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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"

50 / 111 papers shown
Title
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid
  Maps
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps
Ke Guo
Wenxi Liu
Jia-Yu Pan
30
33
0
31 Mar 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for
  Monocular Object Pose Estimation
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Hansheng Chen
Pichao Wang
Fan Wang
Wei Tian
Lu Xiong
Hao Li
93
146
0
24 Mar 2022
Taming the Long Tail of Deep Probabilistic Forecasting
Taming the Long Tail of Deep Probabilistic Forecasting
Jedrzej Kozerawski
Mayank Sharan
Rose Yu
AI4TS
13
7
0
27 Feb 2022
SAGA: Stochastic Whole-Body Grasping with Contact
SAGA: Stochastic Whole-Body Grasping with Contact
Yongpeng Wu
Jiahao Wang
Yan Zhang
Siwei Zhang
Otmar Hilliges
F. I. F. Richard Yu
Siyu Tang
SLR
24
77
0
19 Dec 2021
Quantifying Multimodality in World Models
Quantifying Multimodality in World Models
Andreas Sedlmeier
Michael Kölle
Robert Muller
Leo Baudrexel
Claudia Linnhoff-Popien
OffRL
20
1
0
14 Dec 2021
Predicting Physical World Destinations for Commands Given to
  Self-Driving Cars
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
Dusan Grujicic
Thierry Deruyttere
Marie-Francine Moens
Matthew Blaschko
OOD
24
6
0
10 Dec 2021
Jointly Learning Agent and Lane Information for Multimodal Trajectory
  Prediction
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction
Jie Wang
Caili Guo
Minan Guo
Jiujiu Chen
21
5
0
26 Nov 2021
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to
  Video Prediction
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Wentao He
Jianfeng Ren
Ruibin Bai
Xudong Jiang
LRM
35
5
0
24 Nov 2021
Learning Proposals for Practical Energy-Based Regression
Learning Proposals for Practical Energy-Based Regression
L. Kumar
Martin Danelljan
Thomas B. Schon
30
4
0
22 Oct 2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory
  Prediction
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Osama Makansi
Julius von Kügelgen
Francesco Locatello
Peter V. Gehler
Dominik Janzing
Thomas Brox
Bernhard Schölkopf
FAtt
32
28
0
11 Oct 2021
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty
  Modeling
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling
Tobias Leemann
Moritz Sackmann
J. Thielecke
U. Hofmann
17
1
0
06 Oct 2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
  Adaptive Sampling
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang
Guy Rosman
Igor Gilitschenski
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
18
26
0
05 Oct 2021
Deep Visual Navigation under Partial Observability
Deep Visual Navigation under Partial Observability
Bo Ai
Wei Gao
Vinay
David Hsu
13
10
0
16 Sep 2021
Learning to Predict Diverse Human Motions from a Single Image via
  Mixture Density Networks
Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks
Chunzhi Gu
Yan Zhao
Chao Zhang
3DH
19
8
0
13 Sep 2021
Stochastic Scene-Aware Motion Prediction
Stochastic Scene-Aware Motion Prediction
Mohamed Hassan
Duygu Ceylan
Ruben Villegas
Jun Saito
Jimei Yang
Yi Zhou
Michael J. Black
VGen
18
174
0
18 Aug 2021
Distributional Depth-Based Estimation of Object Articulation Models
Distributional Depth-Based Estimation of Object Articulation Models
Ajinkya Jain
S. Giguere
Rudolf Lioutikov
S. Niekum
14
20
0
12 Aug 2021
Decoder Fusion RNN: Context and Interaction Aware Decoders for
  Trajectory Prediction
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
Edoardo Mello Rella
Jan-Nico Zaech
Alexander Liniger
Luc Van Gool
AI4CE
27
14
0
12 Aug 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory
  Prediction
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Fang Zheng
Le Wang
Sanping Zhou
Wei Tang
Zhenxing Niu
N. Zheng
G. Hua
AI4TS
19
33
0
31 Jul 2021
Adversarial Mixture Density Networks: Learning to Drive Safely from
  Collision Data
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
Sampo Kuutti
Saber Fallah
Richard Bowden
GAN
8
3
0
09 Jul 2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo
Eric M. Wolff
Oscar Beijbom
27
164
0
28 Jun 2021
Multiple Object Tracking with Mixture Density Networks for Trajectory
  Estimation
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
Andreu Girbau
Xavier Giró-i-Nieto
Ignasi Rius
F. Marqués
VOT
3DPC
24
15
0
21 Jun 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan
Ramin Moslemi
Francesco Pittaluga
Buyu Liu
Manmohan Chandraker
34
55
0
16 Apr 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic
  Actors
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Osama Makansi
Özgün Çiçek
Yassine Marrakchi
Thomas Brox
29
46
0
23 Mar 2021
