---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 981 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018 · page 7 of 10, the most cited first…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/7/"
---
[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/2018/papers/page/7/)

[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/) / [2018](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/) / [papers](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/) / page 7

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018: all accepted papers

981 papers · page 7 of 10 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/6/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/) … [6](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/6/) **7** [8](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/8/) [9](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/9/) [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/10/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/8/)

601. **[3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism ↗](https://doi.org/10.1109/cvpr.2018.00230)**Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru et al.*105 citations*
602. **[Demo2Vec: Reasoning Object Affordances from Online Videos ↗](https://doi.org/10.1109/cvpr.2018.00228)**Kuan Fang, Te-Lin Wu, Daniel Yang et al.*105 citations*
603. **[Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective ↗](https://doi.org/10.1109/cvpr.2018.00885)**Apratim Bhattacharyya, Bernt Schiele, Mario Fritz*104 citations*
604. **[Sliced Wasserstein Distance for Learning Gaussian Mixture Models ↗](https://doi.org/10.1109/cvpr.2018.00361)**Soheil Kolouri, Gustavo Kunde Rohde, Heiko Hoffmann*104 citations*
605. **[Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment ↗](https://doi.org/10.1109/cvpr.2018.00681)**Chenliang Xu, Li Ding*104 citations*
606. **[Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation ↗](https://doi.org/10.1109/cvpr.2018.00924)**Yen‐Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu et al.*103 citations*
607. **[Learning Structure and Strength of CNN Filters for Small Sample Size Training ↗](https://doi.org/10.1109/cvpr.2018.00974)**Rohit Keshari, Mayank Vatsa A, Richa Singh et al.*103 citations*
608. **[Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks ↗](https://doi.org/10.1109/cvpr.2018.00244)**Xuepeng Shi, Shiguang Shan, Meina Kan et al.*103 citations*
609. **[Human Appearance Transfer ↗](https://doi.org/10.1109/cvpr.2018.00565)**Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir et al.*102 citations*
610. **[Human Semantic Parsing for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2018.00117)**Mahdi M. Kalayeh, Emrah Başaran, Muhittin Gökmen et al.*102 citations*
611. **[Feature Space Transfer for Data Augmentation ↗](https://doi.org/10.1109/cvpr.2018.00947)**Bo Liu, Xudong Wang, Mandar Dixit et al.*101 citations*
612. **[Focal Visual-Text Attention for Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00642)**Junwei Liang, Lu Jiang, Liangliang Cao et al.*101 citations*
613. **[High-Speed Tracking with Multi-kernel Correlation Filters ↗](https://doi.org/10.1109/cvpr.2018.00512)**Ming Tang, Bin Yu, Fan Zhang et al.*100 citations*
614. **[Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00866)**Xiaowei Xu, Qing Hua Lu, Lin Yang et al.*100 citations*
615. **[Learning to Act Properly: Predicting and Explaining Affordances from Images ↗](https://doi.org/10.1109/cvpr.2018.00108)**Ching-Yao Chuang, Jiaman Li, Antonio B. Torralba et al.*98 citations*
616. **[Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers ↗](https://doi.org/10.1109/cvpr.2018.00207)**Stefan Roth, Stephan R. Richter*98 citations*
