ICCV2019 全部论文分类汇总(含目标检测 / 图像分割等,0806 更新中)

论文速递 sophie ⋅ 于 2周前 ⋅ 888 阅读

作为计算机视觉领域三大顶会之一,ICCV2019目前已公布了所有接收论文ID(会议接收论文1077篇,总提交4303篇,25%的接收率),相关报道:1077篇!ICCV2019接收结果公布,你中了吗?

此前我们也对CVPR2019的论文做了分类汇总:CVPR2019 | 论文分类汇总,而本帖是对ICCV2019顶会论文的实时跟进和分类,欢迎点击文末关注按钮,即可获取本帖最新更新消息。


目录

目标检测
语义分割
实例分割
姿态估计
目标跟踪
人脸识别
ReID
OCR
视频
超分辨率
自动驾驶
3D、点云
GCN
其他
(以计算机视觉具体研究方向划分,如有错误欢迎指出~)


目标检测

1、ThunderNet: Towards Real-time Generic Object Detection
ThunderNet:走向实时通用目标检测
作者:Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun
论文链接:https://arxiv.org/abs/1903.11752
论文解读:http://bbs.cvmart.net/articles/361


2、MemorizingNormality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) forUnsupervised Anomaly Detection
MemorizingNormality检测异常:内存增强深度自动编码器(MemAE)用于非监督异常检测
作者:Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
项目链接:https://donggong1.github.io/anomdec-memae.html
论文链接:https://arxiv.org/abs/1904.02639
GitHub:https://github.com/donggong1/memae-anomaly-detection


3、Deep Hough Voting for 3D Object Detection in Point Clouds(Oral)
深入投票进行点云中的三维目标检测
作者:Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
论文链接:https://arxiv.org/abs/1904.09664


4、Multi-adversarial Faster-RCNN for Unrestricted Object Detection
用于无限制目标检测的多对抗性更快RCNN
作者:Zhenwei He, Lei Zhang
论文链接:https://arxiv.org/abs/1907.10343


5、FCOS: Fully Convolutional One-Stage Object Detection
FCOS:完全卷积一级目标检测
作者:Zhi Tian, Chunhua Shen, Hao Chen, Tong He
论文链接:https://arxiv.org/abs/1904.01355
Github链接:https://github.com/tianzhi0549/FCOS/
论文解读: https://mp.weixin.qq.com/s/N93TrVnUuvAgfcoHXevTHw


6、Simultaneous multi-view instance detection with learned geometric soft-constraints
使用学习的几何软约束同时进行多视图实例检测
作者:Ahmed Samy Nassar, Sebastien Lefevre, Jan D. Wegner
论文链接:https://arxiv.org/abs/1907.10892


7、Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
Cap2Det:学习放大目标检测的弱字幕监控
作者:Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
论文链接:https://arxiv.org/abs/1907.10164


8、Towards Adversarially Robust Object Detection
对抗强大的目标检测
作者:Haichao Zhang, Jianyu Wang
论文链接:https://arxiv.org/abs/1907.10310


9、Few-shot Object Detection via Feature Reweighting
通过特征重新加权的快速物体检测
作者:Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
论文链接:https://arxiv.org/pdf/1812.01866.pdf


10、Optimizing the F-measure for Threshold-free Salient Object Detection
优化无阈值显着物体检测的F-测量
作者:Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-ming Cheng
论文链接:http://data.kaizhao.net/publications/iccv2019fmeasure.pdf
Github链接:https://github.com/zeakey/iccv2019-fmeasure
项目链接:http://kaizhao.net/fmeasure


语义分割

1、Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
用RGBD传感进行语义分割的增量类发现
作者:Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani
论文链接:https://arxiv.org/abs/1907.10008


2、TensorMask: A Foundation for Dense Object Segmentation
TensorMask:密集对象分割的基础
作者:Xinlei Chen, Ross Girshick, Kaiming He, and Piotr Dollár
论文链接:https://arxiv.org/abs/1903.12174


3、Orientation-aware Semantic Segmentation on Icosahedron Spheres
二十面体球面上的方向感知语义分割
作者:Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla
论文链接:https://arxiv.org/abs/1907.12849


4、Expectation-Maximization Attention Networks for Semantic Segmentation (Oral)
语义分割的期望最大化注意网络
作者: Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
论文链接:https://arxiv.org/abs/1907.13426


5、ACE: Adapting to Changing Environments for Semantic Segmentation
ACE:适应不断变化的环境进行语义分割
作者:Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
论文链接:https://arxiv.org/pdf/1904.06268.pdf


