---
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 4 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/4/"
---
[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/4/)

[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 4

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

789 papers · page 4 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/3/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) … [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/5/)

301. **[Deep Level Sets for Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2017.65)**Ping Hu, Bing Shuai, Jun Liu et al.*204 citations*
302. **[Fast Fourier Color Constancy ↗](https://doi.org/10.1109/cvpr.2017.735)**Jonathan T. Barron, Yun‐Ta Tsai*204 citations*
303. **[What is the Space of Attenuation Coefficients in Underwater Computer Vision? ↗](https://doi.org/10.1109/cvpr.2017.68)**Derya Akkaynak, Tali Treibitz, Tom Shlesinger et al.*203 citations*
304. **[Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior ↗](https://doi.org/10.1109/cvpr.2017.742)**Jing Zhang, Yang Hua Cao, Shuai Fang et al.*201 citations*
305. **[Discovering Causal Signals in Images ↗](https://doi.org/10.1109/cvpr.2017.14)**David López-Paz, Robert Nishihara, Soumith Chintala et al.*200 citations*
306. **[Emotion Recognition in Context ↗](https://doi.org/10.1109/cvpr.2017.212)**Ronak Kosti, José Manuel Álvarez, Adrià Recasens et al.*200 citations*
307. **[Learning Diverse Image Colorization ↗](https://doi.org/10.1109/cvpr.2017.307)**Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh et al.*196 citations*
308. **[CERN: Confidence-Energy Recurrent Network for Group Activity Recognition ↗](https://doi.org/10.1109/cvpr.2017.453)**Tianmin Shu, Siniša Todorović, Song Chun Zhu*193 citations*
309. **[Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations ↗](https://doi.org/10.1109/cvpr.2017.138)**Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis et al.*192 citations*
310. **[Exploiting Saliency for Object Segmentation from Image Level Labels ↗](https://doi.org/10.1109/cvpr.2017.535)**Seong Joon Oh, Rodrigo Benenson, Anna Khoreva et al.*191 citations*
311. **[Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling ↗](https://doi.org/10.1109/cvpr.2017.140)**Alexander Richard, Hilde Kuehne, Jüergen Gall*191 citations*
312. **[Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation ↗](https://doi.org/10.1109/cvpr.2017.398)**Kuan-Lun Tseng, Yen-Liang Lin, Winston H. Hsu et al.*190 citations*
313. **[Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution ↗](https://doi.org/10.1109/cvpr.2017.737)**Jiawei Zhang, Jinshan Pan, Wei‐Sheng Lai et al.*190 citations*
314. **[Unsupervised Learning of Long-Term Motion Dynamics for Videos ↗](https://doi.org/10.1109/cvpr.2017.751)**Zelun Luo, Boya Peng, De-An Huang et al.*189 citations*
315. **[Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks ↗](https://doi.org/10.1109/cvpr.2017.269)**Amir Soltani, Haibin Huang, Jiajun Wu et al.*186 citations*
316. **[Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning ↗](https://doi.org/10.1109/cvpr.2017.730)**Amit Shaked, Lior Wolf*185 citations*
317. **[Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection ↗](https://doi.org/10.1109/cvpr.2017.418)**Nikolay Savinov, Akihito Seki, Ľubor Ladický et al.*184 citations*
318. **[Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations ↗](https://doi.org/10.1109/cvpr.2017.105)**Ahmet İşcen, Giorgos Tolias, Yannis Avrithis et al.*183 citations*