Continuous 3D Multi-Channel Sign Language Production via Progressive
  Transformers and Mixture Density Networks
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Ben Saunders
Necati Cihan Camgöz
Richard Bowden
SLR
33
77
0
11 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Mohammadhossein Bahari
Ismail Nejjar
Alexandre Alahi
16
49
0
08 Mar 2021
Probability Trajectory: One New Movement Description for Trajectory
  Prediction
Probability Trajectory: One New Movement Description for Trajectory Prediction
Pei Lv
Hui Wei
Tianxin Gu
Yuzhen Zhang
Xiaoheng Jiang
Bing Zhou
Mingliang Xu
33
0
0
26 Jan 2021
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided
  by Human Attention
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
Congcong Liu
Yuying Chen
Ming-Yu Liu
Bertram E. Shi
19
23
0
14 Jan 2021
Probabilistic electric load forecasting through Bayesian Mixture Density
  Networks
Probabilistic electric load forecasting through Bayesian Mixture Density Networks
A. Brusaferri
Matteo Matteucci
S. Spinelli
Andrea Vitali
15
38
0
23 Dec 2020
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose
  Estimation
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
Haowen Deng
Mai Bui
Nassir Navab
Leonidas J. Guibas
Slobodan Ilic
Tolga Birdal
3DH
28
58
0
20 Dec 2020
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D Object Detection using Energy-Based Models
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
3DPC
38
10
0
08 Dec 2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction
RegFlow: Probabilistic Flow-based Regression for Future Prediction
Maciej Ziȩba
Marcin Przewiȩźlikowski
Marek Śmieja
Jacek Tabor
Tomasz Trzciñski
P. Spurek
AI4TS
AI4CE
19
11
0
30 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
223
0
20 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
51
1,879
0
12 Nov 2020
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
Srikanth Malla
Chiho Choi
Behzad Dariush
AI4TS
32
9
0
10 Nov 2020
Exploring Dynamic Context for Multi-path Trajectory Prediction
Exploring Dynamic Context for Multi-path Trajectory Prediction
Hao Cheng
Wentong Liao
Xuejiao Tang
M. Yang
Monika Sester
Bodo Rosenhahn
40
32
0
30 Oct 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting
  Pedestrians
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
B. Brito
Hai Zhu
Wei Pan
Javier Alonso-Mora
3DH
DRL
16
29
0
18 Oct 2020
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on
  Dynamic Social Graphs and Scene Constraints
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints
Hao Xue
D. Huynh
Mark Reynolds
25
9
0
12 Oct 2020
Handwriting Prediction Considering Inter-Class Bifurcation Structures
Handwriting Prediction Considering Inter-Class Bifurcation Structures
Masaki Yamagata
Hideaki Hayashi
S. Uchida
9
2
0
27 Sep 2020
Goal-Directed Occupancy Prediction for Lane-Following Actors
Goal-Directed Occupancy Prediction for Lane-Following Actors
Poornima Kaniarasu
G. C. Haynes
Micol Marchetti-Bowick
12
4
0
06 Sep 2020
DiverseNet: When One Right Answer is not Enough
DiverseNet: When One Right Answer is not Enough
Michael Firman
Neill D. F. Campbell
Lourdes Agapito
Gabriel J. Brostow
3DH
OOD
42
24
0
24 Aug 2020
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
124
115
0
24 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network
FRMDN: Flow-based Recurrent Mixture Density Network
S. Razavi
Reshad Hosseini
Tina Behzad
BDL
8
0
0
05 Aug 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh
Tinne Tuytelaars
VLM
27
4
0
18 Jul 2020
Long-term Human Motion Prediction with Scene Context
Long-term Human Motion Prediction with Scene Context
Zhe Cao
Hang Gao
K. Mangalam
Qi-Zhi Cai
Minh Vo
Jitendra Malik
3DH
30
243
0
07 Jul 2020
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for
  Autonomous Vehicles
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles
Chenxu Luo
Lin Sun
D. Dabiri
Alan Yuille
23
67
0
06 Jul 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning
  Components for Autonomous Vehicle Applications
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
F. Arnez
H. Espinoza
A. Radermacher
Franccois Terrier
UQCV
22
29
0
26 Jun 2020
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
Hao Cheng
Wentong Liao
M. Yang
Bodo Rosenhahn
Monika Sester
33
45
0
15 Jun 2020
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
Yuzhen Niu
Weifeng Shi
Wenxi Liu
Shengfeng He
Jianxiong Pan
Antoni B. Chan
11
3
0
09 Jun 2020
Multimodal Future Localization and Emergence Prediction for Objects in
  Egocentric View with a Reachability Prior
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior
Osama Makansi
Özgün Çiçek
Kevin Buchicchio
Thomas Brox
EgoV
30
34
0
08 Jun 2020
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