---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 1,299 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019 · page 3 of 13, the most cited first…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/3/"
---
[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/2019/papers/page/3/)

[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/) / [2019](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/) / [papers](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/) / page 3

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019: all accepted papers

1,299 papers · page 3 of 13 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/2/) **3** [4](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/4/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/10/) … [13](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/13/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/4/)

201. **[Progressive Feature Alignment for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00072)**Chaoqi Chen, Weiping Xie, Wenbing Huang et al.*446 citations*
202. **[Learning Correspondence From the Cycle-Consistency of Time ↗](https://doi.org/10.1109/cvpr.2019.00267)**Xiaolong Wang, Allan Jabri, Alexei A. Efros*445 citations*
203. **[Long-Term Feature Banks for Detailed Video Understanding ↗](https://doi.org/10.1109/cvpr.2019.00037)**Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan et al.*441 citations*
204. **[Visual Tracking via Adaptive Spatially-Regularized Correlation Filters ↗](https://doi.org/10.1109/cvpr.2019.00480)**Kenan Dai, Dong Wang, Huchuan Lu et al.*434 citations*
205. **[Knowledge-Embedded Routing Network for Scene Graph Generation ↗](https://doi.org/10.1109/cvpr.2019.00632)**Tianshui Chen, Weihao Yu, Riquan Chen et al.*432 citations*
206. **[Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00874)**Amy T. Zhao, Guha Balakrishnan, Frédo Durand et al.*430 citations*
207. **[Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training ↗](https://doi.org/10.1109/cvpr.2019.00871)**Feng Zheng, Cheng Dan Deng, Xing Sun et al.*428 citations*
208. **[Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem ↗](https://doi.org/10.1109/cvpr.2019.00013)**Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf*428 citations*
209. **[Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis ↗](https://doi.org/10.1109/cvpr.2019.00152)**Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng et al.*427 citations*
210. **[Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video ↗](https://doi.org/10.1109/cvpr.2019.00803)**Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu et al.*425 citations*
211. **[DeepView: View Synthesis With Learned Gradient Descent ↗](https://doi.org/10.1109/cvpr.2019.00247)**John Flynn, Michael J. Broxton, Paul E. Debevec et al.*424 citations*
212. **[Domain-Specific Batch Normalization for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00753)**Woong-Gi Chang, Tackgeun You, Seonguk Seo et al.*424 citations*
213. **[What Do Single-View 3D Reconstruction Networks Learn? ↗](https://doi.org/10.1109/cvpr.2019.00352)**Maxim Tatarchenko, Stephan R. Richter, René Ranftl et al.*424 citations*
214. **[Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss ↗](https://doi.org/10.1109/cvpr.2019.00802)**Lele Chen, Ross K. Maddox, Zhiyao Duan et al.*423 citations*
215. **[Unsupervised Person Re-Identification by Soft Multilabel Learning ↗](https://doi.org/10.1109/cvpr.2019.00225)**Hong-Xing Yu, Wei‐Shi Zheng, Ancong Wu et al.*421 citations*
216. **[Adaptive Pyramid Context Network for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00770)**Junjun He, Zhongying Deng, Lei Zhou et al.*420 citations*
