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cvpr2019 papers

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cvpr2019(Papers/Codes/Project/Paper reading)

Source:https://mp.weixin.qq.com/s/SmS-guwg6oUqPYwfeC6iiw

Updating:http://bbs.cvmart.net/topics/302/cvpr2019paper

cvpr2019 accepted papers list:
http://cvpr2019.thecvf.com/files/cvpr_2019_final_accept_list.txt

论文PDF下载(更新中)
链接:https://pan.baidu.com/s/1s4FuLscWcslN5rQQvP92JA 提取码:osvy

Related paper links:(也欢迎大家推荐自己的CVPR2019文章,我们会及时更新上来)

121.RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
论文链接:https://arxiv.org/abs/1903.02741
项目链接:https://wellyzhang.github.io/project/raven.html

120.SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
作者:Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng
论文链接:https://arxiv.org/abs/1903.02793

119.Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
作者:Weifeng Ge, Xiangru Lin, Yizhou Yu
论文链接:https://arxiv.org/abs/1903.02827

118.COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
论文链接:https://arxiv.org/abs/1903.02874
项目链接:https://coin-dataset.github.io/
代码链接:https://github.com/coin-dataset/code

117.Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics(多目标跟踪)
作者:Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
论文链接:https://arxiv.org/abs/1812.01157

116.Latent Space Autoregression for Novelty Detection
作者:Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
论文链接:https://arxiv.org/abs/1807.01653
代码链接: https://github.com/aimagelab/novelty-detection

115.PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
作者:Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou
论文链接:https://arxiv.org/pdf/1812.11788.pdf

114.Learning Transformation Synchronization
作者:Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang
论文链接:https://arxiv.org/pdf/1901.09458.pdf
代码链接: https://github.com/xiangruhuang/Learning2Sync

113.Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion (Oral)
作者:Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang
论文链接:https://arxiv.org/pdf/1901.00063.pdf
代码链接: https://github.com/zhenpeiyang/RelativePose

112.Path-Invariant Map Networks (Oral)
作者:Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang
论文链接:https://arxiv.org/pdf/1812.11647.pdf
代码链接: https://github.com/zaiweizhang/path_invariance_map_network

111.Taking a Deeper Look at the Inverse Compositional Algorithm(oral)
作者:Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
论文链接:https://arxiv.org/pdf/1812.06861.pdf
代码链接:https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm

110.Learning Attraction Field Representation for Robust Line Segment Detection
作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
论文链接:https://arxiv.org/abs/1812.02122
代码链接:https://github.com/cherubicXN/afm_cvpr2019

109.Learning Deep Compositional Grammatical Architectures for Visual Recognition
作者:Xilai Li, Tianfu Wu, Xi Song
论文链接:https://arxiv.org/abs/1711.05847
代码链接:https://github.com/xilaili/AOGNet

108.Toward Convolutional Blind Denoising of Real Photographs
作者:Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang
论文链接:https://arxiv.org/abs/1807.04686
代码链接:https://github.com/GuoShi28/CBDNet

107.Selective Sensor Fusion for Neural Visual-Inertial Odometry
作者:Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
论文链接:https://arxiv.org/abs/1903.01534

106.Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
作者:Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou
论文链接:https://arxiv.org/abs/1901.04111
项目链接:https://zju-3dv.github.io/mvpose/
代码链接:https://github.com/zju-3dv/mvpose

105.Unsupervised Domain-Specific Deblurring via Disentangled Representations
作者:Boyu Lu, Jun-Cheng Chen, Rama Chellappa
论文链接:https://arxiv.org/abs/1903.01594

104.Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search(oral)
作者:Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
论文链接:https://arxiv.org/abs/1903.01612

103.Leveraging Shape Completion for 3D Siamese Tracking
作者:Silvio Giancola, Jesus Zarzar, Bernard Ghanem
论文链接:https://arxiv.org/abs/1903.01784

102.MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
作者:Yazan Abu Farha, Juergen Gall
论文链接:https://arxiv.org/abs/1903.01945

101.Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation(非最终版)
作者:Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl
论文链接:https://arxiv.org/abs/1903.02120

100.Deep Transfer Learning for Multiple Class Novelty Detection
作者:Pramuditha Perera, Vishal M. Patel
论文链接:https://arxiv.org/abs/1903.02196

