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Predicting Personal Traits from Facial Images using Convolutional Neural
  Networks Augmented with Facial Landmark Information

Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information

29 May 2016
Yoad Lewenberg
Valliappa Chockalingam
Satinder Singh
Honglak Lee
    CVBM
ArXivPDFHTML

Papers citing "Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information"

50 / 70 papers shown
Title
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
82
1
0
20 Feb 2025
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
Ziyue Wang
Chi Chen
Fuwen Luo
Yurui Dong
Yuanchi Zhang
Yuzhuang Xu
Xiaolong Wang
Peng Li
Yang Liu
LRM
43
3
0
07 Oct 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
33
1
0
04 Oct 2024
Deep Reinforcement Learning Based Toolpath Generation for Thermal
  Uniformity in Laser Powder Bed Fusion Process
Deep Reinforcement Learning Based Toolpath Generation for Thermal Uniformity in Laser Powder Bed Fusion Process
M. Qin
Junhao Ding
Shuo Qu
Xu Song
Charlie C. L. Wang
W. Liao
AI4CE
23
5
0
17 Feb 2024
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
25
5
0
23 Nov 2022
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object
  Transport
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport
S. Narayanan
Dinesh Jayaraman
Manmohan Chandraker
24
1
0
28 Oct 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
35
324
0
13 Jun 2022
Large-Scale Retrieval for Reinforcement Learning
Large-Scale Retrieval for Reinforcement Learning
Peter C. Humphreys
A. Guez
O. Tieleman
Laurent Sifre
T. Weber
Timothy Lillicrap
RALM
OffRL
40
26
0
10 Jun 2022
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual
  Imitation Learning
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Maximilian Du
Olivia Y. Lee
Suraj Nair
Chelsea Finn
OffRL
57
33
0
30 May 2022
Learning Long-Horizon Robot Exploration Strategies for Multi-Object
  Search in Continuous Action Spaces
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
F. Schmalstieg
Daniel Honerkamp
Tim Welschehold
Abhinav Valada
44
19
0
23 May 2022
Local-Global Context Aware Transformer for Language-Guided Video
  Segmentation
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
Chen Liang
Wenguan Wang
Tianfei Zhou
Jiaxu Miao
Yawei Luo
Yi Yang
VOS
29
74
0
18 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
22
9
0
24 Feb 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for
  Differentiable Neural Computer
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer
Yaoyu Tao
Zhengya Zhang
30
5
0
15 Feb 2022
Navigating to Objects in Unseen Environments by Distance Prediction
Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu
Binglei Zhao
Tao Kong
18
32
0
08 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep
  RL in Large Networked Systems
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau
Jinke He
M. Spaan
F. Oliehoek
27
4
0
03 Feb 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
45
34
0
07 Dec 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain
Yachen Kang
Jinxin Liu
Xin Cao
Donglin Wang
23
3
0
21 Oct 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object
  Navigation
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
42
23
0
13 Jul 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task
  Reinforcement Learning
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
Stephen Kelly
Tatiana Voegerl
W. Banzhaf
C. Gondro
45
13
0
23 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner
Qiyang Li
Sergey Levine
OffRL
66
649
0
03 Jun 2021
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Yuxuan Chen
Li Zhang
Shijian Li
Gang Pan
21
2
0
22 Apr 2021
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Xiangru Lin
Guanbin Li
Yizhou Yu
LM&Ro
22
52
0
24 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual
  Navigation
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
Zachary Seymour
Kowshik Thopalli
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
3DPC
24
18
0
21 Mar 2021
Structured Scene Memory for Vision-Language Navigation
Structured Scene Memory for Vision-Language Navigation
Hanqing Wang
Wenguan Wang
Wei Liang
Caiming Xiong
Jianbing Shen
LM&Ro
32
114
0
05 Mar 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
57
73
0
01 Jan 2021
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani
Shivansh Patel
Unnat Jain
Angel X. Chang