617. **[Deeply Learned Filter Response Functions for Hyperspectral Reconstruction ↗](https://doi.org/10.1109/cvpr.2018.00501)**Shijie Nie, Lin Gu, Yinqiang Zheng et al.*97 citations*
618. **[Referring Relationships ↗](https://doi.org/10.1109/cvpr.2018.00718)**Ranjay Krishna, Ines Chami, Michael S. Bernstein et al.*97 citations*
619. **[Efficient and Deep Person Re-identification Using Multi-level Similarity ↗](https://doi.org/10.1109/cvpr.2018.00248)**Yiluan Guo, Ngai Man Cheung*96 citations*
620. **[Geometry-Aware Scene Text Detection with Instance Transformation Network ↗](https://doi.org/10.1109/cvpr.2018.00150)**Fangfang Wang, Li-Ming Zhao, Xi Li et al.*96 citations*
621. **[Regularizing RNNs for Caption Generation by Reconstructing the Past with the Present ↗](https://doi.org/10.1109/cvpr.2018.00834)**Xinpeng Chen, Lin Ma, Wenhao Jiang et al.*96 citations*
622. **[Soccer on Your Tabletop ↗](https://doi.org/10.1109/cvpr.2018.00498)**Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless et al.*96 citations*
623. **[Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network ↗](https://doi.org/10.1109/cvpr.2018.00088)**Daniel Merget, Matthias Rock, Gerhard Rigoll*95 citations*
624. **[Rotation Averaging and Strong Duality ↗](https://doi.org/10.1109/cvpr.2018.00021)**Anders P. Eriksson, Carl Olsson, Fredrik Kahl et al.*95 citations*
625. **[Good View Hunting: Learning Photo Composition from Dense View Pairs ↗](https://doi.org/10.1109/cvpr.2018.00570)**Zijun Wei, Jianming Zhang, Xiaohui Shen et al.*94 citations*
626. **[Motion-Guided Cascaded Refinement Network for Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00152)**Ping Hu, Gang Wang, Xiangfei Kong et al.*94 citations*
627. **[Interpret Neural Networks by Identifying Critical Data Routing Paths ↗](https://doi.org/10.1109/cvpr.2018.00928)**Yulong Wang, Hang Su, Bo Zhang et al.*93 citations*
628. **[Reinforcement Cutting-Agent Learning for Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00946)**Junwei Han, Le Yang, Dingwen Zhang et al.*93 citations*
629. **[Texture Mapping for 3D Reconstruction with RGB-D Sensor ↗](https://doi.org/10.1109/cvpr.2018.00488)**Yanping Fu, Qingan Yan, Long Yang et al.*93 citations*
630. **[InverseFaceNet: Deep Monocular Inverse Face Rendering ↗](https://doi.org/10.1109/cvpr.2018.00486)**Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari et al.*92 citations*
631. **[Knowledge Aided Consistency for Weakly Supervised Phrase Grounding ↗](https://doi.org/10.1109/cvpr.2018.00425)**Kan Chen, Jiyang Gao, Ram Nevatia*92 citations*
632. **[RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials ↗](https://doi.org/10.1109/cvpr.2018.00410)**Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt et al.*91 citations*
633. **[Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints ↗](https://doi.org/10.1109/cvpr.2018.00627)**Alexander Richard, Hilde Kuehne, Jüergen Gall*90 citations*
634. **[Recognize Actions by Disentangling Components of Dynamics ↗](https://doi.org/10.1109/cvpr.2018.00687)**Yue Zhao, Yuanjun Xiong, Dahua Lin*90 citations*
635. **[Im2Flow: Motion Hallucination from Static Images for Action Recognition ↗](https://doi.org/10.1109/cvpr.2018.00622)**Ruohan Gao, Bo Xiong, Kristen Grauman*89 citations*
636. **[Controllable Video Generation with Sparse Trajectories ↗](https://doi.org/10.1109/cvpr.2018.00819)**Zekun Hao, Xun Huang, Serge Belongie*88 citations*
637. **[People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting ↗](https://doi.org/10.1109/cvpr.2018.00842)**Mark A. Marsden, Kevin McGuinness, Suzanne Little et al.*88 citations*
638. **[Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images ↗](https://doi.org/10.1109/cvpr.2018.00883)**Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele*87 citations*