99.Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
作者:Muhammed Kocabas, Salih Karagoz, Emre Akbas
论文链接:https://arxiv.org/abs/1903.02330
Github链接:https://github.com/mkocabas/EpipolarPose

98.CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
作者:Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
论文链接:https://arxiv.org/abs/1903.02351

97.Object Counting and Instance Segmentation with Image-level Supervision
作者:Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao
论文链接:https://arxiv.org/abs/1903.02494

96.Understanding and Visualizing Deep Visual Saliency Models
作者:Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault
论文链接:https://arxiv.org/abs/1903.02501

95.Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation(oral)
作者:Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa
论文链接:https://arxiv.org/abs/1903.02547
YouTube:https://youtu.be/ik9uz06Fcpk

94.The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation(oral)
作者:Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
论文链接:https://arxiv.org/abs/1903.01602
Github:https://github.com/chihyaoma/regretful-agent

93.Variational Autoencoders Pursue PCA Directions (by Accident)
作者:Michal Rolinek, Dominik Zietlow, Georg Martius
论文链接:https://arxiv.org/abs/1812.06775

92.Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
作者:Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
论文链接:https://arxiv.org/abs/1902.03680

91.3D Point-Capsule Networks
作者:Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
论文链接:https://arxiv.org/abs/1812.10775

90.Image Super-Resolution by Neural Texture Transfer
作者:Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
论文链接:https://arxiv.org/pdf/1903.00834.pdf
项目链接:http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html
代码链接:https://github.com/ZZUTK/SRNTT


89.Representation Flow for Action Recognition
作者:AJ Piergiovanni, Michael S. Ryoo
论文链接:https://arxiv.org/abs/1810.01455
项目链接:https://piergiaj.github.io/rep-flow-site/
代码链接:https://github.com/piergiaj/representation-flow-cvpr19

88.Feature Selective Anchor-Free Module for Single-Shot Object Detection
作者:Chenchen Zhu, Yihui He, Marios Savvides
论文链接:https://arxiv.org/abs/1903.00621

87.PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
作者:Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu
论文链接:https://arxiv.org/abs/1903.00709

86.AIRD: Adversarial Learning Framework for Image Repurposing Detection
作者:Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
论文链接:https://arxiv.org/abs/1903.00788

85.3D Hand Shape and Pose Estimation from a Single RGB Image
作者:Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
论文链接:https://arxiv.org/abs/1903.00812

84.Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
作者:Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/abs/1903.00839

83.Less is More: Learning Highlight Detection from Video Duration
作者:Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
论文链接:https://arxiv.org/abs/1903.00859

82.Collaborative Spatio-temporal Feature Learning for Video Action Recognition(行为识别)
作者:Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
论文链接:https://arxiv.org/abs/1903.01197

81.RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
作者:Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
论文链接:https://arxiv.org/abs/1903.00620

80.Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
作者:Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
论文链接:https://arxiv.org/abs/1811.10652
代码链接:https://github.com/aimagelab/show-control-and-tell

79.Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
作者:Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
论文链接:https://arxiv.org/abs/1811.10666

78.Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem(oral)
作者:Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
论文链接:https://arxiv.org/abs/1812.05720
Reading Note:In the paper, we give a theoretical argument of why ReLU activation can lead to models with overconfident predictions. Moreover, we propose a robust optimization training scheme that mitigates this problem.

77.Hybrid Task Cascade for Instance Segmentation(实例分割)
作者:Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
论文链接:https://arxiv.org/abs/1901.07518
论文解读:https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog
Github链接:https://github.com/open-mmlab/mmdetection

76.Region Proposal by Guided Anchoring(检测)
作者:Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
论文链接:https://arxiv.org/abs/1901.03278
论文解读:https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
Github链接:https://github.com/open-mmlab/mmdetection

75.Self-supervised Learning of Dense Shape Correspondence(Oral Presentation)
作者:Oshri Halimi, Or Litany, Emanuele Rodolà, Alex Bronstein, Ron Kimmel
论文链接:https://arxiv.org/abs/1812.02415

74.A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
作者:Saeid Asgari Taghanaki Kumar Abhishek1 Shekoofeh Azizi and Ghassan Hamarneh
论文链接:http://cs.sfu.ca/~hamarneh/ecopy/cvpr2019.pdf
Arxiv链接:https://arxiv.org/abs/1903.01015