实例分割



姿态估计

1、Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ego-Pose估计和预测作为实时PD控制
作者:Ye Yuan, Kris Kitani
论文链接:https://arxiv.org/abs/1906.03173


2、xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
xR-EgoPose:HMD相机的以自我为中心的3D人体姿态
作者:Denis Tome, Patrick Peluse, Lourdes Agapito, Hernan Badino
论文链接:https://arxiv.org/abs/1907.10045


3、Selectivity or Invariance: Boundary-aware Salient Object Detection
选择性或不变性:边界感知的突出物体检测
作者:Jinming Su, Jia Li1, Yu Zhang, Changqun Xia and Yonghong Tian
论文链接:https://arxiv.org/pdf/1812.10066.pdf


4、Learnable Triangulation of Human Pose(Oral)
人体姿态的可验证三角测量
作者:Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov
论文链接:https://arxiv.org/abs/1905.05754
Github链接:https://github.com/karfly/learnable-triangulation-pytorch
项目链接:https://saic-violet.github.io/learnable-triangulation/


5、Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
来自单个RGB图像的3D多人姿态估计的摄像距离感知自上而下方法
作者:Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
论文链接:https://arxiv.org/abs/1907.11346
Github链接:https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE


目标跟踪

1、Joint Monocular 3D Detection and Tracking
联合单目3D检测和跟踪
作者:Hou-Ning Hu, Qizhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
论文链接:https://arxiv.org/abs/1811.10742
项目链接:https://eborboihuc.github.io/Mono-3DT/?fbclid=IwAR1maTNHE5z-vEwAJKIcNEpbMWwBcjWJQ0gEHOwHB-u51w5dfeiZNCh0y-U
GitHub:https://github.com/ucbdrive/3d-vehicle-tracking


2、Deep Meta Learning for Real-Time Target-Aware Visual Tracking
用于实时目标感知视觉跟踪的深度元学习
作者:Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee
论文链接:https://arxiv.org/pdf/1712.09153.pdf


人脸识别

ing


ReID

ing


OCR

1、GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
GA-DAN:用于场景文本检测和识别的几何感知域适应网络
作者:Fangneng Zhan, Chuhui Xue, Shijian Lu
论文链接:https://arxiv.org/abs/1907.09653


视频

1、HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
HowTo100M:通过观看数以亿计的视频剪辑来学习文本视频嵌入
作者:Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic
论文链接:https://arxiv.org/abs/1906.03327


2、VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
用于视频和语言研究的大规模,高质量多语言数据集
作者:Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang
论文链接:https://arxiv.org/abs/1904.03493
项目链接:http://vatex.org/main/index.html
论文解读:https://mp.weixin.qq.com/s/bOpKXshitpQ1YKE53WUPEw


3、BMN: Boundary-Matching Network for Temporal Action Proposal Generation
BMN:用于生成时间行动提案的边界匹配网络
作者:Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen
论文链接:https://arxiv.org/abs/1907.09702


4、Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
使用3D门控卷积和时间PatchGAN进行自由视频修复
作者:Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu
论文链接:https://arxiv.org/abs/1904.10247
Github链接:https://github.com/amjltc295/Free-Form-Video-Inpainting


5、SlowFast Networks for Video Recognition(Oral)
用于视频识别的SlowFast网络
作者:Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He
论文链接:https://arxiv.org/abs/1812.03982


6、Point-to-Point Video Generation
点对点视频生成
作者:Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun
论文链接:https://arxiv.org/abs/1904.02912
项目链接:https://zswang666.github.io/P2PVG-Project-Page/?fbclid=IwAR1Cr-T54keo5zzaWLQuYNQMcPoKzXGr6-YrTDoauW6Hb5bOSwgluZQ3fIE


7、Disentangling Propagation and Generation for Video Prediction
作者:Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell
论文链接:https://arxiv.org/pdf/1812.00452.pdf


8、Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition (Oral)
作者:Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen
论文链接:https://arxiv.org/abs/1907.13369


9、VideoBERT: A Joint Model for Video and Language Representation Learning ( Oral )
VideoBERT:视频和语言表征学习的联合模型
作者:Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
论文链接:https://arxiv.org/abs/1904.01766


超分辨率

1、Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications(Oral)
Deep SR-ITM:4K UHD HDR应用的超分辨率和反色调映射联合学习
作者:Soo Ye Kim, Jihyong Oh, Munchurl Kim
论文链接:https://arxiv.org/abs/1904.11176


