---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 789 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017 · page 6 of 8, the most cited first…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/6/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/6/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [IEEE Computer Society Conference on…](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/) / [2017](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/) / [papers](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/) / page 6

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017: all accepted papers

789 papers · page 6 of 8 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/) … [5](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) **6** [7](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/7/) [8](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/7/)

501. **[FASON: First and Second Order Information Fusion Network for Texture Recognition ↗](https://doi.org/10.1109/cvpr.2017.646)**Xiyang Dai, Joe Yue-Hei Ng, Larry Steven Davis*76 citations*
502. **[Multigrid Neural Architectures ↗](https://doi.org/10.1109/cvpr.2017.433)**Tsung-Wei Ke, Michael Maire, Stella X. Yu*76 citations*
503. **[Awesome Typography: Statistics-Based Text Effects Transfer ↗](https://doi.org/10.1109/cvpr.2017.308)**Shuai Yang, Jiaying Liu, Zhouhui Lian et al.*75 citations*
504. **[LCNN: Lookup-Based Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2017.98)**Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi*75 citations*
505. **[Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation ↗](https://doi.org/10.1109/cvpr.2017.99)**Hao Zhao, Ming Lu, Anbang Yao et al.*75 citations*
506. **[Hard Mixtures of Experts for Large Scale Weakly Supervised Vision ↗](https://doi.org/10.1109/cvpr.2017.540)**Sam Gross, Marc’Aurelio Ranzato, Arthur D. Szlam*74 citations*
507. **[Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval ↗](https://doi.org/10.1109/cvpr.2017.385)**Jin Xie, Guoxian Dai, Fan Zhu et al.*74 citations*
508. **[Reflection Removal Using Low-Rank Matrix Completion ↗](https://doi.org/10.1109/cvpr.2017.412)**Byeong-Ju Han, Jae-Young Sim*73 citations*
509. **[Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization ↗](https://doi.org/10.1109/cvpr.2017.146)**Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan et al.*72 citations*
510. **[Binge Watching: Scaling Affordance Learning from Sitcoms ↗](https://doi.org/10.1109/cvpr.2017.359)**Xiaolong Wang, Rohit Girdhar, Abhinav Gupta*72 citations*
511. **[Collaborative Summarization of Topic-Related Videos ↗](https://doi.org/10.1109/cvpr.2017.455)**Rameswar Panda, Amit K. Roy–Chowdhury*72 citations*
512. **[Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training ↗](https://doi.org/10.1109/cvpr.2017.109)**Leonid Karlinsky, Joseph Shtok, Yochay Tzur et al.*72 citations*
513. **[Generalized Deep Image to Image Regression ↗](https://doi.org/10.1109/cvpr.2017.573)**Venkataraman Santhanam, Vlad I. Morariu, Larry Steven Davis*72 citations*
514. **[Deep Quantization: Encoding Convolutional Activations with Deep Generative Model ↗](https://doi.org/10.1109/cvpr.2017.435)**Zhaofan Qiu, Ting Yao, Tao Mei*71 citations*
515. **[The Geometry of First-Returning Photons for Non-Line-of-Sight Imaging ↗](https://doi.org/10.1109/cvpr.2017.251)**Chia‐Yin Tsai, Kiriakos N. Kutulakos, Srinivasa G. Narasimhan et al.*71 citations*
516. **[A Non-local Low-Rank Framework for Ultrasound Speckle Reduction ↗](https://doi.org/10.1109/cvpr.2017.60)**Lei Zhu, Chi‐Wing Fu, Michael S. Brown et al.*70 citations*
