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

1,299 papers · page 2 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/)

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101. **[Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders ↗](https://doi.org/10.1109/cvpr.2019.00844)**Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha et al.*717 citations*
102. **[Towards VQA Models That Can Read ↗](https://doi.org/10.1109/cvpr.2019.00851)**Amanpreet Singh, Vivek Natarajan, Meet Shah et al.*711 citations*
103. **[Learning Loss for Active Learning ↗](https://doi.org/10.1109/cvpr.2019.00018)**Donggeun Yoo, In So Kweon*704 citations*
104. **[OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge ↗](https://doi.org/10.1109/cvpr.2019.00331)**Kenneth Marino, Mohammad Rastegari, Ali Farhadi et al.*703 citations*
105. **[A General and Adaptive Robust Loss Function ↗](https://doi.org/10.1109/cvpr.2019.00446)**Jonathan T. Barron*689 citations*
106. **[Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00069)**Zhun Zhong, Liang Zheng, Zhiming Luo et al.*685 citations*
107. **[Region Proposal by Guided Anchoring ↗](https://doi.org/10.1109/cvpr.2019.00308)**Jiaqi Wang, Kai Chen, Shuo Yang et al.*685 citations*
108. **[Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset ↗](https://doi.org/10.1109/cvpr.2019.01255)**Tianyu Wang, Xin She Yang, Ke Xu et al.*681 citations*
109. **[Structured Knowledge Distillation for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00271)**Yifan Liu, Ke Chen, Chris Liu et al.*681 citations*
110. **[MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00369)**Yazan Abu Farha, Jüergen Gall*671 citations*
111. **[Variational Information Distillation for Knowledge Transfer ↗](https://doi.org/10.1109/cvpr.2019.00938)**Sungsoo Ahn, Shell Xu Hu, Andreas Damianou et al.*671 citations*
112. **[Bidirectional Learning for Domain Adaptation of Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00710)**Yunsheng Li, Lu Yuan, Nuno M. Vasconcelos*670 citations*
113. **[CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.00536)**Chi Zhang, Guosheng Lin, Fayao Liu et al.*670 citations*
114. **[PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding ↗](https://doi.org/10.1109/cvpr.2019.00100)**Kaichun Mo, Shilin Zhu, Angel X. Chang et al.*667 citations*
115. **[Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference ↗](https://doi.org/10.1109/cvpr.2019.00567)**Yao Yao, Zixin Luo, Shiwei Li et al.*666 citations*
116. **[Label Propagation for Deep Semi-Supervised Learning ↗](https://doi.org/10.1109/cvpr.2019.00521)**Ahmet İşcen, Giorgos Tolias, Yannis Avrithis et al.*659 citations*
117. **[Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.00743)**Wenbin Li, Lei Wang, Jinglin Xu et al.*654 citations*
118. **[Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring ↗](https://doi.org/10.1109/cvpr.2019.00613)**Hongguang Zhang, Yuchao Dai, Hongdong Li et al.*652 citations*
119. **[Revisiting Self-Supervised Visual Representation Learning ↗](https://doi.org/10.1109/cvpr.2019.00202)**Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer*649 citations*
120. **[ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features ↗](https://doi.org/10.1109/cvpr.2019.00977)**Yue Wu, Wael AbdAlmageed, Prem Natarajan*647 citations*
121. **[Searching for a Robust Neural Architecture in Four GPU Hours ↗](https://doi.org/10.1109/cvpr.2019.00186)**Xuanyi Dong, Yi Ping Yang*640 citations*
122. **[MOTS: Multi-Object Tracking and Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00813)**Paul Voigtlaender, Michael Krause, Aljoša Ošep et al.*635 citations*
123. **[Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation ↗](https://doi.org/10.1109/cvpr.2019.01252)**Anurag Ranjan, Varun Jampani, Lukas Balles et al.*632 citations*
124. **[MirrorGAN: Learning Text-To-Image Generation by Redescription ↗](https://doi.org/10.1109/cvpr.2019.00160)**Tingting Qiao, Jing Zhang, Duanqing Xu et al.*628 citations*
125. **[Sea-Thru: A Method for Removing Water From Underwater Images ↗](https://doi.org/10.1109/cvpr.2019.00178)**Derya Akkaynak, Tali Treibitz*625 citations*