自动驾驶

1、Exploring the Limitations of Behavior Cloning for Autonomous Driving
探讨自动驾驶行为克隆的局限性
作者:Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
论文链接:https://arxiv.org/abs/1904.08980
Github链接:https://github.com/felipecode/coiltraine/blob/master/docs/exploring_limitations.md


3D、点云

1、Deep Hough Voting for 3D Object Detection in Point Clouds(Oral)
DHV:点云中的三维物体检测
作者:Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
论文链接:https://arxiv.org/abs/1904.09664


2、3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition
3D点云学习用于大规模环境分析和场所识别
作者:Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Yingtian Liu, Hesheng Wang, Yun-Hui Liu
论文链接:https://arxiv.org/abs/1812.07050


3、Learning to Reconstruct 3D Manhattan Wireframes from a Single Image ( Oral )
学习从单个图像重建3D曼哈顿线框
作者:Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
论文链接:https://arxiv.org/abs/1905.07482


4、GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping
GarNet:一个快速准确的3D布料覆盖双流网络
作者:Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
论文链接:https://arxiv.org/abs/1811.10983v2
项目链接:https://cvlab.epfl.ch/research/garment-simulation/garnet/


5、3D-RelNet: Joint Object and Relational Network for 3D Prediction
3D-RelNet:用于3D预测的联合对象和关系网络
作者:Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta
论文链接:https://arxiv.org/pdf/1906.02729.pdf


6、PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows(Oral)
PointFlow:使用连续正常化流程生成3D点云
作者:Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
论文链接:https://arxiv.org/abs/1906.12320
Github链接:https://github.com/stevenygd/PointFlow
项目链接:https://www.guandaoyang.com/PointFlow/


7、Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
多角度点云-VAE:通过联合自我重建和半对半预测从多角度的三维点云进行无监督特征学习
作者:Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
论文链接:https://arxiv.org/abs/1907.12704


8、SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
SceneGraphNet:神经消息传递3D室内场景增强
作者:Yang Zhou, Zachary While, Evangelos Kalogerakis
论文链接:https://arxiv.org/abs/1907.11308


9、HoloGAN: Unsupervised learning of 3D representations from natural images
HoloGAN:从自然图像中无监督地学习3D表示
作者:Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
论文链接:https://arxiv.org/abs/1904.01326
项目链接:https://www.monkeyoverflow.com/#/hologan-unsupervised-learning-of-3d-representations-from-natural-images/


10、FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
FrameNet:从单个RGB图像学习3D表面的局部规范框架
作者:Jingwei Huang, Yichao Zhou, Thomas Funkhouser, Leonidas Guibas
论文链接:https://arxiv.org/pdf/1903.12305.pdf


11、Face De-occlusion using 3D Morphable Model and Generative Adversarial
使用3D可变模型和生成对抗性进行面部去遮挡
作者:Xaiowei Yuan and In Kyu Park
论文链接:http://image.inha.ac.kr/paper/ICCV2019_Xaiowei.pdf


12、Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction
用于三维场景重建的多层深度和极线特征变换器
作者:Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes
论文链接:https://arxiv.org/abs/1902.06729



GCN

1、Can GCNs Go as Deep as CNNs?
作者:Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem
论文链接:https://arxiv.org/abs/1904.03751
GitHub:https://github.com/lightaime/deep_gcns


其他

1、Meta-Sim Learning to Generate Synthetic Datasets (Oral)
Meta-Sim学习生成合成数据集
作者:Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
项目链接:HTTPS://nv-tlabs.github.io/meta-sim/
论文链接:HTTPS://arxiv.org/abs/1904.11621


2、nocaps: novel object captioning at scale
nocaps:大规模的新颖物体字幕
作者:Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter
项目链接:https://nocaps.org
论文链接:https://arxiv.org/abs/1812.08658


3、Scene GraphPrediction with Limited Labels
作者:Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei
论文链接:https://arxiv.org/abs/1904.11622


4、Variational Adversarial Active Learning(Oral)
变异对抗主动学习
作者:Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
论文链接:https://arxiv.org/abs/1904.00370


5、The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs
Trajectron:使用动态时空图的概率多智能体轨迹建模
作者:Boris Ivanovic, Marco Pavone
论文链接:https://arxiv.org/abs/1810.05993


6、End-to-End Learning of Representations for Asynchronous Event-BasedData
异步事件数据表示的端到端学习
作者:Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
论文链接:https://arxiv.org/abs/1904.08245


