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International Journal of Computer Vision, Volume 128
Volume 128, Number 1, January 2020
- Yu Luo, Jianbo Ye, Reginald B. Adams Jr., Jia Li, Michelle G. Newman, James Z. Wang:
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild. 1-25 - Federica Arrigoni, Andrea Fusiello:
Synchronization Problems in Computer Vision with Closed-Form Solutions. 26-52 - Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni:
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. 53-73 - Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin:
Temporal Action Detection with Structured Segment Networks. 74-95 - Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang:
Tracking Persons-of-Interest via Unsupervised Representation Adaptation. 96-120 - Mathias Gallardo, Daniel Pizarro, Toby Collins, Adrien Bartoli:
Shape-From-Template with Curves. 121-165 - Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Classifier and Exemplar Synthesis for Zero-Shot Learning. 166-201 - Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. 202-219 - Andrea Zunino, Jacopo Cavazza, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach. 220-239 - Wenqi Ren, Jinshan Pan, Hua Zhang, Xiaochun Cao, Ming-Hsuan Yang:
Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges. 240-259
Volume 128, Number 2, February 2020
- Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. 261-318 - Armin Mustafa, Adrian Hilton:
Semantically Coherent 4D Scene Flow of Dynamic Scenes. 319-335 - Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra:
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. 336-359 - Weiming Hu, Xinchu Shi, Zongwei Zhou, Junliang Xing, Haibin Ling, Stephen J. Maybank:
Dual L1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching. 360-392 - Sunder Ali Khowaja, Seok-Lyong Lee:
Semantic Image Networks for Human Action Recognition. 393-419 - Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
Deep Insights into Convolutional Networks for Video Recognition. 420-437 - Weichuan Zhang, Changming Sun:
Corner Detection Using Multi-directional Structure Tensor with Multiple Scales. 438-459 - Jian Zhao, Junliang Xing, Lin Xiong, Shuicheng Yan, Jiashi Feng:
Recognizing Profile Faces by Imagining Frontal View. 460-478 - Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. 479-499 - Xin Yu, Fatih Porikli, Basura Fernando, Richard Hartley:
Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks. 500-526 - René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. 527-546 - Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan:
Statistical Modeling of Craniofacial Shape and Texture. 547-571
Volume 128, Number 3, March 2020
- Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert:
Special Issue: Advances in Architectures and Theories for Computer Vision. 573-574 - Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? 575-587 - Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis:
Learning SO(3) Equivariant Representations with Spherical CNNs. 588-600 - Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. 601-618 - Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. 619 - David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. 620-641 - Hei Law, Jia Deng:
CornerNet: Detecting Objects as Paired Keypoints. 642-656 - Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox:
DeepIM: Deep Iterative Matching for 6D Pose Estimation. 657-678 - Sizhuo Ma, Brandon M. Smith, Mohit Gupta:
Differential Scene Flow from Light Field Gradients. 679-697 - Albert Pumarola, Antonio Agudo, Aleix M. Martínez, Alberto Sanfeliu, Francesc Moreno-Noguer:
GANimation: One-Shot Anatomically Consistent Facial Animation. 698-713 - Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel:
Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection. 714-729 - Andreas Veit, Serge J. Belongie:
Convolutional Networks with Adaptive Inference Graphs. 730-741 - Yuxin Wu, Kaiming He:
Group Normalization. 742-755 - Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. 756-769
Volume 128, Number 4, April 2020
- Ling Shao, Hubert P. H. Shum, Timothy M. Hospedales:
Editorial: Special Issue on Machine Vision with Deep Learning. 771-772 - Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra:
Learning on the Edge: Investigating Boundary Filters in CNNs. 773-782 - Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon:
A Simple and Light-Weight Attention Module for Convolutional Neural Networks. 783-798 - Taeyong Song, Youngjung Kim, Changjae Oh, Hyunsung Jang, Namkoo Ha, Kwanghoon Sohn:
Simultaneous Deep Stereo Matching and Dehazing with Feature Attention. 799-817 - Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. 818-834 - Paul Henderson, Vittorio Ferrari:
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. 835-854 - Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier:
Modeling Human Motion with Quaternion-Based Neural Networks. 855-872 - Anurag Ranjan, David T. Hoffmann, Dimitrios Tzionas, Siyu Tang, Javier Romero, Michael J. Black:
Learning Multi-human Optical Flow. 873-890 - Stephanie Stoll, Necati Cihan Camgöz, Simon Hadfield, Richard Bowden:
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks. 891-908 - C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Guest Editorial: Special Issue on ACCV 2018. 909 - Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu, Yizhou Yu:
EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection. 910-930 - Yi-Wen Chen, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
VOSTR: Video Object Segmentation via Transferable Representations. 931-949 - James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales. 950-968 - Thomas Brox, Mario Fritz:
Editor's Note. 969 - Rémy Sun, Christoph H. Lampert:
KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications. 970-995 - Rémy Sun, Christoph H. Lampert:
Correction to: KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications. 996 - Thomas M. Hehn, Julian F. P. Kooij, Fred A. Hamprecht:
End-to-End Learning of Decision Trees and Forests. 997-1011 - Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
3D Fluid Flow Estimation with Integrated Particle Reconstruction. 1012-1027 - Francesco Croce, Jonas Rauber, Matthias Hein:
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks. 1028-1046 - Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D. Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. 1047-1059
Volume 128, Number 5, May 2020
- Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. 1061-1075 - Hao Zhao, Ming Lu, Anbang Yao, Yurong Chen, Li Zhang:
Learning to Draw Sight Lines. 1076-1100 - François Chadebecq, Francisco Vasconcelos, Rene M. Lacher, Efthymios Maneas, Adrien E. Desjardins, Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov:
Refractive Two-View Reconstruction for Underwater 3D Vision. 1101-1117 - Guo-Jun Qi:
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. 1118-1140 - Hongyang Yu, Guorong Li, Weigang Zhang, Qingming Huang, Dawei Du, Qi Tian, Nicu Sebe:
The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline. 1141-1159 - Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner:
Special Issue on Deep Learning for Robotic Vision. 1160-1161 - David Stutz, Andreas Geiger:
Learning 3D Shape Completion Under Weak Supervision. 1162-1181 - Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. 1182-1204 - Sixing Hu, Gim Hee Lee:
Image-Based Geo-Localization Using Satellite Imagery. 1205-1219 - Radu Alexandru Rosu, Jan Quenzel, Sven Behnke:
Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes. 1220-1238 - Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. 1239-1285 - Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation. 1286-1310 - Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. 1311-1330 - Matthieu Grard, Emmanuel Dellandréa, Liming Chen:
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image. 1331-1359 - Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Model-Based Robot Imitation with Future Image Similarity. 1360-1374 - Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Correction to: Model-Based Robot Imitation with Future Image Similarity. 1375 - Xavier Alameda-Pineda, Elisa Ricci, Albert Ali Salah, Nicu Sebe, Shuicheng Yan:
Special Issue on Generating Realistic Visual Data of Human Behavior. 1376-1377 - Concetto Spampinato, Simone Palazzo, P. D'Oro, Daniela Giordano, Mubarak Shah:
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos. 1378-1397 - Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
Realistic Speech-Driven Facial Animation with GANs. 1398-1413 - Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso:
A Weakly Supervised Multi-task Ranking Framework for Actor-Action Semantic Segmentation. 1414-1432 - Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza:
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. 1433-1454 - Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou:
Deep Neural Network Augmentation: Generating Faces for Affect Analysis. 1455-1484 - Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun:
Towards High Fidelity Face Frontalization in the Wild. 1485-1504 - César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio M. López:
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. 1505-1536 - Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip H. S. Torr:
DGPose: Deep Generative Models for Human Body Analysis. 1537-1563
Volume 128, Number 6, June 2020
- Sk. Mohammadul Haque, Venu Madhav Govindu:
A Face Fairness Framework for 3D Meshes. 1565-1579 - Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid:
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. 1580-1593 - Charles Malleson, John P. Collomosse, Adrian Hilton:
Real-Time Multi-person Motion Capture from Multi-view Video and IMUs. 1594-1611 - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. 1612-1634 - Wei Li, Xiatian Zhu, Shaogang Gong:
Scalable Person Re-Identification by Harmonious Attention. 1635-1653 - Jiahang Yin, Ancong Wu, Wei-Shi Zheng:
Fine-Grained Person Re-identification. 1654-1672 - Yakun Chang, Cheolkon Jung, Jun Sun, Fengqiao Wang:
Siamese Dense Network for Reflection Removal with Flash and No-Flash Image Pairs. 1673-1698 - Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. 1699-1721 - Maxim Berman, Matthew B. Blaschko:
Discriminative Training of Conditional Random Fields with Probably Submodular Constraints. 1722-1735 - Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning. 1736-1749 - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. 1750-1764 - Ancong Wu, Wei-Shi Zheng, Shaogang Gong, Jianhuang Lai:
RGB-IR Person Re-identification by Cross-Modality Similarity Preservation. 1765-1785 - Zichuan Liu, Guosheng Lin, Wang Ling Goh:
Bottom-Up Scene Text Detection with Markov Clustering Networks. 1786-1809 - Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem:
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild. 1810-1828
Volume 128, Number 7, July 2020
- Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Exploiting Semantics for Face Image Deblurring. 1829-1846 - Fabio Bellavia, Carlo Colombo:
Is There Anything New to Say About SIFT Matching? 1847-1866 - Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. 1867-1888 - Hiroaki Santo, Michael Waechter, Wen-Yan Lin, Yusuke Sugano, Yasuyuki Matsushita:
Light Structure from Pin Motion: Geometric Point Light Source Calibration. 1889-1912 - Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem:
MAP Inference Via ℓ 2-Sphere Linear Program Reformulation. 1913-1936 - Long Lan, Xinchao Wang, Gang Hua, Thomas S. Huang, Dacheng Tao:
Semi-online Multi-people Tracking by Re-identification. 1937-1955 - Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4. 1956-1981 - Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen:
Enhanced Balanced Min Cut. 1982-1995
Volume 128, Number 8, September 2020
- Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. 1997-2001 - Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He:
A Survey of Deep Facial Attribute Analysis. 2002-2034 - Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. 2035-2048 - Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. 2049-2067 - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. 2068-2088 - Xiang Wu, Ran He, Yibo Hu, Zhenan Sun:
Learning an Evolutionary Embedding via Massive Knowledge Distillation. 2089-2106 - Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. 2107-2125 - Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Xiao-Jun Wu:
Rectified Wing Loss for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks. 2126-2145 - Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
Multi-task Compositional Network for Visual Relationship Detection. 2146-2165 - Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan:
Disentangled Representation Learning of Makeup Portraits in the Wild. 2166-2184 - Jian Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Fine-Grained Multi-human Parsing. 2185-2203 - Qi Li, Zhenan Sun, Ran He, Tieniu Tan:
A General Framework for Deep Supervised Discrete Hashing. 2204-2222 - Haomiao Liu,