126. **[Learning From Synthetic Data for Crowd Counting in the Wild ↗](https://doi.org/10.1109/cvpr.2019.00839)**Qi Wang, Junyu Gao, Wei Lin et al.*621 citations*
127. **[CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark ↗](https://doi.org/10.1109/cvpr.2019.01112)**Jiefeng Li, Can Wang, Hao Zhu et al.*613 citations*
128. **[Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations ↗](https://doi.org/10.1109/cvpr.2019.00231)**Jiwoon Ahn, Sunghyun Cho, Suha Kwak*613 citations*
129. **[Unsupervised Embedding Learning via Invariant and Spreading Instance Feature ↗](https://doi.org/10.1109/cvpr.2019.00637)**Mang Ye, Xu Zhang, Pong Chi Yuen et al.*601 citations*
130. **[Stereo R-CNN Based 3D Object Detection for Autonomous Driving ↗](https://doi.org/10.1109/cvpr.2019.00783)**Peiliang Li, Xiaozhi Chen, Shaojie Shen*593 citations*
131. **[DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis ↗](https://doi.org/10.1109/cvpr.2019.00595)**Minfeng Zhu, Pingbo Pan, Wei Chen et al.*590 citations*
132. **[Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection ↗](https://doi.org/10.1109/cvpr.2019.00133)**Jia-Xing Zhong, Nannan Li, Weijie Kong et al.*588 citations*
133. **[Bounding Box Regression With Uncertainty for Accurate Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00300)**Yihui He, Chenchen Zhu, Jianren Wang et al.*582 citations*
134. **[F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.01052)**Yongqin Xian, Saurabh Sharma, Bernt Schiele et al.*581 citations*
135. **[Blind Super-Resolution With Iterative Kernel Correction ↗](https://doi.org/10.1109/cvpr.2019.00170)**Jinjin Gu, Hannan Lu, Wangmeng Zuo et al.*580 citations*
136. **[Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.01053)**Chen‐Yu Lee, Tanmay Batra, Mohammad Haris Baig et al.*577 citations*
137. **[OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations ↗](https://doi.org/10.1109/cvpr.2019.00301)**Pramuditha Perera, Ramesh M. Nallapati, Bing Xiang*575 citations*
138. **[Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion ↗](https://doi.org/10.1109/cvpr.2019.00108)**Alex Zihao Zhu, Liangzhe Yuan, Kenneth P. Chaney et al.*571 citations*
139. **[DeepVoxels: Learning Persistent 3D Feature Embeddings ↗](https://doi.org/10.1109/cvpr.2019.00254)**Vincent Sitzmann, Justus Thies, Felix Heide et al.*558 citations*
140. **[Towards Optimal Structured CNN Pruning via Generative Adversarial Learning ↗](https://doi.org/10.1109/cvpr.2019.00290)**Shaohui Lin, Rongrong Ji, Chenqian Yan et al.*555 citations*
141. **[Depth-Aware Video Frame Interpolation ↗](https://doi.org/10.1109/cvpr.2019.00382)**Wenbo Bao, Wei‐Sheng Lai, Chao Ma et al.*554 citations*
142. **[Recurrent Back-Projection Network for Video Super-Resolution ↗](https://doi.org/10.1109/cvpr.2019.00402)**Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita*554 citations*
143. **[ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2019.00941)**Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro et al.*550 citations*
144. **[Convolutional Mesh Regression for Single-Image Human Shape Reconstruction ↗](https://doi.org/10.1109/cvpr.2019.00463)**Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis*548 citations*
145. **[Learning to Compose Dynamic Tree Structures for Visual Contexts ↗](https://doi.org/10.1109/cvpr.2019.00678)**Kaihua Tang, Hanwang Zhang, Baoyuan Wu et al.*543 citations*
146. **[IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition ↗](https://doi.org/10.1109/cvpr.2019.00899)**Xiaoping Wu, Chi Zhan, Yu‐Kun Lai et al.*541 citations*
147. **[SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction ↗](https://doi.org/10.1109/cvpr.2019.01236)**Pu Zhang, Wanli Ouyang, Pengfei Zhang et al.*540 citations*
148. **[PifPaf: Composite Fields for Human Pose Estimation ↗](https://doi.org/10.1109/cvpr.2019.01225)**S. Kreiss, Lorenzo Bertoni, Alexandre Alahi*538 citations*
149. **[Salient Object Detection With Pyramid Attention and Salient Edges ↗](https://doi.org/10.1109/cvpr.2019.00154)**Wenguan Wang, Zhao Shuyang, Jianbing Shen et al.*535 citations*
150. **[ABC: A Big CAD Model Dataset for Geometric Deep Learning ↗](https://doi.org/10.1109/cvpr.2019.00983)**Sebastian Koch, Albert Matveev, Zhongshi Jiang et al.*534 citations*