73.RepMet: Representative-based metric learning for classification and one-shot object detection

作者:Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
论文链接:https://arxiv.org/abs/1806.04728

72.Handwriting Recognition in Low-resource Scripts using Adversarial Learning
作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
论文链接:https://arxiv.org/pdf/1811.01396.pdf

71.DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
作者:Li Ding, Chen Feng
论文链接:https://arxiv.org/abs/1811.11397

70.Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks
作者:Nima Mohajerin, Mohsen Rohani
论文链接:https://arxiv.org/pdf/1812.09395.pdf

69.On the Continuity of Rotation Representations in Neural Networks 作者:Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
论文链接:https://arxiv.org/pdf/1812.07035.pdf

68.LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目标跟踪)
作者:Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
论文链接:https://arxiv.org/pdf/1809.07845.pdf
project链接:https://cis.temple.edu/lasot/


67.Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目标跟踪)
作者:Heng Fan, Haibin Ling
论文链接:https://arxiv.org/pdf/1812.06148.pdf

66.SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目标跟踪)
作者:Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
论文链接:https://arxiv.org/pdf/1901.01660.pdf
Project链接:http://bo-li.info/SiamRPN++/
论文解读:https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ

65.Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目标跟踪)
作者:Zhipeng Zhang, Houwen Peng
论文链接:https://arxiv.org/pdf/1901.01660.pdf
Code链接:https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers

64.Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目标跟踪)
作者:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr
论文链接:https://arxiv.org/abs/1812.05050
Github链接:https://github.com/foolwood/SiamMask
project链接:http://www.robots.ox.ac.uk/~qwang/SiamMask/

63.Mask Scoring R-CNN
作者:Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang
论文链接:https://arxiv.org/abs/1903.00241
Github链接:https://github.com/zjhuang22/maskscoring_rcnn
论文解读:https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw



62.Octree guided CNN with Spherical Kernels for 3D Point Clouds
作者:Huan Lei, Naveed Akhtar, Ajmal Mian
论文链接:https://arxiv.org/abs/1903.00343

61.Context-Aware Visual Compatibility Prediction
作者:Guillem Cucurull, Perouz Taslakian, David Vazquez
论文链接:https://arxiv.org/abs/1902.03646
Reading Note:It proposes a graph convolutional neural network that predicts compatibility between two items based on their visual features, as well as their context

60.Competitive Collaboration: Joint Unsupervised Learning of Depth, CameraMotion, Optical Flow and Motion Segmentation
作者:Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
论文链接:https://arxiv.org/pdf/1805.09806.pdf
Reading Note:Single view depth prediction, camera motion estimation, optical flow, and segmentation of a video into the static scene and moving regions are challenging but coupled problems. Our key insight is that these four fundamental vision problems are coupled through geometric constraints. Thus, we introduce Competitive Collaboration, a framework that facilitates the coordinated training of multiple specialized neural networks to solve complex problems.

59.Neural RGB-D Sensing: Depth estimation from a video
作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
论文链接:https://arxiv.org/pdf/1901.02571.pdf
project链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD
Reading Note:In this paper, we propose a deep learning (DL) method to estimate per-pixel depth and its uncertainty continuously from a monocular video stream, with the goal of effectively turning an RGB camera into an RGB-D camera. Unlike prior DL-basedmethods, we estimate a depth probability distribution for each pixel rather than a single depth value, leading to an estimate of a 3D depth probability volume for each input frame.

58.PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
作者:Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz
论文链接:https://arxiv.org/pdf/1812.04072.pdf
project链接:https://research.nvidia.com/publication/2019-06_PlaneRCNN
Reading Note:This paper proposes a deep neural architecture, PlaneR-CNN, that detects and reconstructs piecewise planar surfaces from a single RGB image. PlaneRCNN employs a variant of Mask R-CNN to detect planes with their plane parameters and segmentation masks. PlaneRCNN then jointly refines all the segmentation masks with a novel loss enforcing the consistency with a nearby view during training.

57.A General and Adaptive Robust Loss Function(Oral Presentation)
作者:Jonathan T. Barron
论文链接:https://arxiv.org/abs/1701.03077
Reading Note:A single robust loss function is a superset of many other common robust loss functions, and allows training to automatically adapt the robustness of its own loss.