Manolis Savva
34
104
0
07 Dec 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path
  Integrals and Deep Actor-Critic Reinforcement Learning
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
Jiajun Fan
He Ba
Xian Guo
Jianye Hao
OffRL
16
5
0
13 Nov 2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial
  Buildings
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu
Yi Sun
Zhanbo Xu
Chao Shen
Dong Yue
Tao Jiang
X. Guan
AI4CE
16
212
0
25 Jun 2020
Neural Topological SLAM for Visual Navigation
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot
Ruslan Salakhutdinov
Abhinav Gupta
Saurabh Gupta
30
291
0
25 May 2020
Maximizing Information Gain in Partially Observable Environments via
  Prediction Reward
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Yash Satsangi
Sungsu Lim
Shimon Whiteson
F. Oliehoek
Martha White
27
15
0
11 May 2020
Planning from Images with Deep Latent Gaussian Process Dynamics
Planning from Images with Deep Latent Gaussian Process Dynamics
Nathanael Bosch
Jan Achterhold
Laura Leal-Taixé
J. Stückler
17
1
0
07 May 2020
Reinforcement Learning-based Visual Navigation with
  Information-Theoretic Regularization
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
14
30
0
09 Dec 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Mature GAIL: Imitation Learning for Low-level and High-dimensional Input
  using Global Encoder and Cost Transformation
Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation
Wonsup Shin
Hyolim Kang
Sunghoon Hong
11
0
0
07 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement
  Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
18
36
0
06 Sep 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss
Brandon Houghton
Nicholay Topin
Phillip Wang
Cayden R. Codel
Manuela Veloso
Ruslan Salakhutdinov
OffRL
19
218
0
29 Jul 2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
Jonathan Gray
Kavya Srinet
Yacine Jernite
Haonan Yu
Zhuoyuan Chen
Demi Guo
Siddharth Goyal
C. L. Zitnick
Arthur Szlam
38
39
0
19 Jul 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating
  Next Expected Observations
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu
Tianyi Zhou
Jun Wang
Kai Xu
16
15
0
17 Jun 2019
Long Range Neural Navigation Policies for the Real World
Long Range Neural Navigation Policies for the Real World
Ayzaan Wahid
Alexander Toshev
Marek Fiser
T. Lee
24
17
0
23 Mar 2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang
Alexander Toshev
Li Fei-Fei
Silvio Savarese
OffRL
13
200
0
09 Mar 2019
Learning To Follow Directions in Street View
Learning To Follow Directions in Street View
Karl Moritz Hermann
Mateusz Malinowski
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
R. Hadsell
SSL
26
66
0
01 Mar 2019
Understanding and Controlling Memory in Recurrent Neural Networks
Understanding and Controlling Memory in Recurrent Neural Networks
Doron Haviv
A. Rivkind
O. Barak
19
20
0
19 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback
Deep Reinforcement Learning from Policy-Dependent Human Feedback
Dilip Arumugam
Jun Ki Lee
S. Saskin
Michael L. Littman
28
94
0
12 Feb 2019
Complementary reinforcement learning towards explainable agents
Complementary reinforcement learning towards explainable agents
J. H. Lee
21
12
0
01 Jan 2019
Fast deep reinforcement learning using online adjustments from the past
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen
Pablo Sprechmann
Alexander Pritzel
André Barreto
Charles Blundell
TTA
OffRL
OnRL
18
42
0
18 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
737
0
05 Oct 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
21
808
0
07 Sep 2018
Leveraging Motion Priors in Videos for Improving Human Segmentation
Leveraging Motion Priors in Videos for Improving Human Segmentation
Yu-Ting Chen
Wen-Yen Chang
Hai Lu
Tingfan Wu
Min Sun
23
2
0
30 Jul 2018
Approximate Bayesian inference in spatial environments
Approximate Bayesian inference in spatial environments
Atanas Mirchev
Baris Kayalibay
Maximilian Soelch
Patrick van der Smagt
Justin Bayer
BDL
16
22
0
18 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed
  Environments
Generative Temporal Models with Spatial Memory for Partially Observed Environments
Marco Fraccaro
Danilo Jimenez Rezende
Yori Zwols
Alexander Pritzel
S. M. Ali Eslami
Fabio Viola
31
28
0
25 Apr 2018
12
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