217. **[Events-To-Video: Bringing Modern Computer Vision to Event Cameras ↗](https://doi.org/10.1109/cvpr.2019.00398)**Henri Rebecq, René Ranftl, Vladlen Koltun et al.*420 citations*
218. **[A Sufficient Condition for Convergences of Adam and RMSProp ↗](https://doi.org/10.1109/cvpr.2019.01138)**Fangyu Zou, Li Shen, Zequn Jie et al.*419 citations*
219. **[Interaction-And-Aggregation Network for Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00954)**Ruibing Hou, Bingpeng Ma, Hong Chang et al.*419 citations*
220. **[In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images ↗](https://doi.org/10.1109/cvpr.2019.01289)**Marin Oršić, Ivan Krešo, Petra Bevandić et al.*416 citations*
221. **[Unsupervised Deep Tracking ↗](https://doi.org/10.1109/cvpr.2019.00140)**Ning Wang, Yibing Song, Chao Ma et al.*416 citations*
222. **[Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction ↗](https://doi.org/10.1109/cvpr.2019.01058)**Dejing Xu, Jun Xiao, Zhou Li Zhao et al.*415 citations*
223. **[Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00405)**Jia-Xing Zhao, Yang Hua Cao, Deng-Ping Fan et al.*412 citations*
224. **[Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition ↗](https://doi.org/10.1109/cvpr.2019.00790)**Yinpeng Dong, Hang Su, Baoyuan Wu et al.*411 citations*
225. **[Improving Semantic Segmentation via Video Propagation and Label Relaxation ↗](https://doi.org/10.1109/cvpr.2019.00906)**Yi Zhu, Karan Sapra, Fitsum A. Reda et al.*411 citations*
226. **[DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image ↗](https://doi.org/10.1109/cvpr.2019.00343)**Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang et al.*410 citations*
227. **[Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels ↗](https://doi.org/10.1109/cvpr.2019.00177)**Kai Zhang, Wangmeng Zuo, Lei Zhang*408 citations*
228. **[Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks ↗](https://doi.org/10.1109/cvpr.2019.01291)**Stephen James, Paul Wohlhart, Mrinal Kalakrishnan et al.*408 citations*
229. **[Foreground-Aware Image Inpainting ↗](https://doi.org/10.1109/cvpr.2019.00599)**Wei Xiong, Jiahui Yu, Zhe Lin et al.*402 citations*
230. **[Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning ↗](https://doi.org/10.1109/cvpr.2019.00173)**Ruoteng Li, Loong Fah Cheong, Robby T. Tan*402 citations*
231. **[Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection ↗](https://doi.org/10.1109/cvpr.2019.01026)**Rui Shao, Xiangyuan Lan, Jiawei Li et al.*402 citations*
232. **[UPSNet: A Unified Panoptic Segmentation Network ↗](https://doi.org/10.1109/cvpr.2019.00902)**Yuwen Xiong, Renjie Liao, Hengshuang Zhao et al.*402 citations*
233. **[Understanding the Limitations of CNN-Based Absolute Camera Pose Regression ↗](https://doi.org/10.1109/cvpr.2019.00342)**Torsten Sattler, Qunjie Zhou, Marc Pollefeys et al.*401 citations*
234. **[Adaptive NMS: Refining Pedestrian Detection in a Crowd ↗](https://doi.org/10.1109/cvpr.2019.00662)**Songtao Liu, Di Huang, Yunhong Wang*400 citations*
235. **[Finding Task-Relevant Features for Few-Shot Learning by Category Traversal ↗](https://doi.org/10.1109/cvpr.2019.00009)**Hongyang Li, David Eigen, Samuel Dodge et al.*400 citations*
236. **[C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition ↗](https://doi.org/10.1109/cvpr.2019.00241)**Poojan Oza, Vishal M. Patel*399 citations*
237. **[Composing Text and Image for Image Retrieval - an Empirical Odyssey ↗](https://doi.org/10.1109/cvpr.2019.00660)**Nam Vo, Lu Jiang, Chen Sun et al.*399 citations*