517. **[Supervising Neural Attention Models for Video Captioning by Human Gaze Data ↗](https://doi.org/10.1109/cvpr.2017.648)**Youngjae Yu, Jongwook Choi, Yeon‐Hwa Kim et al.*70 citations*
518. **[Infinite Variational Autoencoder for Semi-Supervised Learning ↗](https://doi.org/10.1109/cvpr.2017.90)**M. Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel*69 citations*
519. **[Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos ↗](https://doi.org/10.1109/cvpr.2017.341)**Ionuţ Cosmin Duţă, Bogdan Emanuel Ionescu, Kiyoharu Aizawa et al.*69 citations*
520. **[MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information ↗](https://doi.org/10.1109/cvpr.2017.635)**Hao Yang, Joey Tianyi Zhou, Jianfei Cai et al.*68 citations*
521. **[CATS: A Color and Thermal Stereo Benchmark ↗](https://doi.org/10.1109/cvpr.2017.22)**Wayne Treible, Philip J. Saponaro, Scott Sorensen et al.*67 citations*
522. **[Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals ↗](https://doi.org/10.1109/cvpr.2017.721)**Katsuyuki Nakamura, Serena Y. Yeung, Alexandre Alahi et al.*67 citations*
523. **[Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description ↗](https://doi.org/10.1109/cvpr.2017.662)**Xishan Zhang, Ke Gao, Yongdong Zhang et al.*67 citations*
524. **[Fast Video Classification via Adaptive Cascading of Deep Models ↗](https://doi.org/10.1109/cvpr.2017.236)**Haichen Shen, Seungyeop Han, Matthai Philipose et al.*66 citations*
525. **[Robust Interpolation of Correspondences for Large Displacement Optical Flow ↗](https://doi.org/10.1109/cvpr.2017.509)**Yinlin Hu, Yunsong Li, Rui Song*66 citations*
526. **[Shading Annotations in the Wild ↗](https://doi.org/10.1109/cvpr.2017.97)**Balázs Kovács, Sean Bell, Noah Snavely et al.*65 citations*
527. **[Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet ↗](https://doi.org/10.1109/cvpr.2017.119)**Jianwen Xie, Song Chun Zhu, Ying Nian Wu*65 citations*
528. **[UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems ↗](https://doi.org/10.1109/cvpr.2017.692)**Sean Fanello, Julien Valentin, Christoph Rhemann et al.*64 citations*
529. **[AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching ↗](https://doi.org/10.1109/cvpr.2017.306)**David Novotný, Diane Larlus, Andrea Vedaldi*63 citations*
530. **[Learning Adaptive Receptive Fields for Deep Image Parsing Network ↗](https://doi.org/10.1109/cvpr.2017.420)**Zhen Lin Wei, Yao Sun, Jinqiao Wang et al.*63 citations*
531. **[On the Effectiveness of Visible Watermarks ↗](https://doi.org/10.1109/cvpr.2017.726)**Tali Dekel, Michael Rubinstein, Ce Liu et al.*63 citations*
532. **[Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF ↗](https://doi.org/10.1109/cvpr.2017.550)**Falong Shen, Rui Gan, Shuicheng Yan et al.*63 citations*
533. **[Unrolling the Shutter: CNN to Correct Motion Distortions ↗](https://doi.org/10.1109/cvpr.2017.252)**Vijay Rengarajan, Yogesh Balaji, Ambasamudram Narayanan Rajagopalan*62 citations*
534. **[Factorized Variational Autoencoders for Modeling Audience Reactions to Movies ↗](https://doi.org/10.1109/cvpr.2017.637)**Zhiwei Deng, Rajitha Navarathna, Peter Carr et al.*61 citations*
535. **[Few-Shot Object Recognition from Machine-Labeled Web Images ↗](https://doi.org/10.1109/cvpr.2017.569)**Zhongwen Xu, Linchao Zhu, Yi Ping Yang*61 citations*
536. **[A Reinforcement Learning Approach to the View Planning Problem ↗](https://doi.org/10.1109/cvpr.2017.541)**Mustafa Devrim Kaba, Mustafa Gökhan Uzunbaş, Ser Nam Lim*60 citations*