7、End-to-End Wireframe Parsing
端到端线框解析
作者:Yichao Zhou, Haozhi Qi, Yi Ma
论文链接:https://arxiv.org/abs/1905.03246
Github链接:https://github.com/zhou13/lcnn


8、Correlation Congruence for Knowledge Distillation
知识蒸馏的相关同余
作者:Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
论文链接:https://arxiv.org/abs/1904.018029


9、Equivariant Multi-View Networks (Oral)
Equivariant多视图网络
作者:Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis
论文链接:https://arxiv.org/abs/1904.00993
Github链接:https://github.com/daniilidis-group/emvn


10、Episodic Training for Domain Generalization
领域泛化的模式训练
作者:Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
论文链接:https://arxiv.org/abs/1902.00113


11、Few-shot Unsupervised Image-to-Image Translation
作者:Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
论文链接:https://arxiv.org/abs/1905.01723
Github链接:https://github.com/nvlabs/FUNIT/
项目链接:http://www.cs.cornell.edu/~xhuang/publication/funit/


12、Tex2Shape: Detailed Full Human Body Geometry from a Single Image
Tex2Shape:单个图像的人体详细几何特征
作者:Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor
论文链接:https://arxiv.org/abs/1904.08645
Github链接:https://github.com/thmoa/tex2shape


13、Semi-supervised Domain Adaptation via Minimax Entropy
通过Minimax熵进行半监督的域适应
作者:Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
论文链接:https://arxiv.org/abs/1904.06487


14、Canonical Surface Mapping via Geometric Cycle Consistency
通过几何周期一致性的经典表面映射
作者:Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani
论文链接:https://arxiv.org/abs/1907.10043
项目链接:https://nileshkulkarni.github.io/csm/


15、U4D: Unsupervised 4D Dynamic Scene Understanding
U4D:无监督的4D动态场景理解
作者:Armin Mustafa, Chris Russell, Adrian Hilton
论文链接:https://arxiv.org/abs/1907.09905


16、Scoot: A Perceptual Metric for Facial Sketches
Scoot:面部草图的感知度量
作者:Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L Rosin, Rongrong Ji
论文链接:http://dpfan.net/wp-content/uploads/FaceSketch.pdf
Github链接:http://dpfan.net/wp-content/uploads/Scoot.zip
项目链接:http://dpfan.net/Scoot/


17、Similarity-Preserving Knowledge Distillation
相似性 - 保持知识蒸馏
作者:Frederick Tung, Greg Mori
论文链接:https://arxiv.org/abs/1907.09682


18、Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction
Tell,Draw和Repeat:基于连续的语言指令生成和修改图像
作者:Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor
论文链接:https://arxiv.org/pdf/1811.09845.pdf


19、Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
语义对抗性攻击:欺骗深度分类器的参数化变换
作者:Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
论文链接:https://arxiv.org/abs/1904.08489


20、What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
用滚动展开LSTM和模态注意预测自我中心行为
作者:Antonino Furnari, Giovanni Maria Farinella
项目链接:https://iplab.dmi.unict.it/rulstm/
论文链接:https://arxiv.org/pdf/1905.09035.pdf
GitHub:https://github.com/antoninofurnari/rulstm


21、Improving Adversarial Robustness via Guided Complement Entropy
通过引导补语熵提高对抗鲁棒性
作者:Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan.
论文链接:https://arxiv.org/abs/1903.09799
Github链接:https://github.com/henry8527/GCE


22、6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
6-DOF GraspNet:对象操作的变分抓取生成
作者:Arsalan Mousavian, Clemens Eppner, Dieter Fox
论文链接:https://arxiv.org/abs/1905.10520


23、Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
概率弹道预测语境中的变种损失分析
作者:Luca Anthony Thiede, Pratik Prabhanjan Brahma
论文链接:https://arxiv.org/abs/1907.10178


24、DAFL: Data-Free Learning of Student Networks
DAFL:学生网络的无数据学习
作者:Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
论文链接:https://arxiv.org/abs/1904.01186


25、Boosting Few-Shot Visual Learning with Self-Supervision
自我监督推动的少样本视觉学习
作者:Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
论文链接:https://arxiv.org/abs/1906.05186


26、A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers
Wahba问题异常值的基于四元数的可证明最优解
作者:Heng Yang, Luca Carlone
论文链接:https://arxiv.org/abs/1905.12536


27、Embodied Visual Recognition
人体视觉识别
作者:Jianwei Yang,Zhile Ren,Mingze Xu,Xinlei Chen,David Crandall,Devi Parikh,Dhruv Batra
项目链接:https://www.cc.gatech.edu/~jyang375/evr.html


