CVPR 2019 paper

待我称王封你为后i 2024-01-08 13:19 19阅读 0赞

【1】Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos（Romero Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Mansour; Svetha Venkatesh ）

论文地址：https://arxiv.org/abs/1903.03295

【2】Learning from Synthetic Data for Crowd Counting in the Wild（Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan）

论文地址：https://arxiv.org/abs/1903.03303

【3】Knowledge-Embedded Routing Network for Scene Graph Generation（Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin）

论文地址：https://arxiv.org/abs/1903.03326

【4】Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval（Anjan Dutta, Zeynep Akata）

论文地址：https://arxiv.org/abs/1903.03372

【5】Structured Knowledge Distillation for Semantic Segmentation

https://arxiv.org/pdf/1903.04197.pdf

【5】Strong-Weak Distribution Alignment for Adaptive Object Detection（Kuniaki Saito1、Yoshitaka Ushiku2、Tatsuya Harada2,3、Kate Saenko1，波士顿大、学东京大学）

论文地址：https://arxiv.org/pdf/1812.04798.pdf

【7】PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation（Fenggen Yu、Kun Liu1、Yan Zhang1、Chenyang Zhu、Kai Xu，南京大学、国防科技大学）

论文地址：https://arxiv.org/pdf/1903.00709.pdf

【9】Understanding and Visualizing Deep Visual Saliency Models（Sen He、Hamed R. Tavakoli、Ali Borji、Yang Mi、Nicolas Pugeault，埃克塞特大学、阿尔托大学）

论文地址：https://arxiv.org/pdf/1903.02501.pdf

【9】Depth Coefficients for Depth Completion（Saif Imran、Yunfei Long、Xiaoming Liu、Daniel Morris，密歇根州立大学）

论文地址：https://arxiv.org/pdf/1903.05421.pdf

【10】RVOS: End-to-End Recurrent Network for Video Object Segmentation

论文地址：https://arxiv.org/pdf/1903.05612.pdf

【11】Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis（北京大学、加利福尼亚大学）

论文地址：https://arxiv.org/pdf/1903.05628.pdf

【12】MirrorGAN: Learning Text-to-image Generation by Redescription

论文地址：https://arxiv.org/pdf/1903.05854.pdf

【13】Deep Transfer Learning for Multiple Class Novelty Detection

论文地址：https://arxiv.org/abs/1903.02196

【14】AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

https://arxiv.org/pdf/1901.04596.pdf

【15】ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

https://arxiv.org/pdf/1811.11968.pdf

【16】Fast Online Object Tracking and Segmentation: A Unifying Approach

开源：https://github.com/foolwood/SiamMask

【17】Dual Encoding for Zero-Example Video Retrieval

论文地址：https://arxiv.org/abs/1809.06181

开源地址：https://github.com/danieljf24/dual\_encoding

【18】Supervised Fitting of Geometric Primitives to 3D Point Clouds

https://arxiv.org/abs/1811.08988

【19】Learning 3D Human Dynamics from Video

https://arxiv.org/abs/1812.01601

【20】Explainable and Explicit Visual Reasoning over Scene Graphs

https://arxiv.org/abs/1812.01855

【21】Learning Parallax Attention for Stereo Image Super-Resolution

https://arxiv.org/abs/1903.05784

【22】AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs

https://arxiv.org/abs/1903.07062

【23】QATM: Quality-Aware Template Matching For Deep Learning

https://arxiv.org/abs/1903.07254

【24】Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

https://arxiv.org/abs/1903.07256

【25】Self-calibrating Deep Photometric Stereo Networks（oral）

https://arxiv.org/abs/1903.07366

【26】Understanding the Limitations of CNN-based Absolute Camera Pose Regression

https://arxiv.org/abs/1903.07504

【27】Learning Correspondence from the Cycle-Consistency of Time

https://arxiv.org/abs/1903.07593

http://ajabri.github.io/timecycle

【28】Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

https://arxiv.org/abs/1812.07179

【29】SimulCap : Single-View Human Performance Capture with Cloth Simulation

https://arxiv.org/abs/1903.06323

【30】Neural Sequential Phrase Grounding (SeqGROUND)