537. **[Co-occurrence Filter ↗](https://doi.org/10.1109/cvpr.2017.406)**Roy J. Jevnisek, Shai Avidan*60 citations*
538. **[A Dataset for Benchmarking Image-Based Localization ↗](https://doi.org/10.1109/cvpr.2017.598)**Xun Sun, Yuanfan Xie, Pei Luo et al.*59 citations*
539. **[Fine-to-Coarse Global Registration of RGB-D Scans ↗](https://doi.org/10.1109/cvpr.2017.705)**Maciej Halber, Thomas A. Funkhouser*59 citations*
540. **[Deep View Morphing ↗](https://doi.org/10.1109/cvpr.2017.750)**Dinghuang Ji, Junghyun Kwon, Max McFarland et al.*58 citations*
541. **[NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance ↗](https://doi.org/10.1109/cvpr.2017.158)**Geoffrey Pascoe, Will Maddern, Michael Tanner et al.*58 citations*
542. **[Object Co-skeletonization with Co-segmentation ↗](https://doi.org/10.1109/cvpr.2017.413)**Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu et al.*58 citations*
543. **[A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2017.88)**Chunpeng Wu, Wei Wen, Tariq Afzal et al.*57 citations*
544. **[Direct Photometric Alignment by Mesh Deformation ↗](https://doi.org/10.1109/cvpr.2017.289)**Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu et al.*57 citations*
545. **[Identifying First-Person Camera Wearers in Third-Person Videos ↗](https://doi.org/10.1109/cvpr.2017.503)**Chenyou Fan, Jangwon Lee, Mingze Xu et al.*57 citations*
546. **[Surveillance Video Parsing with Single Frame Supervision ↗](https://doi.org/10.1109/cvpr.2017.114)**Si Liu, Changhu Wang, Ruihe Qian et al.*57 citations*
547. **[Reflectance Adaptive Filtering Improves Intrinsic Image Estimation ↗](https://doi.org/10.1109/cvpr.2017.192)**Thomas Nestmeyer, Peter Gehler*56 citations*
548. **[Subspace Clustering via Variance Regularized Ridge Regression ↗](https://doi.org/10.1109/cvpr.2017.80)**Chong Peng, Zhao Kang, Qiang Cheng*56 citations*
549. **[Teaching Compositionality to CNNs ↗](https://doi.org/10.1109/cvpr.2017.85)**Austin Stone, Huayan Wang, Michael Stark et al.*55 citations*
550. **[A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting ↗](https://doi.org/10.1109/cvpr.2017.45)**Yvain Quéau, Tao Wu, François Lauze et al.*54 citations*
551. **[Multiple-Scattering Microphysics Tomography ↗](https://doi.org/10.1109/cvpr.2017.614)**Aviad Levis, Yoav Y. Schechner, Anthony B. Davis*54 citations*
552. **[Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry ↗](https://doi.org/10.1109/cvpr.2017.271)**Michael Strecke, Anna Alperovich, Bastian Goldlüecke*53 citations*
553. **[Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation ↗](https://doi.org/10.1109/cvpr.2017.756)**Stéphane Lathuilière, Rémi Juge, Pablo Mesejo et al.*53 citations*
554. **[On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution ↗](https://doi.org/10.1109/cvpr.2017.466)**Yuqian Zhang, Yenson Lau, Han-Wen Kuo et al.*53 citations*
555. **[Order-Preserving Wasserstein Distance for Sequence Matching ↗](https://doi.org/10.1109/cvpr.2017.310)**Bing Su, Gang Hua*53 citations*
556. **[Simultaneous Stereo Video Deblurring and Scene Flow Estimation ↗](https://doi.org/10.1109/cvpr.2017.739)**Liyuan Pan, Yuchao Dai, Miaomiao Liu et al.*53 citations*
557. **[Incremental Kernel Null Space Discriminant Analysis for Novelty Detection ↗](https://doi.org/10.1109/cvpr.2017.439)**Juncheng Liu, Zhouhui Lian, Yi Wang et al.*52 citations*
558. **[Generating Descriptions with Grounded and Co-referenced People ↗](https://doi.org/10.1109/cvpr.2017.447)**Anna Rohrbach, Marcus Rohrbach, Siyu Tang et al.*51 citations*
559. **[Image Splicing Detection via Camera Response Function Analysis ↗](https://doi.org/10.1109/cvpr.2017.203)**Can Chen, Scott McCloskey, Jingyi Yu*51 citations*
