Mixture Dense Regression for Object Detection and Human Pose Estimation

2 December 2019

Tinne Tuytelaars

Papers citing "Mixture Dense Regression for Object Detection and Human Pose Estimation"

39 / 39 papers shown

Title
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 100 1,367 0 08 Aug 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 102 191 0 09 Jun 2019
Objects as Points Xingyi Zhou Dequan Wang Philipp Krahenbuhl 3DPC 101 3,253 0 16 Apr 2019
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network Chen Li Gim Hee Lee 3DH 42 207 0 11 Apr 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi Dayoung Chun Hyun Kim Hyuk-Jae Lee 71 399 0 09 Apr 2019
PifPaf: Composite Fields for Human Pose Estimation S. Kreiss Lorenzo Bertoni Alexandre Alahi 3DH 64 423 0 15 Mar 2019
Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu Zhijian Liu Chen Sun Kevin Patrick Murphy William T. Freeman J. Tenenbaum Jiajun Wu OCL 64 61 0 12 Mar 2019
Feature Selective Anchor-Free Module for Single-Shot Object Detection Chenchen Zhu Yihui He Marios Savvides ObjD 71 797 0 02 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points Xingyi Zhou Jiacheng Zhuo Philipp Krahenbuhl ObjD 110 864 0 23 Jan 2019
Scale-Aware Trident Networks for Object Detection Yanghao Li Yuntao Chen Naiyan Wang Zhaoxiang Zhang ObjD 78 883 0 07 Jan 2019
Rethinking on Multi-Stage Networks for Human Pose Estimation Wenbo Li Zhicheng Wang Binyi Yin Qixiang Peng Yuming Du Tianzi Xiao Gang Yu Hongtao Lu Yichen Wei Jian Sun 3DH 71 244 0 01 Jan 2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui Vladan Radosavljevic Fang-Chieh Chou Tsung-Han Lin Thi Nguyen Tzu-Kuo Huang J. Schneider Nemanja Djuric 58 612 0 18 Sep 2018
CornerNet: Detecting Objects as Paired Keypoints Hei Law Jia Deng ObjD 67 3,617 0 03 Aug 2018
SNIPER: Efficient Multi-Scale Training Bharat Singh Mahyar Najibi L. Davis ObjD 75 486 0 23 May 2018
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification Sergey Prokudin Peter V. Gehler Sebastian Nowozin UQCV OOD 58 88 0 09 May 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 105 21,432 0 08 Apr 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model George Papandreou Tyler Lixuan Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Patrick Murphy 40 546 0 22 Mar 2018
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network Qianru Ye Tae-Kyun Kim 3DH 94 53 0 29 Nov 2017
Cascaded Pyramid Network for Multi-Person Pose Estimation Yilun Chen Zhicheng Wang Yuxiang Peng Zhiqiang Zhang Gang Yu Jian Sun 123 1,427 0 20 Nov 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 3,000 0 07 Aug 2017
Deep Layer Aggregation Feng Yu Dequan Wang Evan Shelhamer Trevor Darrell AI4CE FAtt 142 1,327 0 20 Jul 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 346 27,174 0 20 Mar 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses Christian Rupprecht Iro Laina R. DiPietro Maximilian Baust Federico Tombari Nassir Navab Gregory D. Hager 52 185 0 01 Dec 2016
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Tomas Simon S. Wei Yaser Sheikh 3DH 149 6,537 0 24 Nov 2016
Associative Embedding: End-to-End Learning for Joint Detection and Grouping Alejandro Newell Zhiao Huang Jia Deng 83 919 0 16 Nov 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 63 178 0 24 Jun 2016
Recurrent Human Pose Estimation Vasileios Belagiannis Andrew Zisserman 3DH 53 311 0 10 May 2016
Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell Kaiyu Yang Jia Deng 3DH 115 5,024 0 22 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 211 29,808 0 08 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 293 5,521 0 23 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks Stefan Lee Senthil Purushwalkam Michael Cogswell David J. Crandall Dhruv Batra FedML UQCV 101 316 0 19 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 671 36,923 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 484 62,243 0 04 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 424 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 389 43,619 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 280 26,168 0 11 Nov 2013