238. **[End-To-End Interpretable Neural Motion Planner ↗](https://doi.org/10.1109/cvpr.2019.00886)**Wenyuan Zeng, Wenjie Luo, Simon Suo et al.*398 citations*
239. **[Depth-Attentional Features for Single-Image Rain Removal ↗](https://doi.org/10.1109/cvpr.2019.00821)**Xiaowei Hu, Chi‐Wing Fu, Lei Zhu et al.*390 citations*
240. **[Attention-Based Dropout Layer for Weakly Supervised Object Localization ↗](https://doi.org/10.1109/cvpr.2019.00232)**Junsuk Choe, Hyunjung Shim*388 citations*
241. **[Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00048)**Yifan Sun, Qin Xu, Yali Li et al.*388 citations*
242. **[Transferrable Prototypical Networks for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00234)**Yingwei Pan, Ting Yao, Yehao Li et al.*388 citations*
243. **[Quantization Networks ↗](https://doi.org/10.1109/cvpr.2019.00748)**Jiwei Yang, Xu Shen, Jun Xing et al.*387 citations*
244. **[RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00534)**Leonid Karlinsky, Joseph Shtok, Sivan Harary et al.*386 citations*
245. **[STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing ↗](https://doi.org/10.1109/cvpr.2019.00379)**Ming Liu, Yukang Ding, Min Xia et al.*384 citations*
246. **[BAD SLAM: Bundle Adjusted Direct RGB-D SLAM ↗](https://doi.org/10.1109/cvpr.2019.00022)**Thomas Schöps, Torsten Sattler, Marc Pollefeys*383 citations*
247. **[Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2019.00680)**Peng Gao, Zhengkai Jiang, Haoxuan You et al.*381 citations*
248. **[Image Super-Resolution by Neural Texture Transfer ↗](https://doi.org/10.1109/cvpr.2019.00817)**Zhifei Zhang, Zhaowen Wang, Zhe Lin et al.*379 citations*
249. **[Progressive Pose Attention Transfer for Person Image Generation ↗](https://doi.org/10.1109/cvpr.2019.00245)**Zhen Zhu, Tengteng Huang, Baoguang Shi et al.*376 citations*
250. **[Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss ↗](https://doi.org/10.1109/cvpr.2019.00448)**Sangil Jung, Changyong Son, Seohyung Lee et al.*375 citations*
251. **[Adapting Object Detectors via Selective Cross-Domain Alignment ↗](https://doi.org/10.1109/cvpr.2019.00078)**Xinge Zhu, Jiangmiao Pang, Ceyuan Yang et al.*374 citations*
252. **[LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving ↗](https://doi.org/10.1109/cvpr.2019.01296)**Gregory P. Meyer, Ankit Laddha, Eric Kee et al.*374 citations*
253. **[Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections ↗](https://doi.org/10.1109/cvpr.2019.00397)**Hongyun Gao, Xin Tao, Xiaoyong Shen et al.*372 citations*
254. **[Gaussian Temporal Awareness Networks for Action Localization ↗](https://doi.org/10.1109/cvpr.2019.00043)**Fuchen Long, Ting Yao, Zhaofan Qiu et al.*369 citations*
255. **[Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks ↗](https://doi.org/10.1109/cvpr.2019.00629)**Xiaolong Jiang, Zehao Xiao, Baochang Zhang et al.*366 citations*
256. **[SOSNet: Second Order Similarity Regularization for Local Descriptor Learning ↗](https://doi.org/10.1109/cvpr.2019.01127)**Yurun Tian, Xin Feng Yu, Bin Fan et al.*366 citations*
257. **[Capture, Learning, and Synthesis of 3D Speaking Styles ↗](https://doi.org/10.1109/cvpr.2019.01034)**Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw et al.*365 citations*
258. **[SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images ↗](https://doi.org/10.1109/cvpr.2019.00222)**Caijing Miao, Lingxi Xie, Fang Wan et al.*363 citations*
259. **[Bi-Directional Cascade Network for Perceptual Edge Detection ↗](https://doi.org/10.1109/cvpr.2019.00395)**Jianzhong He, Shiliang Steven Zhang, Ming Yang et al.*361 citations*