639. **[Deep Learning Under Privileged Information Using Heteroscedastic Dropout ↗](https://doi.org/10.1109/cvpr.2018.00926)**John Lambert, Ozan Şener, Silvio Savarese*87 citations*
640. **[Weakly Supervised Learning of Single-Cell Feature Embeddings ↗](https://doi.org/10.1109/cvpr.2018.00970)**Juan Carlos Caicedo, Claire McQuin, Allen Goodman et al.*87 citations*
641. **[AMNet: Memorability Estimation with Attention ↗](https://doi.org/10.1109/cvpr.2018.00666)**Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso et al.*86 citations*
642. **[Defocus Blur Detection via Multi-stream Bottom-Top-Bottom Fully Convolutional Network ↗](https://doi.org/10.1109/cvpr.2018.00325)**Wenda Zhao, Fan Zhao, Dong Wang et al.*86 citations*
643. **[Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks ↗](https://doi.org/10.1109/cvpr.2018.00135)**Dinesh Jayaraman, Kristen Grauman*86 citations*
644. **[Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos ↗](https://doi.org/10.1109/cvpr.2018.00623)**De-An Huang, Shyamal Buch, Lucio M. Dery et al.*85 citations*
645. **[Hashing as Tie-Aware Learning to Rank ↗](https://doi.org/10.1109/cvpr.2018.00423)**Kun He, Fatih Çakir, Sarah Adel Bargal et al.*85 citations*
646. **[TOM-Net: Learning Transparent Object Matting from a Single Image ↗](https://doi.org/10.1109/cvpr.2018.00962)**Guanying Chen, Kai Han, Kwan-Yee K. Wong*85 citations*
647. **[Differential Attention for Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00801)**Badri N. Patro, Vinay P. Namboodiri*84 citations*
648. **[Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00982)**Aojun Zhou, Anbang Yao, Kuan Wang et al.*84 citations*
649. **[Global Versus Localized Generative Adversarial Nets ↗](https://doi.org/10.1109/cvpr.2018.00164)**Guo-Jun Qi, Liheng Zhang, Hao Hu et al.*83 citations*
650. **[Inferring Shared Attention in Social Scene Videos ↗](https://doi.org/10.1109/cvpr.2018.00676)**Lifeng Fan, Yixin Chen, Ping Wei et al.*83 citations*
651. **[Left-Right Comparative Recurrent Model for Stereo Matching ↗](https://doi.org/10.1109/cvpr.2018.00404)**Zequn Jie, Pengfei Wang, Yonggen Ling et al.*83 citations*
652. **[Multi-scale Location-Aware Kernel Representation for Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00136)**Hao Wang, Qilong Wang, Mingqi Gao et al.*83 citations*
653. **[Fooling Vision and Language Models Despite Localization and Attention Mechanism ↗](https://doi.org/10.1109/cvpr.2018.00520)**Xiaojun Xu, Xinyun Chen, Chang Liu et al.*82 citations*
654. **[Free Supervision from Video Games ↗](https://doi.org/10.1109/cvpr.2018.00312)**Philipp Krähenbühl*82 citations*
655. **[GroupCap: Group-Based Image Captioning with Structured Relevance and Diversity Constraints ↗](https://doi.org/10.1109/cvpr.2018.00146)**Fuhai Chen, Rongrong Ji, Xiaoshuai Sun et al.*82 citations*
656. **[Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors ↗](https://doi.org/10.1109/cvpr.2018.00107)**Junhyug Noh, Soochan Lee, Beomsu Kim et al.*82 citations*
657. **[Deep Reinforcement Learning of Region Proposal Networks for Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00726)**Aleksis Pirinen, Cristian Sminchisescu*81 citations*
658. **[Multi-scale Weighted Nuclear Norm Image Restoration ↗](https://doi.org/10.1109/cvpr.2018.00334)**Noam Yair, Tomer Michaeli*81 citations*
659. **[Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation ↗](https://doi.org/10.1109/cvpr.2018.00869)**Seungryul Baek, Kwang In Kim, Tae‐Kyun Kim*78 citations*
660. **[Analysis of Hand Segmentation in the Wild ↗](https://doi.org/10.1109/cvpr.2018.00495)**Aisha Urooj Khan, Ali Borji*77 citations*