https://arxiv.org/abs/1903.07669

【31】Direct Object Recognition Without Line-of-Sight Using Optical Coherence

https://arxiv.org/abs/1903.07705

【32】SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations

https://arxiv.org/abs/1903.06482

【33】Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

https://arxiv.org/abs/1903.07788

【34】Semantic Image Synthesis with Spatially-Adaptive Normalization（oral）

https://arxiv.org/abs/1903.07291

【35】Inverse Path Tracing for Joint Material and Lighting Estimation（oral）

https://arxiv.org/abs/1903.07145

【36】Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

https://arxiv.org/abs/1903.05628

https://github.com/HelenMao/MSGAN

【37】Selective Kernel Networks

https://arxiv.org/abs/1903.06586

【38】A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

https://arxiv.org/abs/1903.06916

【39】Unsupervised Part-Based Disentangling of Object Shape and Appearance

https://arxiv.org/abs/1903.06946

【40】Inserting Videos into Videos

https://arxiv.org/abs/1903.06571

【41】Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

https://arxiv.org/abs/1812.09502

【42】Domain Generalization by Solving Jigsaw Puzzles

https://arxiv.org/abs/1903.06864

【43】Fast Interactive Object Annotation with Curve-GCN

https://arxiv.org/abs/1903.06874

【44】MFAS: Multimodal Fusion Architecture Search

https://arxiv.org/abs/1903.06496

【45】OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

https://arxiv.org/abs/1903.08550

【46】An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM

https://arxiv.org/abs/1903.08636

【47】Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

https://arxiv.org/abs/1903.08642

code: https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

【48】Towards Robust Curve Text Detection with Conditional Spatial Expansion

https://arxiv.org/abs/1903.08836

【49】Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition

https://arxiv.org/abs/1903.08923

【50】Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

https://arxiv.org/pdf/1903.08839.pdf

【51】Patch-based Progressive 3D Point Set Upsampling

https://arxiv.org/abs/1811.11286

【52】Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos（Romero Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Mansour; Svetha Venkatesh ）

论文地址：https://arxiv.org/abs/1903.03295

【53】Learning from Synthetic Data for Crowd Counting in the Wild（Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan）

论文地址：https://arxiv.org/abs/1903.03303

【54】Knowledge-Embedded Routing Network for Scene Graph Generation（Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin）

论文地址：https://arxiv.org/abs/1903.03326

【55】Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval（Anjan Dutta, Zeynep Akata）

论文地址：https://arxiv.org/abs/1903.03372

【56】Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders  
作者：Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata  
论文链接：https://arxiv.org/abs/1812.01784  
源码链接：https://github.com/edgarschnfld/CADA-VAE-PyTorch

【57】PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud  
作者：Shaoshuai Shi, Xiaogang Wang, Hongsheng Li  
论文链接：https://arxiv.org/abs/1812.04244  
源码链接：https://github.com/sshaoshuai/PointRCNN

【58】FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image  
作者：Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang  
论文链接：https://github.com/shamangary/FSA-Net/blob/master/0191.pdf  
源码链接：https://github.com/shamangary/FSA-Net

【59】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  
源码链接：https://github.com/cherubicXN/afm\_cvpr2019

【60】DFANet：Deep Feature Aggregation for Real-Time Semantic Segmentation（旷视）  
作者：Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun  
论文链接：https://share.weiyun.com/5NgHbWH

【61】Live Reconstruction of Large-Scale Dynamic Outdoor Worlds  
作者：Ondrej Miksik, Vibhav Vineet  
论文链接：https://arxiv.org/abs/1903.06708

【62】Automatic adaptation of object detectors to new domains using self-training  
作者：Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller  
论文链接：https://arxiv.org/abs/1904.07305

【63】A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection  
作者：Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos  
论文链接：https://arxiv.org/abs/1904.07312

【64】Exploiting Computation Power of Blockchain for Biomedical Image Segmentation  
作者：Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi  
论文链接：https://arxiv.org/abs/1904.07349

【65】NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection(目标检测)  
作者：Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le  
论文链接：https://arxiv.org/abs/1904.07392