319. **[Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories ↗](https://doi.org/10.1109/cvpr.2017.619)**Jian Shi, Yue Dong, Hao Su et al.*182 citations*
320. **[Semantic Amodal Segmentation ↗](https://doi.org/10.1109/cvpr.2017.320)**Yan Zhu, Yuandong Tian, Dimitris Metaxas et al.*182 citations*
321. **[Video Desnowing and Deraining Based on Matrix Decomposition ↗](https://doi.org/10.1109/cvpr.2017.303)**Weihong Ren, Jiandong Tian, Zhi Jun Han et al.*181 citations*
322. **[Level Playing Field for Million Scale Face Recognition ↗](https://doi.org/10.1109/cvpr.2017.363)**Aaron Nech, Ira Kemelmacher-Shlizerman*180 citations*
323. **[Captioning Images with Diverse Objects ↗](https://doi.org/10.1109/cvpr.2017.130)**Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach et al.*179 citations*
324. **[Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos ↗](https://doi.org/10.1109/cvpr.2017.153)**Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu et al.*178 citations*
325. **[End-to-End Representation Learning for Correlation Filter Based Tracking ↗](https://doi.org/10.1109/cvpr.2017.531)**Jack Valmadre, Luca Bertinetto, João F. Henriques et al.*178 citations*
326. **[KillingFusion: Non-rigid 3D Reconstruction without Correspondences ↗](https://doi.org/10.1109/cvpr.2017.581)**Miroslava Slavcheva, Maximilian Baust, Daniel Cremers et al.*177 citations*
327. **[Tracking by Natural Language Specification ↗](https://doi.org/10.1109/cvpr.2017.777)**Zhenyang Li, Tao Ran, Efstratios Gavves et al.*177 citations*
328. **[Active Convolution: Learning the Shape of Convolution for Image Classification ↗](https://doi.org/10.1109/cvpr.2017.200)**Yunho Jeon, Junmo Kim*176 citations*
329. **[Designing Effective Inter-Pixel Information Flow for Natural Image Matting ↗](https://doi.org/10.1109/cvpr.2017.32)**Yağız Aksoy, Tunç Ozan Aydın, Marc Pollefeys*176 citations*
330. **[Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer ↗](https://doi.org/10.1109/cvpr.2017.759)**Xin Wang, Geoffrey Oxholm, Da Zhang et al.*176 citations*
331. **[Inverse Compositional Spatial Transformer Networks ↗](https://doi.org/10.1109/cvpr.2017.242)**Chen-Hsuan Lin, Simon Lucey*172 citations*
332. **[Linking Image and Text with 2-Way Nets ↗](https://doi.org/10.1109/cvpr.2017.201)**Aviv Eisenschtat, Lior Wolf*171 citations*
333. **[Primary Object Segmentation in Videos Based on Region Augmentation and Reduction ↗](https://doi.org/10.1109/cvpr.2017.784)**Yeong Jun Koh, Chang‐Su Kim*171 citations*
334. **[Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? ↗](https://doi.org/10.1109/cvpr.2017.654)**Torsten Sattler, Akihiko Torii, Josef Šivic et al.*170 citations*
335. **[Recurrent Modeling of Interaction Context for Collective Activity Recognition ↗](https://doi.org/10.1109/cvpr.2017.783)**Minsi Wang, Bingbing Ni, Xiaokang Yang*170 citations*
336. **[Conditional Similarity Networks ↗](https://doi.org/10.1109/cvpr.2017.193)**Andreas Veit, Serge Belongie, Theofanis Karaletsos*169 citations*
337. **[Deep Sequential Context Networks for Action Prediction ↗](https://doi.org/10.1109/cvpr.2017.390)**Yu Kong, Zhiqiang Tao, Yun Fu*169 citations*
338. **[A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors ↗](https://doi.org/10.1109/cvpr.2017.301)**Tai-Xiang Jiang, Ting‐Zhu Huang, Xi-Le Zhao et al.*168 citations*
339. **[Dense Captioning with Joint Inference and Visual Context ↗](https://doi.org/10.1109/cvpr.2017.214)**Linjie Yang, Kevin Tang, Jianchao Yang et al.*167 citations*