560. **[Online Summarization via Submodular and Convex Optimization ↗](https://doi.org/10.1109/cvpr.2017.197)**Ehsan Elhamifar, M. Clara De Paolis Kaluza*51 citations*
561. **[Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image ↗](https://doi.org/10.1109/cvpr.2017.594)**Chen Kong, Chen-Hsuan Lin, Simon Lucey*51 citations*
562. **[Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation ↗](https://doi.org/10.1109/cvpr.2017.765)**Zheng Xu, Mário A. T. Figueiredo, Xiaoming Yuan et al.*50 citations*
563. **[Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries ↗](https://doi.org/10.1109/cvpr.2017.122)**Yuting Zhang, Luyao Yuan, Yijie Guo et al.*50 citations*
564. **[Learning Object Interactions and Descriptions for Semantic Image Segmentation ↗](https://doi.org/10.1109/cvpr.2017.556)**Guangrun Wang, Ping Luo, Liang Lin et al.*50 citations*
565. **[Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos ↗](https://doi.org/10.1109/cvpr.2017.116)**De-An Huang, Joseph J. Lim, Li Fei-Fei et al.*50 citations*
566. **[A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds ↗](https://doi.org/10.1109/cvpr.2017.487)**Irène Kaltenmark, Benjamin Charlier, Nicolas Charon*49 citations*
567. **[Discretely Coding Semantic Rank Orders for Supervised Image Hashing ↗](https://doi.org/10.1109/cvpr.2017.546)**Li Liu, Ling Shao, Fumin Shen et al.*49 citations*
568. **[LSTM Self-Supervision for Detailed Behavior Analysis ↗](https://doi.org/10.1109/cvpr.2017.399)**Biagio Brattoli, Uta Büchler, Anna-Sophia Wahl et al.*49 citations*
569. **[Light Field Blind Motion Deblurring ↗](https://doi.org/10.1109/cvpr.2017.253)**Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi*49 citations*
570. **[DeepNav: Learning to Navigate Large Cities ↗](https://doi.org/10.1109/cvpr.2017.329)**Samarth Brahmbhatt, James H. Hays*48 citations*
571. **[Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters ↗](https://doi.org/10.1109/cvpr.2017.496)**Shiyu Huang, Deva Ramanan*48 citations*
572. **[Joint Gap Detection and Inpainting of Line Drawings ↗](https://doi.org/10.1109/cvpr.2017.611)**Kazuma Sasaki, Satoshi Iizuka, Edgar Simo‐Serra et al.*48 citations*
573. **[Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm ↗](https://doi.org/10.1109/cvpr.2017.409)**Tatsuya Yokota, Hidekata Hontani*48 citations*
574. **[Visual-Inertial-Semantic Scene Representation for 3D Object Detection ↗](https://doi.org/10.1109/cvpr.2017.380)**Jingming Dong, Xiaohan Fei, Stefano Soatto*48 citations*
575. **[Weakly Supervised Actor-Action Segmentation via Robust Multi-task Ranking ↗](https://doi.org/10.1109/cvpr.2017.115)**Yan Yan, Chenliang Xu, Dawen Cai et al.*48 citations*
576. **[A Clever Elimination Strategy for Efficient Minimal Solvers ↗](https://doi.org/10.1109/cvpr.2017.384)**Zuzana Kúkelová, Joe Kileel, Bernd Sturmfels et al.*47 citations*
577. **[Depth from Defocus in the Wild ↗](https://doi.org/10.1109/cvpr.2017.507)**Huixuan Tang, Scott D. Cohen, Brian L. Price et al.*47 citations*
578. **[InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation ↗](https://doi.org/10.1109/cvpr.2017.674)**Shay Zweig, Lior Wolf*47 citations*
579. **[Knowledge Acquisition for Visual Question Answering via Iterative Querying ↗](https://doi.org/10.1109/cvpr.2017.651)**Yuke Zhu, Joseph J. Lim, Li Fei-Fei*47 citations*
580. **[Lean Crowdsourcing: Combining Humans and Machines in an Online System ↗](https://doi.org/10.1109/cvpr.2017.647)**Steve Branson, Grant Van Horn, Pietro Perona*47 citations*
