ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.03631
  4. Cited By
Overcoming Limitations of Mixture Density Networks: A Sampling and
  Fitting Framework for Multimodal Future Prediction

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

9 June 2019
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
ArXivPDFHTML

Papers citing "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"

11 / 111 papers shown
Title
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
27
251
0
10 Apr 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal
  Inference
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
Mai Bui
Tolga Birdal
Haowen Deng
Shadi Albarqouni
Leonidas J. Guibas
Slobodan Ilic
Nassir Navab
22
26
0
09 Apr 2020
Deep Neural Network in Cusp Catastrophe Model
Deep Neural Network in Cusp Catastrophe Model
Ranadeep Daw
Zhuoqiong He
9
1
0
06 Apr 2020
SimAug: Learning Robust Representations from Simulation for Trajectory
  Prediction
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
Junwei Liang
Lu Jiang
Alexander G. Hauptmann
36
18
0
04 Apr 2020
PLOP: Probabilistic poLynomial Objects trajectory Planning for
  autonomous driving
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving
Thibault Buhet
É. Wirbel
Andrei Bursuc
Xavier Perrotton
12
32
0
09 Mar 2020
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang
Lu Jiang
Kevin Patrick Murphy
Ting Yu
Alexander G. Hauptmann
12
159
0
13 Dec 2019
Mixture Dense Regression for Object Detection and Human Pose Estimation
Mixture Dense Regression for Object Detection and Human Pose Estimation
Ali Varamesh
Tinne Tuytelaars
21
51
0
02 Dec 2019
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve
  mixtures
Modeling continuous-time stochastic processes using N\mathcal{N}N-Curve mixtures
Ronny Hug
Wolfgang Hubner
Michael Arens
20
0
0
12 Aug 2019
Human Motion Trajectory Prediction: A Survey
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko
Luigi Palmieri
Michael Herman
Kris M. Kitani
D. Gavrila
Kai O. Arras
34
726
0
15 May 2019
Improving Confidence Estimates for Unfamiliar Examples
Improving Confidence Estimates for Unfamiliar Examples
Zhizhong Li
Derek Hoiem
17
9
0
09 Apr 2018
Deep Learning Driven Visual Path Prediction from a Single Image
Deep Learning Driven Visual Path Prediction from a Single Image
Siyu Huang
Xi Li
Zhongfei Zhang
Zhouzhou He
Fei Wu
Wei Liu
Jinhui Tang
Yueting Zhuang
51
60
0
27 Jan 2016
Previous
123