340. **[POSEidon: Face-from-Depth for Driver Pose Estimation ↗](https://doi.org/10.1109/cvpr.2017.583)**Guido Borghi, Marco Venturelli, Roberto Vezzani et al.*167 citations*
341. **[AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos ↗](https://doi.org/10.1109/cvpr.2017.604)**Amlan Kar, Nishant Rai, Karan Sikka et al.*165 citations*
342. **[Attend to You: Personalized Image Captioning with Context Sequence Memory Networks ↗](https://doi.org/10.1109/cvpr.2017.681)**Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim*163 citations*
343. **[Object Detection in Videos with Tubelet Proposal Networks ↗](https://doi.org/10.1109/cvpr.2017.101)**Kai Kang, Hongsheng Li, Tong Xiao et al.*161 citations*
344. **[SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks ↗](https://doi.org/10.1109/cvpr.2017.91)**Ayan Sinha, Asim Unmesh, Qixing Huang et al.*159 citations*
345. **[Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing ↗](https://doi.org/10.1109/cvpr.2017.716)**Wei Li, Farnaz Abtahi, Zhigang Zhu*158 citations*
346. **[Automatic Understanding of Image and Video Advertisements ↗](https://doi.org/10.1109/cvpr.2017.123)**Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang et al.*157 citations*
347. **[From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis ↗](https://doi.org/10.1109/cvpr.2017.653)**Yang Long, Li Liu, Ling Shao et al.*157 citations*
348. **[Generating the Future with Adversarial Transformers ↗](https://doi.org/10.1109/cvpr.2017.319)**Carl Vondrick, Antonio B. Torralba*157 citations*
349. **[Weakly Supervised Semantic Segmentation Using Web-Crawled Videos ↗](https://doi.org/10.1109/cvpr.2017.239)**Seunghoon Hong, Donghun Yeo, Suha Kwak et al.*157 citations*
350. **[BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.63)**Bohyung Han, Jack Sim, Hartwig Adam*156 citations*
351. **[IM2CAD ↗](https://doi.org/10.1109/cvpr.2017.260)**Hamid Izadinia, Qi Shan, Steven M. Seitz*156 citations*
352. **[Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects ↗](https://doi.org/10.1109/cvpr.2017.559)**Ting Yao, Yingwei Pan, Yehao Li et al.*155 citations*
353. **[Boundary-Aware Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2017.70)**Zeeshan Hayder, Xuming He, Mathieu Salzmann*153 citations*
354. **[3D Face Morphable Models "In-the-Wild" ↗](https://doi.org/10.1109/cvpr.2017.580)**James G. Booth, Epameinondas Antonakos, Stylianos Ploumpis et al.*152 citations*
355. **[HSfM: Hybrid Structure-from-Motion ↗](https://doi.org/10.1109/cvpr.2017.257)**Hainan Cui, Xiang Gao, Shuhan Shen et al.*152 citations*
356. **[Counting Everyday Objects in Everyday Scenes ↗](https://doi.org/10.1109/cvpr.2017.471)**Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju et al.*151 citations*
357. **[Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation ↗](https://doi.org/10.1109/cvpr.2017.132)**Chengde Wan, Thomas Probst, Luc Van Gool et al.*151 citations*
358. **[Growing a Brain: Fine-Tuning by Increasing Model Capacity ↗](https://doi.org/10.1109/cvpr.2017.323)**Yu-Xiong Wang, Deva Ramanan, Martial Hebert*151 citations*
359. **[Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.52)**Pichao Wang, Wanqing Li, Zhimin Gao et al.*151 citations*
360. **[Temporal Action Localization by Structured Maximal Sums ↗](https://doi.org/10.1109/cvpr.2017.342)**Zehuan Yuan, Jonathan Stroud, Tong Lü et al.*151 citations*