56.Learning to Synthesize Motion Blur(Oral Presentation)
作者:Tim Brooks, Jonathan T. Barron
论文链接:https://arxiv.org/abs/1811.11745
project链接:http://timothybrooks.com/tech/motion-blur/
Reading note:Frame interpolation techniques can be used to train a network to directly synthesize linear motion blur.

55.Unprocessing Images for Learned Raw Denoising (Oral Presentation)
作者:Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
论文链接:https://arxiv.org/abs/1811.11127
project链接:http://timothybrooks.com/tech/unprocessing/
Reading note:We can learn a better denoising model by processing and unprocessing images the same way a camera does.

54.PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
作者:Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz
论文链接:https://arxiv.org/abs/1812.04072

53.Bi-Directional Cascade Network for Perceptual Edge Detection
作者:Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
论文链接:https://arxiv.org/abs/1902.10903
Github源码:https://github.com/pkuCactus/BDCN

52.Dual Attention Network for Scene Segmentation
作者:Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
论文链接:https://arxiv.org/abs/1809.02983
Github源码:https://github.com/junfu1115/DANet

51.Object-driven Text-to-Image Synthesis via Adversarial Training
作者:Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
论文链接:https://arxiv.org/abs/1902.10740

50.Joint Face Detection and Facial Motion Retargeting for Multiple Faces
作者:Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
论文链接:https://arxiv.org/abs/1902.10744

49.End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
作者:Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song
论文链接:https://arxiv.org/abs/1902.10990
代码链接:https://github.com/maestrojeong/Deep-Hash-Table-CVPR19

48.Efficient Video Classification Using Fewer Frames
作者:Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
论文链接:https://arxiv.org/abs/1902.10640
来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

47.Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
作者:Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan
论文链接:https://arxiv.org/abs/1902.10556
代码链接:https://github.com/YoYo000/MVSNet
来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

46.Single-frame Regularization for Temporally Stable CNNs(视频处理)
作者:Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger
论文链接:https://arxiv.org/abs/1902.10424
来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

45.FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
作者:Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
论文链接:https://arxiv.org/abs/1902.10421
来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

44.Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
作者:Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian
论文链接:https://arxiv.org/abs/1902.10322
来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

43.Self-Supervised Generative Adversarial Networks
作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
论文链接:https://arxiv.org/abs/1811.11212
Github链接:https://github.com/google/compare_gan

42.RePr: Improved Training of Convolutional Filters
作者:Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang
论文链接:https://arxiv.org/abs/1811.07275

41.Data augmentation using learned transforms for one-shot medical image segmentation
作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
论文链接:https://arxiv.org/abs/1902.09383

40.Monocular Total Capture: Posing Face, Body, and Hands in the Wild
作者:Donglai Xiang, Hanbyul Joo, Yaser Sheikh
论文链接:https://arxiv.org/pdf/1812.01598.pdf
项目链接:http://domedb.perception.cs.cmu.edu/monototalcapture.html

39.3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
作者:Ji Hou Angela Dai Matthias Nießner
论文链接:https://niessnerlab.org/projects/hou20183dsis.html
YouTube视频:https://youtu.be/IH9rNLD1-JE

38.MUREL: Multimodal Relational Reasoning for Visual Question Answering
作者:Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
论文链接:https://arxiv.org/abs/1902.09487
github链接:https://github.com/Cadene/murel.bootstrap.pytorch

37.ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape 作者:Fabian Manhardt, Wadim Kehl, Adrien Gaidon
论文链接:https://arxiv.org/abs/1812.02781

36.GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
论文链接:https://arxiv.org/abs/1902.05978
github链接:https://github.com/barisgecer/ganfit

35.Disentangled Representation Learning for 3D Face Shape
作者:Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang
Github链接:https://github.com/zihangJiang/DR-Learning-for-3D-Face
论文链接:https://arxiv.org/abs/1902.09887

34.RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
作者:Bastian Wandt, Bodo Rosenhahn
论文链接:https://arxiv.org/abs/1902.09868

33.Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding(开源)
作者:Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
论文链接:https://arxiv.org/abs/1902.09777
代码链接:https://github.com/svip-lab/PlanarReconstruction
来源:https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA

32.Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分类)
作者:Thibaut Durand, Nazanin Mehrasa, Greg Mori
论文链接:https://arxiv.org/abs/1902.09720
来源:https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA

31.3D Hand Shape and Pose from Images in the Wild
作者:Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr
论文链接:https://arxiv.org/pdf/1902.03451.pdf
Github链接:https://github.com/boukhayma/3dhand

30.Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression(检测)
作者:Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
论文链接:https://arxiv.org/abs/1902.09630
来源:https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA
论文解读:https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw

29.Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving(自动驾驶)
作者:Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
论文链接:https://arxiv.org/abs/1812.07179
项目链接:https://mileyan.github.io/pseudo_lidar/
代码链接:https://github.com/mileyan/pseudo_lidar

28.MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
作者:Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
论文链接:https://arxiv.org/pdf/1812.00087.pdf

27.Associatively Segmenting Instances and Semantics in Point Clouds(点云分割,开源)
作者:Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
论文链接:https://arxiv.org/abs/1902.09852
代码链接:https://github.com/WXinlong/ASIS

  1. Efficient Parameter-free Clustering Using First Neighbor Relations
    作者:M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
    论文链接:https://arxiv.org/abs/1902.11266
    Reading Notes:FINCH, a new clustering algorithm, absolutily no hyperparameters , no need to specify no. of clusters. Scalable(Memory O(N)), very fast (ON(logN)) clusters ~8 million samples in 18 minutes on standard CPU.

25.Stereo R-CNN based 3D Object Detection for Autonomous Driving(3D检测)
作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
论文链接:https://arxiv.org/abs/1902.09738

24.Image-Question-Answer Synergistic Network for Visual Dialog
作者:Dalu Guo, Chang Xu, Dacheng Tao
论文链接:https://arxiv.org/abs/1902.09774

1、Attention-guided Unified Network for Panoptic Segmentation(全景分割)
作者:Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang
论文链接:https://arxiv.org/abs/1812.03904
论文解读:https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw

2、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源)
作者:Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
论文链接:https://128.84.21.199/abs/1902.09212
代码链接:https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
论文解读:https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ

3、MUREL: Multimodal Relational Reasoning for Visual Question Answering

作者:Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
论文链接:https://arxiv.org/abs/1902.09487

4、End-to-End Multi-Task Learning with Attention
作者:Shikun Liu, Edward Johns, Andrew J. Davison
论文链接:https://arxiv.org/abs/1803.10704

5、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images

作者:Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon
论文链接:https://arxiv.org/abs/1811.08196

6、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
作者:S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
论文链接:https://arxiv.org/abs/1811.08230

7、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
作者:Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
论文链接:https://arxiv.org/abs/1902.09513

8、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
作者:Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
论文链接:https://arxiv.org/abs/1902.09130

9、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
作者:De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles
论文链接:https://arxiv.org/abs/1807.03480

10、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
作者:Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
论文链接:https://arxiv.org/abs/1901.04780
论文解读:https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg



11、A Neurobiological Evaluation Metric for Neural Network Model Search
作者:Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
论文链接:https://arxiv.org/pdf/1805.10726.pdf

12、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
作者:Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
论文链接:https://arxiv.org/abs/1811.06879

13、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
作者:Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
链接:https://arxiv.org/abs/1812.06145

14、Variational Bayesian Dropout
作者:Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
论文链接:https://arxiv.org/abs/1811.07533

15、LiFF: Light Field Features in Scale and Depth
作者:Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
论文链接:https://arxiv.org/abs/1901.03916

16、Classification-Reconstruction Learning for Open-Set Recognition
作者:Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
论文链接:https://arxiv.org/abs/1812.04246

17、Weakly Supervised Deep Image Hashing through Tag Embeddings
作者:Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
论文链接:https://arxiv.org/abs/1806.05804

18、InverseRenderNet: Learning single image inverse rendering
作者:Ye Yu, William A. P. Smith
论文链接:https://arxiv.org/abs/1811.12328

19、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
作者:Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
论文链接:https://arxiv.org/abs/1811.10092
论文解读:https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg

20、Disentangled Representation Learning for 3D Face Shape
作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
论文链接:https://arxiv.org/abs/1902.05978

21.Iterative Residual CNNs for Burst Photography Applications
作者:Filippos Kokkinos   Stamatis Lefkimmiatis
论文链接:https://arxiv.org/abs/1811.12197

22.Mixture Density Generative Adversarial Networks
作者:Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
论文链接:https://arxiv.org/abs/1811.00152

23.Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
作者:Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
论文链接:https://arxiv.org/abs/1809.09478

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