【66】A Bayesian Perspective on the Deep Image Prior  
作者：Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon  
论文链接：https://arxiv.org/abs/1904.07457  
源码链接：https://github.com/ZezhouCheng/GP-DIP

【67】Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN  
作者：Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding  
论文链接：https://arxiv.org/abs/1904.07460

【68】Focus Is All You Need: Loss Functions For Event-based Vision  
作者：Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza  
论文链接：https://arxiv.org/abs/1904.07235

【69】Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting  
作者：Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo  
论文链接：https://arxiv.org/abs/1904.07475

【70】Relation-Shape Convolutional Neural Network for Point Cloud Analysis  
作者：Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan  
论文链接：https://arxiv.org/abs/1904.07601  
项目链接：https://yochengliu.github.io/Relation-Shape-CNN/  
源码链接：https://github.com/Yochengliu/Relation-Shape-CNN

【71】LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences(人脸识别)  
作者：Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman  
论文链接：https://arxiv.org/abs/1904.07647

【72】Semantically Aligned Bias Reducing Zero Shot Learning  
作者：Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal  
论文链接：https://arxiv.org/abs/1904.07659

【73】Camera Lens Super-Resolution

作者：Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu

论文链接：http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf

源码链接：https://github.com/ngchc/CameraSR

【74】GolfDB: A Video Database for Golf Swing Sequencing

作者：William McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong  
论文链接：https://arxiv.org/abs/1903.06528v1

【75】R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network  
作者：Bin Zhu, Chong-Wah Ngo, Jingjing Chen, and Yanbin Hao  
论文链接：http://vireo.cs.cityu.edu.hk/papers/R2GAN.pdf

【76】Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes  
作者：Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding  
论文链接：https://arxiv.org/abs/1904.06535

【77】GA-Net: Guided Aggregation Net for End-to-end Stereo Matching(Oral)  
作者：Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr  
论文链接：https://arxiv.org/abs/1904.06587

【78】LiveSketch: Query Perturbations for Guided Sketch-based Visual Search  
作者：John Collomosse, Tu Bui, Hailin Jin  
论文链接：https://arxiv.org/abs/1904.06611

【79】Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

论文链接：https://arxiv.org/abs/1904.06627  
源码链接：https://github.com/MalongTech/research-ms-loss

【80】Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction  
作者：Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou  
论文链接：https://arxiv.org/abs/1904.06699

【81】VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal  
作者：Ya-Liang Chang, Zhe Yu Liu, Winston Hsu  
论文链接：https://arxiv.org/abs/1904.06726

【82】Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation（Oral)  
作者：Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan  
论文链接：https://arxiv.org/abs/1904.06807  
源码链接：https://github.com/Ha0Tang/SelectionGAN

【83】ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging（Oral)  
作者：Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays  
论文链接：https://arxiv.org/abs/1904.06830

【84】Pedestrian Detection in Thermal Images using Saliency Maps（行人检测）  
作者：Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman  
论文链接：https://arxiv.org/abs/1904.06859

【85】Self-critical n-step Training for Image Captioning（图像生成）  
作者：Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao  
论文链接：https://arxiv.org/abs/1904.06861

【86】Gait Recognition via Disentangled Representation Learning（Oral 步态识别）  
作者：Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang  
论文链接：https://arxiv.org/abs/1904.04925

【87】Towards High-fidelity Nonlinear 3D Face Morphable Model  
作者：Luan Tran, Feng Liu, Xiaoming Liu  
论文链接：https://arxiv.org/abs/1904.04933  
项目链接：http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html

【88】Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations(Oral)  
作者：Jiwoon Ahn, Sunghyun Cho, Suha Kwak  
论文链接：https://arxiv.org/abs/1904.05044

【89】Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning  
作者：Ruotent Li, Loong Fah Cheong, Robby T. Tan  
论文链接：https://arxiv.org/abs/1904.05050

【90】C3AE: Exploring the Limits of Compact Model for Age Estimation  
作者：Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu  
论文链接：https://arxiv.org/abs/1904.05059

【91】DAVANet: Stereo Deblurring with View Aggregation（Oral)  
作者：Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren  
论文链接：https://arxiv.org/abs/1904.05065

【92】Text Guided Person Image Synthesis  
作者：Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang  
论文链接：https://arxiv.org/abs/1904.05118