361. **[Zero-Shot Action Recognition with Error-Correcting Output Codes ↗](https://doi.org/10.1109/cvpr.2017.117)**Jie Qin, Li Liu, Ling Shao et al.*151 citations*
362. **[Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders ↗](https://doi.org/10.1109/cvpr.2017.570)**Xin Feng Yu, Fatih Porikli*150 citations*
363. **[Single Image Reflection Suppression ↗](https://doi.org/10.1109/cvpr.2017.190)**Nikolaos Arvanitopoulos, Radhakrishna Achanta, Sabine E. Susstrunk*149 citations*
364. **[Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths ↗](https://doi.org/10.1109/cvpr.2017.553)**Yanan Li, Donghui Wang, Huanhang Hu et al.*149 citations*
365. **[All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation ↗](https://doi.org/10.1109/cvpr.2017.539)**Di Xie, Jiang Xiong, Shiliang Pu*148 citations*
366. **[Forecasting Interactive Dynamics of Pedestrians with Fictitious Play ↗](https://doi.org/10.1109/cvpr.2017.493)**Wei-Chiu Ma, De-An Huang, Namhoon Lee et al.*146 citations*
367. **[Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation ↗](https://doi.org/10.1109/cvpr.2017.428)**Binghui Chen, Weihong Deng, Junping Du*146 citations*
368. **[Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach ↗](https://doi.org/10.1109/cvpr.2017.229)**Aidean Sharghi, Jacob Laurel, Boqing Gong*146 citations*
369. **[Deep Multitask Architecture for Integrated 2D and 3D Human Sensing ↗](https://doi.org/10.1109/cvpr.2017.501)**Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu*145 citations*
370. **[Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding ↗](https://doi.org/10.1109/cvpr.2017.720)**José Lezama, Qiang Qiu, Guillermo Sapiro*145 citations*
371. **[Asynchronous Temporal Fields for Action Recognition ↗](https://doi.org/10.1109/cvpr.2017.599)**Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi et al.*144 citations*
372. **[Comprehension-Guided Referring Expressions ↗](https://doi.org/10.1109/cvpr.2017.333)**Ruotian Luo, Gregory Shakhnarovich*144 citations*
373. **[Deep Visual-Semantic Quantization for Efficient Image Retrieval ↗](https://doi.org/10.1109/cvpr.2017.104)**Yue Cao, Mingsheng Long, Jianmin Wang et al.*143 citations*
374. **[Loss Max-Pooling for Semantic Image Segmentation ↗](https://doi.org/10.1109/cvpr.2017.749)**Samuel Rota Bulò, Gerhard Neuhold, Peter Kontschieder*143 citations*
375. **[Hierarchical Boundary-Aware Neural Encoder for Video Captioning ↗](https://doi.org/10.1109/cvpr.2017.339)**Lorenzo Baraldi, Costantino Grana, Rita Cucchiara*142 citations*
376. **[Point to Set Similarity Based Deep Feature Learning for Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2017.534)**Sanping Zhou, Jinjun Wang, Jiayun Wang et al.*142 citations*
377. **[An Efficient Algebraic Solution to the Perspective-Three-Point Problem ↗](https://doi.org/10.1109/cvpr.2017.491)**Tong Ke, Stergios I. Roumeliotis*141 citations*
378. **[Photorealistic Facial Texture Inference Using Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.250)**Shunsuke Saito, Lingyu Wei, Liwen Hu et al.*141 citations*
379. **[Understanding Traffic Density from Large-Scale Web Camera Data ↗](https://doi.org/10.1109/cvpr.2017.454)**Shanghang Zhang, Guanhang Wu, João Paulo Costeira et al.*141 citations*
380. **[Weakly Supervised Dense Video Captioning ↗](https://doi.org/10.1109/cvpr.2017.548)**Zhiqiang Shen, Jianguo Li, Su Zhou et al.*141 citations*
381. **[Top-Down Visual Saliency Guided by Captions ↗](https://doi.org/10.1109/cvpr.2017.334)**Vasili Ramanishka, Abir Das, Jianming Zhang et al.*140 citations*
