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. 2211.08086
  4. Cited By
Visually Grounded VQA by Lattice-based Retrieval

Visually Grounded VQA by Lattice-based Retrieval

15 November 2022
Daniel Reich
F. Putze
Tanja Schultz
ArXivPDFHTML

Papers citing "Visually Grounded VQA by Lattice-based Retrieval"

36 / 36 papers shown
Title
VisFIS: Visual Feature Importance Supervision with
  Right-for-the-Right-Reason Objectives
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives
Zhuofan Ying
Peter Hase
Joey Tianyi Zhou
LRM
58
13
0
22 Jun 2022
ProTo: Program-Guided Transformer for Program-Guided Tasks
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao
Karan Samel
Binghong Chen
Le Song
ViT
LM&Ro
55
30
0
02 Oct 2021
Found a Reason for me? Weakly-supervised Grounded Visual Question
  Answering using Capsules
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
Aisha Urooj Khan
Hilde Kuehne
Kevin Duarte
Chuang Gan
N. Lobo
M. Shah
50
36
0
11 May 2021
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual
  Question Answering
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
Weixin Liang
Yanhao Jiang
Zixuan Liu
GNN
56
32
0
20 Apr 2021
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in
  Visual Question Answering
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
OOD
46
142
0
18 Sep 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh
Hamid Palangi
Oleksandr Polozov
Yichen Huang
K. Koishida
NAI
LRM
79
60
0
20 Jun 2020
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?
Corentin Kervadec
G. Antipov
M. Baccouche
Christian Wolf
OOD
47
89
0
09 Jun 2020
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
43
35
0
12 Apr 2020
Meta Module Network for Compositional Visual Reasoning
Meta Module Network for Compositional Visual Reasoning
Wenhu Chen
Zhe Gan
Linjie Li
Yu Cheng
Wenjie Wang
Jingjing Liu
LRM
61
70
0
08 Oct 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State Machine
Drew A. Hudson
Christopher D. Manning
NAI
OCL
67
260
0
09 Jul 2019
Self-Critical Reasoning for Robust Visual Question Answering
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu
Raymond J. Mooney
OOD
NAI
71
161
0
24 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
74
173
0
10 May 2019
Relation-Aware Graph Attention Network for Visual Question Answering
Relation-Aware Graph Attention Network for Visual Question Answering
Linjie Li
Zhe Gan
Yu Cheng
Jingjing Liu
GNN
157
345
0
29 Mar 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language
  Models More Grounded
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
Ramprasaath R. Selvaraju
Stefan Lee
Yilin Shen
Hongxia Jin
Shalini Ghosh
Larry Heck
Dhruv Batra
Devi Parikh
FAtt
VLM
64
254
0
11 Feb 2019
Explainable and Explicit Visual Reasoning over Scene Graphs
Explainable and Explicit Visual Reasoning over Scene Graphs
Jiaxin Shi
Hanwang Zhang
Juan-Zi Li
OCL
190
234
0
05 Dec 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language
  Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
84
609
0
04 Oct 2018
Explainable Neural Computation via Stack Neural Module Networks
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu
Jacob Andreas
Trevor Darrell
Kate Saenko
LRM
OCL
76
199
0
23 Jul 2018
Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
114
207
0
14 Mar 2018
Compositional Attention Networks for Machine Reasoning
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson
Christopher D. Manning
BDL
OOD
LRM
193
577
0
08 Mar 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual
  Question Answering
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal
Dhruv Batra
Devi Parikh
Aniruddha Kembhavi
OOD
152
585
0
01 Dec 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
174
4,596
0
26 Oct 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
121
4,216
0
25 Jul 2017
Inferring and Executing Programs for Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Judy Hoffman
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
NAI
83
545
0
10 May 2017
Learning to Reason: End-to-End Module Networks for Visual Question
  Answering
Learning to Reason: End-to-End Module Networks for Visual Question Answering
Ronghang Hu
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Kate Saenko
KELM
GNN
ReLM
LRM
126
577
0
18 Apr 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
293
4,019
0
14 Apr 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
468
22,108
0
09 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
338
3,238
0
02 Dec 2016
Modeling Context in Referring Expressions
Modeling Context in Referring Expressions
Licheng Yu
Patrick Poirson
Shan Yang
Alexander C. Berg
Tamara L. Berg
129
1,263
0
31 Jul 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
215
5,747
0
23 Feb 2016
Modeling Coverage for Neural Machine Translation
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu
Zhengdong Lu
Yang Liu
Xiaohua Liu
Hang Li
92
748
0
19 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Stacked Attention Networks for Image Question Answering
Stacked Attention Networks for Image Question Answering
Zichao Yang
Xiaodong He
Jianfeng Gao
Li Deng
Alex Smola
BDL
107
1,882
0
07 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
502
62,294
0
04 Jun 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
202
5,478
0
03 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
Microsoft COCO: Common Objects in Context
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
413
43,667
0
01 May 2014
1