【93】Actor-Critic Instance Segmentation  
作者：Kwang In Kim, Hyung Jin Chang  
论文链接：https://arxiv.org/abs/1904.05126

【94】Joint Manifold Diffusion for Combining Predictions on Decoupled Observations

作者：Kwang In Kim, Hyung Jin Chang  
论文链接：https://arxiv.org/abs/1904.05159

【95】Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation  
作者：Junhwa Hur, Stefan Roth  
论文链接：https://arxiv.org/abs/1904.05290

【96】H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions(Oral)  
作者：Bugra Tekin, Federica Bogo, Marc Pollefeys  
论文链接：https://arxiv.org/abs/1904.05349

【97】Pixel-Adaptive Convolutional Neural Networks  
作者：Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz  
论文链接：https://arxiv.org/abs/1904.05373

【98】Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres  
作者：Shuai Liao, Efstratios Gavves, Cees G. M. Snoek  
论文链接：https://arxiv.org/abs/1904.05404

【99】Sliced Wasserstein Generative Models  
作者：Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool  
论文链接：https://arxiv.org/abs/1904.05408  
源码链接：https://github.com/musikisomorphie/swd

【100】Learning to Generate Synthetic Data via Compositing  
作者：Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari  
论文链接：https://arxiv.org/abs/1904.05475

【101】Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach(Oral)  
作者：Proteek Chandan Roy, Vishnu Naresh Boddeti  
论文链接：https://arxiv.org/abs/1904.05514

【102】Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations  
作者：Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma  
论文链接：https://arxiv.org/abs/1904.05521

【103】Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network  
作者：Chen Li, Gim Hee Lee  
论文链接：https://arxiv.org/abs/1904.05547

【104】Reasoning Visual Dialogs with Structural and Partial Observations(Oral)  
作者：Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu  
论文链接：https://arxiv.org/abs/1904.05548

【105】C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection  
作者：Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye  
论文链接：https://arxiv.org/abs/1904.05647

【106】TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning  
作者：Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez  
论文链接：https://arxiv.org/abs/1904.05967

【107】Real-Time Dense Stereo Embedded in A UAV for Road Inspection  
作者：Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu  
论文链接：https://arxiv.org/abs/1904.06017

【108】Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology  
作者：Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise  
论文链接：https://arxiv.org/abs/1904.06040

【109】Unifying Heterogeneous Classifiers with Distillation  
作者：Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella  
论文链接：https://arxiv.org/abs/1904.06062

【110】YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving  
作者：Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan  
论文链接：https://arxiv.org/abs/1904.05673

【111】A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes  
作者：Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu  
论文链接：https://arxiv.org/abs/1904.05730

【112】Learning joint reconstruction of hands and manipulated objects  
作者：Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid  
论文链接：https://arxiv.org/abs/1904.05767

【113】Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope(Oral)  
作者：Tolga Birdal, Umut Şimşekli  
论文链接：https://arxiv.org/abs/1904.05814

【114】Variational Information Distillation for Knowledge Transfer  
作者：Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai  
论文链接：https://arxiv.org/abs/1904.05835

【115】Expressive Body Capture: 3D Hands, Face, and Body from a Single Image  
作者：Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black  
论文链接：https://arxiv.org/abs/1904.05866

【116】A Simple Baseline for Audio-Visual Scene-Aware Dialog  
作者：Idan Schwartz, Alexander Schwing, Tamir Hazan  
论文链接：https://arxiv.org/abs/1904.05876

【117】Max-Sliced Wasserstein Distance and its use for GANs  
作者：Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing  
论文链接：https://arxiv.org/abs/1904.05877

【118】Two Body Problem: Collaborative Visual Task Completion  
作者：Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi

论文链接：https://arxiv.org/abs/1904.05879

【119】Factor Graph Attention  
作者：Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing  
论文链接：https://arxiv.org/abs/1904.05880

【120】Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning  
作者：Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo  
论文链接：http://cs.nju.edu.cn/rl/people/liwb/CVPR19.pdf  
源码链接：https://github.com/WenbinLee/DN4.git

【121】Large-Scale Long-Tailed Recognition in an Open World（Oral)