151. **[Grid R-CNN ↗](https://doi.org/10.1109/cvpr.2019.00754)**Xin Lu, Buyu Li, Yuxin Yue et al.*533 citations*
152. **[Cross-Modal Self-Attention Network for Referring Image Segmentation ↗](https://doi.org/10.1109/cvpr.2019.01075)**Linwei Ye, Mrigank Rochan, Zhi Liu et al.*532 citations*
153. **[Destruction and Construction Learning for Fine-Grained Image Recognition ↗](https://doi.org/10.1109/cvpr.2019.00530)**Yue Chen, Yalong Bai, Wei Zhang et al.*532 citations*
154. **[Learning 3D Human Dynamics From Video ↗](https://doi.org/10.1109/cvpr.2019.00576)**Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen et al.*531 citations*
155. **[The Perfect Match: 3D Point Cloud Matching With Smoothed Densities ↗](https://doi.org/10.1109/cvpr.2019.00569)**Žan Gojčič, Caifa Zhou, Jan Dirk Wegner et al.*530 citations*
156. **[Edge-Labeling Graph Neural Network for Few-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.00010)**Jongmin Kim, Taesup Kim, Sungwoong Kim et al.*529 citations*
157. **[Meta-SR: A Magnification-Arbitrary Network for Super-Resolution ↗](https://doi.org/10.1109/cvpr.2019.00167)**Xuecai Hu, Haoyuan Mu, Xiangyu Zhang et al.*526 citations*
158. **[Pluralistic Image Completion ↗](https://doi.org/10.1109/cvpr.2019.00153)**Chuanxia Zheng, Tat‐Jen Cham, Jianfei Cai*522 citations*
159. **[Semantic Graph Convolutional Networks for 3D Human Pose Regression ↗](https://doi.org/10.1109/cvpr.2019.00354)**Long Zhao, Xi Peng, Yu Tian et al.*522 citations*
160. **[Knockoff Nets: Stealing Functionality of Black-Box Models ↗](https://doi.org/10.1109/cvpr.2019.00509)**Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz*521 citations*
161. **[See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks ↗](https://doi.org/10.1109/cvpr.2019.00374)**Xiankai Lu, Wenguan Wang, Chao Ma et al.*521 citations*
162. **[Explainability Methods for Graph Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2019.01103)**Phillip E. Pope, Soheil Kolouri, Mohammad Ghomi Rostami et al.*516 citations*
163. **[Learning Without Memorizing ↗](https://doi.org/10.1109/cvpr.2019.00528)**Prithviraj Dhar, Rajat Singh, Kuan–Chuan Peng et al.*516 citations*
164. **[TopNet: Structural Point Cloud Decoder ↗](https://doi.org/10.1109/cvpr.2019.00047)**Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi et al.*516 citations*
165. **[Attention Branch Network: Learning of Attention Mechanism for Visual Explanation ↗](https://doi.org/10.1109/cvpr.2019.01096)**Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita et al.*515 citations*
166. **[Learning Joint Reconstruction of Hands and Manipulated Objects ↗](https://doi.org/10.1109/cvpr.2019.01208)**Yana Hasson, Gül Varol, Dimitrios Tzionas et al.*513 citations*
167. **[Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation ↗](https://doi.org/10.1109/cvpr.2019.00679)**Xin Eric Wang, Qiuyuan Huang, Aslı Çelikyılmaz et al.*513 citations*
168. **[Graph-Based Global Reasoning Networks ↗](https://doi.org/10.1109/cvpr.2019.00052)**Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan et al.*512 citations*
169. **[Shifting More Attention to Video Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00875)**Deng-Ping Fan, Wenguan Wang, Ming‐Ming Cheng et al.*510 citations*
170. **[Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting ↗](https://doi.org/10.1109/cvpr.2019.00158)**Yanhong Zeng, Jianlong Fu, Hongyang Chao et al.*500 citations*
171. **[FlowNet3D: Learning Scene Flow in 3D Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.00062)**Xingyu Liu, Charles R. Qi, Leonidas J. Guibas*499 citations*
172. **[Attentive Feedback Network for Boundary-Aware Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00172)**Mengyang Feng, Huchuan Lu, Errui Ding*497 citations*
173. **[Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00071)**Zhixiang Wang, Zheng Wang, Yinqiang Zheng et al.*493 citations*
174. **[Global Second-Order Pooling Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2019.00314)**Zilin Gao, Jiangtao Xie, Qilong Wang et al.*491 citations*