260. **[GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving ↗](https://doi.org/10.1109/cvpr.2019.00111)**Buyu Li, Wanli Ouyang, Lu Sheng et al.*361 citations*
261. **[Variational Convolutional Neural Network Pruning ↗](https://doi.org/10.1109/cvpr.2019.00289)**Chenglong Zhao, Bingbing Ni, Jian Zhang et al.*361 citations*
262. **[DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images ↗](https://doi.org/10.1109/cvpr.2019.00548)**Yuying Ge, Ruimao Zhang, Xiaogang Wang et al.*358 citations*
263. **[DLOW: Domain Flow for Adaptation and Generalization ↗](https://doi.org/10.1109/cvpr.2019.00258)**Rui Gong, Wen Li, Yuhua Chen et al.*356 citations*
264. **[“Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors ↗](https://doi.org/10.1109/cvpr.2019.01128)**Yosef Gandelsman, Assaf Shocher, Michal Irani*355 citations*
265. **[3D Point Capsule Networks ↗](https://doi.org/10.1109/cvpr.2019.00110)**Yongheng Zhao, Tolga Birdal, Haowen Deng et al.*351 citations*
266. **[MAGSAC: Marginalizing Sample Consensus ↗](https://doi.org/10.1109/cvpr.2019.01044)**Dániel Baráth, Jiřı́ Matas, Jana Noskova*351 citations*
267. **[ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding ↗](https://doi.org/10.1109/cvpr.2019.00334)**Ning Liu, Yongchao Long, Changqing Zou et al.*350 citations*
268. **[Rethinking Knowledge Graph Propagation for Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.01175)**Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang et al.*350 citations*
269. **[Animating Arbitrary Objects via Deep Motion Transfer ↗](https://doi.org/10.1109/cvpr.2019.00248)**Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov et al.*349 citations*
270. **[Exploring Object Relation in Mean Teacher for Cross-Domain Detection ↗](https://doi.org/10.1109/cvpr.2019.01172)**Qi Cai, Yingwei Pan, Chong‐Wah Ngo et al.*347 citations*
271. **[FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image ↗](https://doi.org/10.1109/cvpr.2019.00118)**Tsun-Yi Yang, Yi-Ting Chen, Yen‐Yu Lin et al.*347 citations*
272. **[Learning Not to Learn: Training Deep Neural Networks With Biased Data ↗](https://doi.org/10.1109/cvpr.2019.00922)**Byungju Kim, Hyunwoo Kim, Kyungsu Kim et al.*345 citations*
273. **[AANet: Attribute Attention Network for Person Re-Identifications ↗](https://doi.org/10.1109/cvpr.2019.00730)**Chiat-Pin Tay, Sharmili Roy, Kim–Hui Yap*344 citations*
274. **[TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments ↗](https://doi.org/10.1109/cvpr.2019.01282)**Howard Chen, Alane Suhr, Dipendra Kumar Misra et al.*343 citations*
275. **[Single Image Deraining: A Comprehensive Benchmark Analysis ↗](https://doi.org/10.1109/cvpr.2019.00396)**Siyuan Li, Iago Breno Araujo, Wenqi Ren et al.*342 citations*
276. **[Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos ↗](https://doi.org/10.1109/cvpr.2019.01227)**Romero F.A.B. de Morais, Vuong Le, Truyen Tran et al.*341 citations*
277. **[Lending Orientation to Neural Networks for Cross-View Geo-Localization ↗](https://doi.org/10.1109/cvpr.2019.00577)**Liu Liu, Hongdong Li*336 citations*
278. **[Learning Individual Styles of Conversational Gesture ↗](https://doi.org/10.1109/cvpr.2019.00361)**Shiry Ginosar, Amir Bar, Gefen Kohavi et al.*335 citations*
279. **[Monocular Total Capture: Posing Face, Body, and Hands in the Wild ↗](https://doi.org/10.1109/cvpr.2019.01122)**Donglai Xiang, Hanbyul Joo, Yaser Ajmal Sheikh*335 citations*
280. **[Feature Transfer Learning for Face Recognition With Under-Represented Data ↗](https://doi.org/10.1109/cvpr.2019.00585)**Xi Peng Yin, Xiang Yu, Kihyuk Sohn et al.*334 citations*