作者：Ziwei Liu\*, Zhongqi Miao\*, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu  
论文链接：https://github.com/ofsoundof/3D\_Appearance\_SR/blob/master/code/scripts/3d\_appearance\_sr.pdf  
源码链接：

https://github.com/zhmiao/OpenLongTailRecognition-OLTR

【122】3D Appearance Super-Resolution with Deep Learning  
作者：待补充  
论文链接：https://github.com/ofsoundof/3D\_Appearance\_SR/blob/master/code/scripts/3d\_appearance\_sr.pdf  
源码链接：https://github.com/ofsoundof/3D\_Appearance\_SR

【123】High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection（行人检测）  
作者：Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo1  
论文链接：https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf  
源码链接：https://github.com/liuwei16/CSP

【124】Multi-Label Image Recognition with Graph Convolutional Networks（多标记图像识别）  
作者：Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo  
论文链接：https://arxiv.org/abs/1904.03582  
源码链接：https://github.com/chenzhaomin123/ML\_GCN  
简介：本工作针对多标记识别的核心问题，即“如何有效建模标记间的协同关系”进行探索，提出基于图卷积（GCN）的端到端系统，通过data-driven方式建立标记间有向图（directed graph）并由GCN将类别标记映射（mapping）为对应类别分类器，以此建模类别关系，同时可提升表示学习能力。此外针对GCN中的关键元素correlation matrix进行了深入分析和重设计，使其更胜任多标记问题。

【125】Cycle-Consistency for Robust Visual Question Answering（VQA)  
作者：Gao Peng, Zhengkai Jiang, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li  
论文链接：https://arxiv.org/pdf/1812.05252.pdf

【126】Data augmentation using learned transformsfor 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/pdf/1902.09383.pdf  
源码链接：https://github.com/xamyzhao/brainstorm

【127】DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral )  
作者：Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang  
论文链接：http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf  
源码链接：https://github.com/KuangJuiHsu/DeepCO3

【128】Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks

作者：Amy Tabb, Henry Medeiros  
论文链接：https://arxiv.org/abs/1903.06811

【129】LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks  
作者：Sudhakar Kumawat, Shanmuganathan Raman  
论文链接：https://arxiv.org/abs/1904.03498

【130】A Variational Auto-Encoder Model for Stochastic Point Processes

作者：Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori  
论文链接：https://arxiv.org/abs/1904.03273

【131】2.5D Visual Sound（FAIR Oral)  
作者：Ruohan Gao, Kristen Grauman  
论文链接：https://arxiv.org/abs/1812.04204  
项目链接：http://vision.cs.utexas.edu/projects/2.5D\_visual\_sound/  
源码链接：https://github.com/facebookresearch/FAIR-Play

【132】DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality  
作者：Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec  
论文链接：https://arxiv.org/abs/1904.01175

【133】Kervolutional Neural Networks  
作者：Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan  
论文链接：https://arxiv.org/abs/1904.03955

【134】SoDeep: a Sorting Deep net to learn ranking loss surrogates  
作者：Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord  
论文链接：https://arxiv.org/abs/1904.04272

【135】3D Local Features for Direct Pairwise Registration  
作者：Haowen Deng, Tolga Birdal, Slobodan Ilic  
论文链接：https://arxiv.org/abs/1904.04281

【136】Neural Rerendering in the Wild(Oral)  
作者：Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla  
论文链接：https://arxiv.org/abs/1904.04290

【137】End-to-end Projector Photometric Compensation  
作者：Bingyao Huang, Haibin Ling  
论文链接：https://arxiv.org/abs/1904.04335

【138】What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment  
作者：Paritosh Parmar, Brendan Tran Morris  
论文链接：https://arxiv.org/abs/1904.04346

【139】Towards Universal Object Detection by Domain Attention  
作者：Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos  
论文链接：https://arxiv.org/abs/1904.04402  
项目链接：http://www.svcl.ucsd.edu/projects/universal-detection/

【140】Efficient Decision-based Black-box Adversarial Attacks on Face Recognition（人脸识别）  
作者：Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu  
论文链接：https://arxiv.org/abs/1904.04433

