Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli:
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes. 2926-2943 - Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas Maier, Christian Riess:
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. 2944-2959 - Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe:
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. 2960-2966
Volume 42, Number 12, December 2020
- Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CoRRN: Cooperative Reflection Removal Network. 2969-2982 - Dario Zanca, Stefano Melacci, Marco Gori:
Gravitational Laws of Focus of Attention. 2983-2995 - Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Guided Attention Inference Network. 2996-3010 - Shaifali Parashar, Daniel Pizarro, Adrien Bartoli:
Local Deformable 3D Reconstruction with Cartan's Connections. 3011-3026 - Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo:
On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems. 3027-3039 - Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. 3040-3053 - Jacinto C. Nascimento, Gustavo Carneiro:
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. 3054-3070 - Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Real-World Image Denoising with Deep Boosting. 3071-3087 - Wei Zhang, Bairui Wang, Lin Ma, Wei Liu:
Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning. 3088-3101 - Mandar Dixit, Yunsheng Li, Nuno Vasconcelos:
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. 3102-3118 - Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. 3119-3135 - Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal:
Vocabulary-Informed Zero-Shot and Open-Set Learning. 3136-3152
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