28、Learning Implicit Generative Models by Matching Perceptual Features(Oral)
作者:Cicero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin
论文链接:https://arxiv.org/abs/1904.02762v1


29、Rethinking ImageNet Pre-training
作者:Kaiming He, Ross Girshick, and Piotr Dollár
论文链接:https://arxiv.org/abs/1811.08883


30、COCO-GAN: Generation by Parts via Conditional Coordinating(Oral)
COCO-GAN:通过条件协调按部件生成
作者:Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
论文链接:https://arxiv.org/abs/1904.00284
Github链接:https://github.com/hubert0527/COCO-GAN
项目链接:https://hubert0527.github.io/COCO-GAN/


31、Model Vulnerability to Distributional Shifts over Image Transformation Sets
作者:Riccardo Volpi, Vittorio Murino
论文链接:https://arxiv.org/abs/1903.11900
Github链接:https://github.com/ricvolpi/domain-shift-robustness


32、Exploring Randomly Wired Neural Networks for Image Recognition(Oral)
探索随机有线神经网络进行图像识别
作者:Saining Xie, Alexander Kirillov, Ross Girshick, and Kaiming He
论文链接:https://arxiv.org/abs/1904.01569


33、Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
作者:Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Woo, Ruxin Chen, Jian Zheng
论文链接:https://arxiv.org/abs/1907.12743
Github链接:http://github.com/cmhungsteve/TA3N


34、Creativity Inspired Zero-Shot Learning
启发式的零样本学习
作者:Mohamed Elhoseiny, Mohamed Elfeki
论文链接:https://arxiv.org/abs/1904.01109


35、Model Vulnerability to Distributional Shifts over Image Transformation Sets
作者:Riccardo Volpi, Vittorio Murino
论文链接:https://arxiv.org/abs/1903.11900
Github链接:https://github.com/ricvolpi/domain-shift-robustness


36、Coherent Semantic Attention for Image Inpainting
图像修复的连贯语义注意力机制
作者:Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang
论文链接:https://arxiv.org/abs/1905.12384


37、Learning to Paint with Model-based Deep Reinforcement Learning
基于模型的深层强化学习学习绘画
作者:Zhewei Huang, Wen Heng, Shuchang Zhou
论文链接:https://arxiv.org/abs/1903.04411
Github链接:https://github.com/hzwer/ICCV2019-LearningToPaint


38、LayoutVAE: Stochastic Scene Layout Generation from a Label Set
LayoutVAE:从标签集生成随机场景布局
作者:Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
论文链接:https://arxiv.org/abs/1907.10719


39、Co-Evolutionary Compression for Unpaired Image Translation
非成对图像翻译的共同进化压缩
作者:Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
论文链接:https://arxiv.org/abs/1907.10804


40、Enhancing Adversarial Example Transferability with an Intermediate Level Attack
通过中级攻击增强对抗性示例可转移性
作者:Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim
论文链接:https://arxiv.org/abs/1907.10823


41、Gated2Depth: Real-time Dense Lidar from Gated Images
Gated2Depth:来自门控图像的实时密集激光雷达
作者:Tobias Gruber, Frank Julca-Aguilar,Mario Bijelic,Werner Ritter,Klaus Dietmayer,Felix Heide
论文链接:https://www.cs.princeton.edu/~fheide/papers/Gated2Depth_preprint.pdf


42、Counting with Focus for Free
作者:Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
论文链接:https://arxiv.org/abs/1903.12206
Github链接:https://github.com/shizenglin/Counting-with-Focus-for-Free


43、PU-GAN: a Point Cloud Upsampling Adversarial Network
作者:Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
论文链接:https://arxiv.org/abs/1907.10844


44、Moment Matching for Multi-Source Domain Adaptation (Oral)
多源域适应的配套匹配
作者:Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
论文链接:https://arxiv.org/abs/1812.01754


45、EMPNet: Neural Localisation and Mapping using Embedded Memory Points
EMPNet:使用嵌入式存储点的神经定位和映射
作者:Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
论文链接:https://arxiv.org/abs/1907.13268


46、Learning Compositional Representations for Few-Shot Recognition
少样本识别的构图表示学习
作者:Pavel Tokmakov, Yuxiong Wang, Martial Hebert
论文链接:https://sites.google.com/view/comprepr/home