【141】Reliable and Efficient Image Cropping: A Grid Anchor based Approach  
作者：Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang  
论文链接：https://arxiv.org/abs/1904.04441  
代码链接：https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping

【142】SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking（视觉跟踪）  
作者：Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng  
论文链接：https://arxiv.org/abs/1904.04452

【143】Graphonomy: Universal Human Parsing via Graph Transfer Learning  
作者：Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin  
论文链接：https://arxiv.org/abs/1904.04536  
源码链接：https://github.com/Gaoyiminggithub/Graphonomy

【144】Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks  
作者：Eunwoo Kim, Chanho Ahn, Philip H.S. Torr, Songhwai Oh  
论文链接：https://arxiv.org/abs/1904.04562

【145】Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology（Oral)  
作者：Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers  
论文链接：https://arxiv.org/abs/1904.04661

【146】Domain-Symmetric Networks for Adversarial Domain Adaptation  
作者：Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan  
论文链接：https://arxiv.org/abs/1904.04663

【147】Action Recognition from Single Timestamp Supervision in Untrimmed Videos（动作识别）  
作者：Davide Moltisanti, Sanja Fidler, Dima Damen  
论文链接：https://arxiv.org/abs/1904.04689

【148】Label Propagation for Deep Semi-supervised Learning  
作者：Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum  
论文链接：https://arxiv.org/abs/1904.04717

【149】Cross-Modal Self-Attention Network for Referring Image Segmentation  
作者：Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang  
论文链接：https://arxiv.org/abs/1904.04745

【150】Leveraging the Invariant Side of Generative Zero-Shot Learning  
作者：Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang  
论文链接：https://arxiv.org/abs/1904.04092

【151】Learning monocular depth estimation infusing traditional stereo knowledge  
作者：Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia  
论文链接：https://arxiv.org/abs/1904.04144  
代码链接：https://github.com/fabiotosi92/monoResMatch-Tensorflow

【152】Unsupervised learning of action classes with continuous temporal embedding  
作者：Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall  
论文链接：https://arxiv.org/abs/1904.04189

【153】Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering  
作者：Seungryul Baek, Kwang In Kim, Tae-Kyun Kim  
论文链接：https://arxiv.org/abs/1904.04196

【154】Relational Action Forecasting(oral)  
作者：Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid  
论文链接：https://arxiv.org/abs/1904.04231

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

https://arxiv.org/abs/1904.08739

【155】A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

https://arxiv.org/abs/1904.08720

【156】Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

https://arxiv.org/abs/1904.08703

【157】DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition

https://arxiv.org/abs/1904.08634

【158】Fooling automated surveillance cameras: adversarial patches to attack person detection

https://arxiv.org/abs/1904.08653

【159】Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

https://arxiv.org/abs/1904.08631

【160】Progressive Attention Memory Network for Movie Story Question Answering

https://arxiv.org/abs/1904.08607

【161】Unsupervised Person Image Generation with Semantic Parsing Transformation

https://arxiv.org/abs/1904.03379

【162】Unsupervised Person Image Generation with Semantic Parsing Transformation  
论文链接：https://arxiv.org/abs/1904.03379  
项目链接：https://github.com/SijieSong/person\_generation\_spt

【163】Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?  
论文链接：https://arxiv.org/abs/1806.07550

【164】Self-Supervised GANs via Auxiliary Rotation Loss  
论文链接：https://arxiv.org/abs/1811.11212

【165】Multi-Agent Tensor Fusion for Contextual Trajectory Prediction  
论文链接：https://arxiv.org/abs/1904.04776

【166】L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving  
论文链接：https://songshiyu01.github.io/pdf/L3Net\_W.Lu\_Y.Zhou\_S.Song\_CVPR2019.pdf

【167】Deep Convolutional Networks on 3D Point Clouds  
论文链接：https://arxiv.org/pdf/1811.07246.pdf  
源码链接：https://github.com/DylanWusee/pointconv

【168】CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection  
论文链接：https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg\_wCCC5HukeZ（需要申请）  
源码链接：https://github.com/zhangludl/code-and-dataset-for-CapSal