581. **[Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels ↗](https://doi.org/10.1109/cvpr.2017.482)**Ali Osman Ulusoy, Michael J. Black, Andreas Geiger*47 citations*
582. **[Budget-Aware Deep Semantic Video Segmentation ↗](https://doi.org/10.1109/cvpr.2017.224)**Behrooz Mahasseni, Siniša Todorović, Alan Fern*46 citations*
583. **[AMVH: Asymmetric Multi-Valued hashing ↗](https://doi.org/10.1109/cvpr.2017.102)**Cheng Da, Shibiao Xu, Kun Ding et al.*45 citations*
584. **[Deep Co-occurrence Feature Learning for Visual Object Recognition ↗](https://doi.org/10.1109/cvpr.2017.772)**Ya-Fang Shih, Yang-Ming Yeh, Yen‐Yu Lin et al.*45 citations*
585. **[Predicting Behaviors of Basketball Players from First Person Videos ↗](https://doi.org/10.1109/cvpr.2017.133)**Shan Su, Jung Pyo Hong, Jianbo Shi et al.*45 citations*
586. **[Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core ↗](https://doi.org/10.1109/cvpr.2017.57)**Wadim Kehl, Federico Tombari, Slobodan Ilić et al.*45 citations*
587. **[Seeing What is Not There: Learning Context to Determine Where Objects are Missing ↗](https://doi.org/10.1109/cvpr.2017.136)**Jin Sun, David W. Jacobs*45 citations*
588. **[Straight to Shapes: Real-Time Detection of Encoded Shapes ↗](https://doi.org/10.1109/cvpr.2017.448)**Saumya Jetley, Michael Sapienza, Stuart Golodetz et al.*45 citations*
589. **[A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences ↗](https://doi.org/10.1109/cvpr.2017.274)**Dániel Baráth, Tekla Tóth, Levente Hajder*44 citations*
590. **[Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images ↗](https://doi.org/10.1109/cvpr.2017.711)**Yuan Gao, Alan Yuille*44 citations*
591. **[Face Normals "In-the-Wild" Using Fully Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2017.44)**George Trigeorgis, Patrick Snape, Iasonas Kokkinos et al.*44 citations*
592. **[Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps ↗](https://doi.org/10.1109/cvpr.2017.483)**Matteo Poggi, Stefano Mattoccia*44 citations*
593. **[Object-Aware Dense Semantic Correspondence ↗](https://doi.org/10.1109/cvpr.2017.442)**Fan Yang, Xin Li, Hong Cheng et al.*44 citations*
594. **[PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning ↗](https://doi.org/10.1109/cvpr.2017.275)**Alexander Krull, Eric Brachmann, Sebastian Nowozin et al.*44 citations*
595. **[Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems ↗](https://doi.org/10.1109/cvpr.2017.629)**Je Hyeong Hong, Christopher Zach, Andrew W Fitzgibbon*44 citations*
596. **[Snapshot Hyperspectral Light Field Imaging ↗](https://doi.org/10.1109/cvpr.2017.727)**Zhiwei Xiong, Lizhi Wang, Huiqun Li et al.*44 citations*
597. **[Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion ↗](https://doi.org/10.1109/cvpr.2017.708)**Michel Antunes, João Pedro Barreto, Djamila Aouada et al.*44 citations*
598. **[A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching ↗](https://doi.org/10.1109/cvpr.2017.747)**Paul Swoboda, Carsten Rother, Hassan Abu Alhaija et al.*43 citations*
599. **[Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.445)**Seyed Ali Haji Esmaeili, Bharat Singh, Larry Steven Davis*43 citations*
600. **[Online Asymmetric Similarity Learning for Cross-Modal Retrieval ↗](https://doi.org/10.1109/cvpr.2017.424)**Yiling Wu, Shuhui Wang, Qingming Huang*43 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/) … [5](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) **6** [7](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/7/) [8](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/7/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017