661. **[Learning Latent Super-Events to Detect Multiple Activities in Videos ↗](https://doi.org/10.1109/cvpr.2018.00556)**AJ Piergiovanni, Michael S. Ryoo*77 citations*
662. **[Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering ↗](https://doi.org/10.1109/cvpr.2018.00603)**Unnat Jain, Alexander Gerhard Schwing, Svetlana Lazebnik*76 citations*
663. **[A Two-Step Disentanglement Method ↗](https://doi.org/10.1109/cvpr.2018.00087)**Naama Hadad, Lior Wolf, Moni Shahar*75 citations*
664. **[CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles ↗](https://doi.org/10.1109/cvpr.2018.00204)**N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan*75 citations*
665. **[Deep Spatio-Temporal Random Fields for Efficient Video Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00929)**Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos*74 citations*
666. **[Generative Adversarial Learning Towards Fast Weakly Supervised Detection ↗](https://doi.org/10.1109/cvpr.2018.00604)**Yunhang Shen, Rongrong Ji, Shengchuan Zhang et al.*74 citations*
667. **[Hierarchical Novelty Detection for Visual Object Recognition ↗](https://doi.org/10.1109/cvpr.2018.00114)**Kibok Lee, Kimin Lee, Kyle Min et al.*74 citations*
668. **[Learning to Detect Features in Texture Images ↗](https://doi.org/10.1109/cvpr.2018.00662)**Linguang Zhang, Szymon M. Rusinkiewicz*73 citations*
669. **[Revisiting Knowledge Transfer for Training Object Class Detectors ↗](https://doi.org/10.1109/cvpr.2018.00121)**Jasper Uijlings, Stefan Popov, Vittorio Ferrari*73 citations*
670. **[Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition ↗](https://doi.org/10.1109/cvpr.2018.00203)**Syed Zulqarnain Gilani, Ajmal Saeed Mian*72 citations*
671. **[SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00189)**Kyoung Mu Lee, Heesoo Myeong, Gwangmo Song*72 citations*
672. **[Sparse, Smart Contours to Represent and Edit Images ↗](https://doi.org/10.1109/cvpr.2018.00370)**Tali Dekel, Chuang Gan, Dilip Krishnan et al.*72 citations*
673. **[Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-Grained Classification ↗](https://doi.org/10.1109/cvpr.2018.00749)**Li Niu, Ashok Veeraraghavan, Ashu Sabharwal*72 citations*
674. **[CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition ↗](https://doi.org/10.1109/cvpr.2018.00698)**Anil S. Baslamisli, Hoàng-Ân Lê, Theo Gevers*71 citations*
675. **[On the Importance of Label Quality for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00160)**Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma et al.*71 citations*
676. **[Hierarchical Recurrent Attention Networks for Structured Online Maps ↗](https://doi.org/10.1109/cvpr.2018.00360)**Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth et al.*70 citations*
677. **[Multistage Adversarial Losses for Pose-Based Human Image Synthesis ↗](https://doi.org/10.1109/cvpr.2018.00020)**Chenyang Si, Wei Wang, Liang Wang et al.*70 citations*
678. **[A Constrained Deep Neural Network for Ordinal Regression ↗](https://doi.org/10.1109/cvpr.2018.00093)**Chi-Keong Goh, Yanzhu Liu, Adams Wai‐Kin Kong*69 citations*
679. **[Multi-shot Pedestrian Re-identification via Sequential Decision Making ↗](https://doi.org/10.1109/cvpr.2018.00709)**Jianfu Zhang, Naiyan Wang, Liqing Zhang*69 citations*
680. **[Video Representation Learning Using Discriminative Pooling ↗](https://doi.org/10.1109/cvpr.2018.00126)**Jue Wang, Anoop Cherian, Fatih Porikli et al.*69 citations*
681. **[Geometry-Aware Deep Network for Single-Image Novel View Synthesis ↗](https://doi.org/10.1109/cvpr.2018.00485)**Miaomiao Liu, Xuming He, Mathieu Salzmann*68 citations*
682. **[Dynamic Feature Learning for Partial Face Recognition ↗](https://doi.org/10.1109/cvpr.2018.00737)**Lingxiao He, Haiqing Li, Qi Zhang et al.*67 citations*