382. **[Synthesizing Normalized Faces from Facial Identity Features ↗](https://doi.org/10.1109/cvpr.2017.361)**Forrester Cole, David Belanger, Dilip Krishnan et al.*139 citations*
383. **[Polarimetric Multi-view Stereo ↗](https://doi.org/10.1109/cvpr.2017.47)**Zhaopeng Cui, Jinwei Gu, Boxin Shi et al.*138 citations*
384. **[Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search ↗](https://doi.org/10.1109/cvpr.2017.652)**Bo Zhao, Jiashi Feng, Xiao Ying Wu et al.*137 citations*
385. **[Convolutional Random Walk Networks for Semantic Image Segmentation ↗](https://doi.org/10.1109/cvpr.2017.650)**Gedas Bertasius, Lorenzo Torresani, Stella X. Yu et al.*136 citations*
386. **[Efficient Solvers for Minimal Problems by Syzygy-Based Reduction ↗](https://doi.org/10.1109/cvpr.2017.256)**Viktor Larsson, Kalle Åström, Magnus Oskarsson*136 citations*
387. **[End-to-End Training of Hybrid CNN-CRF Models for Stereo ↗](https://doi.org/10.1109/cvpr.2017.159)**Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov et al.*134 citations*
388. **[Fine-Grained Recognition as HSnet Search for Informative Image Parts ↗](https://doi.org/10.1109/cvpr.2017.688)**Michael Lam, Behrooz Mahasseni, Siniša Todorović*134 citations*
389. **[Consistent-Aware Deep Learning for Person Re-identification in a Camera Network ↗](https://doi.org/10.1109/cvpr.2017.362)**Ji Lin, Liangliang Ren, Jiwen Lu et al.*133 citations*
390. **[Scale-Aware Face Detection ↗](https://doi.org/10.1109/cvpr.2017.207)**Zekun Hao, Yu Liu, Hongwei Qin et al.*133 citations*
391. **[Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/cvpr.2017.55)**Junwu Weng, Chaoqun Weng, Junsong Yuan*133 citations*
392. **[Deep Structured Learning for Facial Action Unit Intensity Estimation ↗](https://doi.org/10.1109/cvpr.2017.605)**Robert Walecki, Ognjen Oggi Rudovic, Vladimir Pavlović et al.*132 citations*
393. **[Semantically Consistent Regularization for Zero-Shot Recognition ↗](https://doi.org/10.1109/cvpr.2017.220)**Pedro M. Morgado, Nuno M. Vasconcelos*132 citations*
394. **[Sports Field Localization via Deep Structured Models ↗](https://doi.org/10.1109/cvpr.2017.427)**Namdar Homayounfar, Sanja Fidler, Raquel Urtasun*132 citations*
395. **[Improving Interpretability of Deep Neural Networks with Semantic Information ↗](https://doi.org/10.1109/cvpr.2017.110)**Yinpeng Dong, Hang Su, Jun Zhu et al.*130 citations*
396. **[Towards a Quality Metric for Dense Light Fields ↗](https://doi.org/10.1109/cvpr.2017.396)**Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin et al.*130 citations*
397. **[Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials ↗](https://doi.org/10.1109/cvpr.2017.478)**Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong et al.*129 citations*
398. **[Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling ↗](https://doi.org/10.1109/cvpr.2017.760)**Spyros Gidaris, Nikos Komodakis A*129 citations*
399. **[Procedural Generation of Videos to Train Deep Action Recognition Networks ↗](https://doi.org/10.1109/cvpr.2017.278)**César Roberto de Souza, Adrien Gaidon, Yohann Cabon et al.*129 citations*
400. **[Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval ↗](https://doi.org/10.1109/cvpr.2017.282)**Devraj Mandal, Kunal N. Chaudhury, Soma Biswas*128 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/3/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/papers/page/5/) … [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/5/)

- [← 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