175. **[DSFD: Dual Shot Face Detector ↗](https://doi.org/10.1109/cvpr.2019.00520)**Jian Li, Yabiao Wang, Changan Wang et al.*488 citations*
176. **[Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition ↗](https://doi.org/10.1109/cvpr.2019.00515)**Heliang Zheng, Jianlong Fu, Zheng-Jun Zha et al.*488 citations*
177. **[Universal Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00283)**Kaichao You, Mingsheng Long, Zhangjie Cao et al.*487 citations*
178. **[3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans ↗](https://doi.org/10.1109/cvpr.2019.00455)**Ji Hou, Angela Dai, Matthias NieBner*483 citations*
179. **[Latent Space Autoregression for Novelty Detection ↗](https://doi.org/10.1109/cvpr.2019.00057)**Davide Abati, Angelo Porrello, Simone Calderara et al.*481 citations*
180. **[Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics ↗](https://doi.org/10.1109/cvpr.2019.00937)**Yunbo Wang, Jianjin Zhang, Hongyu Zhu et al.*480 citations*
181. **[Multi-Agent Tensor Fusion for Contextual Trajectory Prediction ↗](https://doi.org/10.1109/cvpr.2019.01240)**Tianyang Zhao, Yifei Xu, Mathew Monfort et al.*477 citations*
182. **[Task Agnostic Meta-Learning for Few-Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.01199)**Muhammad Abdullah Jamal, Guo-Jun Qi*474 citations*
183. **[Unprocessing Images for Learned Raw Denoising ↗](https://doi.org/10.1109/cvpr.2019.01129)**Tim Brooks, Ben Mildenhall, Tianfan Xue et al.*473 citations*
184. **[Classification-Reconstruction Learning for Open-Set Recognition ↗](https://doi.org/10.1109/cvpr.2019.00414)**Ryota Yoshihashi, Wen Quan Shao, Rei Kawakami et al.*472 citations*
185. **[Semi-Supervised Learning With Graph Learning-Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2019.01157)**Bo Jiang, Ziyan Zhang, Doudou Lin et al.*471 citations*
186. **[SpotTune: Transfer Learning Through Adaptive Fine-Tuning ↗](https://doi.org/10.1109/cvpr.2019.00494)**Yunhui Guo, Honghui Shi, Abhishek Kumar et al.*471 citations*
187. **[Arbitrary Style Transfer With Style-Attentional Networks ↗](https://doi.org/10.1109/cvpr.2019.00603)**Dae Young Park, Kwang Hee Lee*466 citations*
188. **[Characterizing and Avoiding Negative Transfer ↗](https://doi.org/10.1109/cvpr.2019.01155)**Zi-Rui Wang, Zihang Dai, Barnabás Póczos et al.*463 citations*
189. **[Deep Supervised Cross-Modal Retrieval ↗](https://doi.org/10.1109/cvpr.2019.01064)**Liangli Zhen, Peng Hu, Xu Wang et al.*459 citations*
190. **[3D Hand Shape and Pose Estimation From a Single RGB Image ↗](https://doi.org/10.1109/cvpr.2019.01109)**Liuhao Ge, Zhou Ren, Yuncheng Li et al.*458 citations*
191. **[Semi-Supervised Transfer Learning for Image Rain Removal ↗](https://doi.org/10.1109/cvpr.2019.00400)**Wei Wei, Deyu Meng, Qian Zhao et al.*458 citations*
192. **[Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking ↗](https://doi.org/10.1109/cvpr.2019.00814)**Heng Fan, Haibin Ling*458 citations*
193. **[FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference ↗](https://doi.org/10.1109/cvpr.2019.00541)**Jungbeom Lee, Eunji Kim, Sungmin Lee et al.*457 citations*
194. **[CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00900)**Zheng Tang, Milind Naphade, Ming-Yu Liu et al.*454 citations*
195. **[Probabilistic End-To-End Noise Correction for Learning With Noisy Labels ↗](https://doi.org/10.1109/cvpr.2019.00718)**Kun Yi, Jianxin Wu*454 citations*
196. **[Distilling Object Detectors With Fine-Grained Feature Imitation ↗](https://doi.org/10.1109/cvpr.2019.00507)**Tao Wang, Yuan Li, Xiaopeng Zhang et al.*452 citations*
197. **[FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00971)**Paul Voigtlaender, Yuning Chai, Florian Schroff et al.*452 citations*
198. **[Target-Aware Deep Tracking ↗](https://doi.org/10.1109/cvpr.2019.00146)**Xin Li, Chao Ma, Baoyuan Wu et al.*450 citations*
199. **[High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection ↗](https://doi.org/10.1109/cvpr.2019.00533)**Wei Liu, Shengcai Liao, Weiqiang Ren et al.*446 citations*
200. **[Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling ↗](https://doi.org/10.1109/cvpr.2019.00344)**Jiancheng Yang, Qiang Zhang, Bingbing Ni et al.*446 citations*

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