683. **[Learning Visual Knowledge Memory Networks for Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00807)**Su Zhou, Chen Zhu, Yinpeng Dong et al.*67 citations*
684. **[Learning to Promote Saliency Detectors ↗](https://doi.org/10.1109/cvpr.2018.00177)**Yu Zeng, Huchuan Lu, Lihe Zhang et al.*67 citations*
685. **[Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition ↗](https://doi.org/10.1109/cvpr.2018.00532)**Shizhong Han, Zibo Meng, Zhiyuan Li et al.*67 citations*
686. **[Tensorize, Factorize and Regularize: Robust Visual Relationship Learning ↗](https://doi.org/10.1109/cvpr.2018.00112)**Seong Jae Hwang, Hyunwoo J. Kim, Sathya N. Ravi et al.*67 citations*
687. **[xUnit: Learning a Spatial Activation Function for Efficient Image Restoration ↗](https://doi.org/10.1109/cvpr.2018.00258)**Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli*67 citations*
688. **[DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map ↗](https://doi.org/10.1109/cvpr.2018.00614)**Peng Wang, Ruigang Yang, Binbin Cao et al.*66 citations*
689. **[Deep Density Clustering of Unconstrained Faces ↗](https://doi.org/10.1109/cvpr.2018.00848)**Wei-An Lin, Jun-Cheng Chen, Carlos D. Castillo et al.*66 citations*
690. **[Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View ↗](https://doi.org/10.1109/cvpr.2018.00405)**Shuran Song, Andy Zeng, Angel X. Chang et al.*66 citations*
691. **[Learning Strict Identity Mappings in Deep Residual Networks ↗](https://doi.org/10.1109/cvpr.2018.00466)**Xin Yu, Zhiding Yu, Srikumar Ramalingam*66 citations*
692. **[Mesoscopic Facial Geometry Inference Using Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00877)**Loc Huynh, Weikai Chen, Shunsuke Saito et al.*66 citations*
693. **[Multi-task Adversarial Network for Disentangled Feature Learning ↗](https://doi.org/10.1109/cvpr.2018.00394)**Yang Liu, Zhaowen Wang, Hailin Jin et al.*66 citations*
694. **[Weakly Supervised Phrase Localization with Multi-scale Anchored Transformer Network ↗](https://doi.org/10.1109/cvpr.2018.00597)**Fang Zhao, Jianshu Li, Jian Cun Zhao et al.*66 citations*
695. **[A Low Power, High Throughput, Fully Event-Based Stereo System ↗](https://doi.org/10.1109/cvpr.2018.00786)**Alexander Andreopoulos, Hirak Jyoti Kashyap, Tapan K. Nayak et al.*64 citations*
696. **[A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation ↗](https://doi.org/10.1109/cvpr.2018.00439)**Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli et al.*64 citations*
697. **[Bootstrapping the Performance of Webly Supervised Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00148)**Tong Shen, Guosheng Lin, Chunhua Shen et al.*64 citations*
698. **[End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching ↗](https://doi.org/10.1109/cvpr.2018.00210)**Georgios Georgakis, Srikrishna Karanam, Ziyan Wu et al.*64 citations*
699. **[Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection ↗](https://doi.org/10.1109/cvpr.2018.00383)**David Novotný, Samuel Albanie, Diane Larlus et al.*64 citations*
700. **[Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks ↗](https://doi.org/10.1109/cvpr.2018.00711)**Ping Wei, Yang Liu, Tianmin Shu et al.*64 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/6/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/) … [6](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/6/) **7** [8](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/8/) [9](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/9/) [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/10/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/page/8/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018