【169】Segmentation-driven 6D Object Pose Estimation  
论文链接：https://arxiv.org/abs/1812.02541  
源码链接：https://github.com/cvlab-epfl/segmentation-driven-pose

【170】LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds  
论文链接：https://arxiv.org/abs/1904.10037

【171】Learning Actor Relation Graphs for Group Activity Recognition  
论文链接：https://arxiv.org/abs/1904.10117

【172】Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More  
论文链接：https://arxiv.org/abs/1904.10167

【173】Attention-guided Network for Ghost-free High Dynamic Range Imaging  
论文链接：https://arxiv.org/abs/1904.10293

【174】Data-Driven Neuron Allocation for Scale Aggregation Networks  
论文链接：https://arxiv.org/abs/1904.09460

【175】A Simple Pooling-Based Design for Real-Time Salient Object Detection  
论文链接：https://arxiv.org/abs/1904.09569  
源码链接：http://mmcheng.net/poolnet/

【176】TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation  
论文链接：https://arxiv.org/abs/1904.09571

【177】Deep Metric Learning Beyond Binary Supervision（Oral）  
论文链接：https://arxiv.org/abs/1904.09626

【178】Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks  
论文链接：https://arxiv.org/abs/1904.09791

【179】PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval  
论文链接：https://arxiv.org/abs/1904.09793

【180】Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids  
论文链接：https://arxiv.org/abs/1904.09970  
源码链接：https://github.com/paschalidoud/superquadric\_parsing

【181】ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)  
论文链接：https://contactdb.cc.gatech.edu/contactdb\_paper.pdf  
源码链接：https://github.com/samarth-robo/contactdb\_prediction

【182】Aggregation Cross-Entropy for Sequence Recognition  
论文链接：https://arxiv.org/abs/1904.08364

【183】Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images  
论文链接：https://arxiv.org/abs/1904.08482

【184】Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset  
论文链接：https://arxiv.org/abs/1904.08486

【185】Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds  
论文链接：https://arxiv.org/abs/1904.08487

【186】Few-Shot Learning with Localization in Realistic Settings  
论文链接：https://arxiv.org/abs/1904.08502

【187】Progressive Attention Memory Network for Movie Story Question Answering  
论文链接：https://arxiv.org/abs/1904.08607

【188】Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization  
论文链接：https://arxiv.org/abs/1904.08631

【189】DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition  
论文链接：https://arxiv.org/abs/1904.08634

【190】Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition  
论文链接：https://arxiv.org/abs/1904.08703

【191】A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning  
论文链接：https://arxiv.org/abs/1904.08720

【192】Cascaded Partial Decoder for Fast and Accurate Salient Object Detection  
论文链接：https://arxiv.org/abs/1904.08739

【193】4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks  
论文链接：https://arxiv.org/abs/1904.08755

【194】Attentive Single-Tasking of Multiple Tasks  
论文链接：https://arxiv.org/abs/1904.08918

【195】Towards VQA Models that can Read  
论文链接：https://arxiv.org/abs/1904.08920

【196】Listen to the Image  
论文链接：https://arxiv.org/abs/1904.09115

【197】SelFlow: Self-Supervised Learning of Optical Flow  
作者：Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu  
论文链接：https://arxiv.org/abs/1904.09117

【198】Visualizing the decision-making process in deep neural decision forest  
论文链接：https://arxiv.org/abs/1904.09201  
源码链接：https://github.com/Nicholasli1995/VisualizingNDF

【199】STEP: Spatio-Temporal Progressive Learning for Video Action Detection（Oral,视频动作识别）  
论文链接：https://arxiv.org/abs/1904.09288

【200】Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

论文链接：https://arxiv.org/abs/1812.07179

【201】Transferrable Prototypical Networks for Unsupervised Domain Adaptation

论文链接：https://arxiv.org/abs/1904.11227

【202】Exploring Object Relation in Mean Teacher for Cross-Domain Detection

论文链接：https://arxiv.org/abs/1904.11245

【203】Pointing Novel Objects in Image Captioning

论文链接：https://arxiv.org/abs/1904.11251  
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作者：DL&CV\_study  
来源：CSDN  
原文：https://blog.csdn.net/Sophia\_11/article/details/88414807  
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