281. **[Learning Active Contour Models for Medical Image Segmentation ↗](https://doi.org/10.1109/cvpr.2019.01190)**Chen Xu, Bryan M. Williams, Srinivasa Rao Vallabhaneni et al.*334 citations*
282. **[Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection ↗](https://doi.org/10.1109/cvpr.2019.01274)**Taekyung Kim, Minki Jeong, Seunghyeon Kim et al.*333 citations*
283. **[Domain-Symmetric Networks for Adversarial Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00517)**Yabin Zhang, Hui Tang, Kui Jia et al.*332 citations*
284. **[Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision ↗](https://doi.org/10.1109/cvpr.2019.00795)**Soubhik Sanyal, Timo Bolkart, Haiwen Feng et al.*332 citations*
285. **[Generating 3D Adversarial Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.00935)**Chong Xiang, Charles R. Qi, Bo Li*331 citations*
286. **[MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment ↗](https://doi.org/10.1109/cvpr.2019.00134)**Da Zhang, Xiyang Dai, Xin Eric Wang et al.*331 citations*
287. **[Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00423)**Zhenyu Zhang, Zhen Cui, Chunyan Xu et al.*331 citations*
288. **[Segmentation-Driven 6D Object Pose Estimation ↗](https://doi.org/10.1109/cvpr.2019.00350)**Yinlin Hu, Joachim Hugonot, Pascal Fua et al.*331 citations*
289. **[Interpreting CNNs via Decision Trees ↗](https://doi.org/10.1109/cvpr.2019.00642)**Quanshi Zhang, Yu Yang, Haotian Ma et al.*330 citations*
290. **[Pixel-Adaptive Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2019.01142)**Hang Su, Varun Jampani, Deqing Sun et al.*330 citations*
291. **[Graph Convolutional Tracking ↗](https://doi.org/10.1109/cvpr.2019.00478)**Junyu Gao, Tianzhu Zhang, Changsheng Xu*328 citations*
292. **[Leveraging the Invariant Side of Generative Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.00758)**Jingjing Li, Mengmeng Jing, Ke Lü et al.*328 citations*
293. **[Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining ↗](https://doi.org/10.1109/cvpr.2019.00860)**Rajeev Yasarla, Vishal M. Patel*328 citations*
294. **[Learning to Reconstruct People in Clothing From a Single RGB Camera ↗](https://doi.org/10.1109/cvpr.2019.00127)**Thiemo Alldieck, Marcus A. Magnor, Bharat Lal Bhatnagar et al.*326 citations*
295. **[VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild ↗](https://doi.org/10.1109/cvpr.2019.00335)**Yihang Lou, Yan Bai, Jun Liu et al.*326 citations*
296. **[GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud ↗](https://doi.org/10.1109/cvpr.2019.00407)**Li Yi, Wang Zhao, He Wang et al.*325 citations*
297. **[Learning to Learn From Noisy Labeled Data ↗](https://doi.org/10.1109/cvpr.2019.00519)**Junnan Li, Yongkang Wong, Qi Zhao et al.*324 citations*
298. **[Task-Free Continual Learning ↗](https://doi.org/10.1109/cvpr.2019.01151)**Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars*324 citations*
299. **[SelFlow: Self-Supervised Learning of Optical Flow ↗](https://doi.org/10.1109/cvpr.2019.00470)**Pengpeng Liu, Michael Rung-Tsong Lyu, Irwin King et al.*323 citations*
300. **[Pushing the Boundaries of View Extrapolation With Multiplane Images ↗](https://doi.org/10.1109/cvpr.2019.00026)**Pratul P. Srinivasan, Richard P. Tucker, Jonathan T. Barron et al.*322 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/) [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/2/) **3** [4](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/4/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/10/) … [13](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/13/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/page/4/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019