47、Digging Into Self-Supervised Monocular Depth Estimation
自我监督单眼深度估计的研究
作者:Clement Godard, Oisin Mac Aodha, Michael Firman, Gabriel Brostow
论文链接:https://arxiv.org/pdf/1806.01260.pdf


48、Deep Interpretable Non-Rigid Structure from Motion
运动的深层可解释的非刚性结构
作者:Chen Kong, Simon Lucey
论文链接:https://arxiv.org/pdf/1902.10840.pdf


49、PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG:视觉多代理设置中的目标条件
作者:Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
论文链接:https://arxiv.org/pdf/1905.01296.pdf
项目链接:https://sites.google.com/view/precog


50、Lifelong GAN: Continual Learning for Conditional Image Generation
终身GAN:条件图像生成的持续学习
作者:Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori
论文链接:https://arxiv.org/abs/1907.10107


52、An Empirical Study of Spatial Attention Mechanisms in Deep Networks
深度网络空间注意机制的实证研究
作者:Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
论文链接:https://arxiv.org/pdf/1904.05873.pdf


53、Fashion++: Minimal Edits for Outfit Improvement
Fashion ++:改进装备的最小编辑
作者:Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
论文链接:https://arxiv.org/pdf/1904.09261.pdf


54、Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
Align2Ground:由图像标题对齐引导的弱监督短语接地
作者:Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran
论文链接:https://arxiv.org/pdf/1903.11649.pdf


55、Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
做一个提示:利用解释使视觉和语言模型更加扎实
作者:Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh
论文链接:https://arxiv.org/pdf/1902.03751.pdf


56、SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
SplitNet:用于体验视觉导航的Sim2Sim和Task2Task转移
作者:Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
论文链接:https://arxiv.org/pdf/1905.07512.pdf


57、Habitat: A Platform for Embodied AI Research ( Oral )
Habitat:体验人工智能研究的平台
作者:Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
论文链接:https://arxiv.org/abs/1904.01201


58、EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
EM-Fusion:具有概率数据关联的动态对象级SLAM
作者:Michael Strecke, Jörg Stückler
论文链接:https://arxiv.org/abs/1904.11781


59、Texture Fields: Learning Texture Representations in Function Space
纹理字段:在函数空间中学习纹理表示
作者:Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
论文链接:https://arxiv.org/abs/1905.07259


60、AMASS: Archive of Motion Capture as Surface Shapes
AMASS:将运动捕捉存档为表面形状
作者:Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black
论文链接:https://arxiv.org/abs/1904.03278


61、End-to-end Learning for Graph Decomposition
图形分解的端到端学习
作者:Jie Song, Bjoern Andres, Michael Black, Otmar Hilliges, Siyu Tang
论文链接:https://arxiv.org/pdf/1812.09737.pdf


62、Towards Multi-pose Guided Virtual Try-on Network
Towards多姿态引导虚拟试穿网络
作者:Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin
论文链接:https://arxiv.org/abs/1902.11026


63、On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
利用无梯度优化和算子分裂方法设计黑盒对抗实例
作者:Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
论文链接:https://arxiv.org/abs/1907.11684


64、Goal-Driven Sequential Data Abstraction
目标驱动的顺序数据抽象
作者:Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
论文链接:https://arxiv.org/abs/1907.12336


65、Recursive Cascaded Networks for Unsupervised Medical Image Registration
用于无监督医学图像配准的递归级联网络
作者: Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu
论文链接:https://arxiv.org/abs/1907.12353


66、Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting
学习规模:为人群计数生成多极归一化密度图
作者:Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai
论文链接:https://arxiv.org/abs/1907.12428


67、MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning:自动神经网络通道修剪的元学习
作者:Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Tim Kwang-Ting Cheng, Jian Sun
论文链接:https://arxiv.org/abs/1903.10258


68、Switchable Whitening for Deep Representation Learning
作者:Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo
论文链接:https://arxiv.org/abs/1904.09739


69、Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
作者:Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
论文链接:https://arxiv.org/abs/1904.05049


70、Task2Vec: Task Embedding for Meta-Learning
Task2Vec:元学习的任务嵌入
作者:Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano Soatto, Pietro Perona
论文链接:https://arxiv.org/abs/1902.03545


71、CARAFE: Content-Aware ReAssembly of FEatures ( Oral )
CARAFE:内容意识重新组装特征
作者:Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
论文链接:https://arxiv.org/pdf/1905.02188.pdf

本帖由 sophie 于 2周前 置顶
成为第一个点赞的人吧 :bowtie:
回复数量: 0
暂无回复~
您需要登陆以后才能留下评论!