ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1505.08082
  4. Cited By
Learning to count with deep object features

Learning to count with deep object features

29 May 2015
Santi Seguí
O. Pujol
Jordi Vitrià
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning to count with deep object features"

33 / 33 papers shown
Every Shot Counts: Using Exemplars for Repetition Counting in Videos
Every Shot Counts: Using Exemplars for Repetition Counting in Videos
Saptarshi Sinha
Alexandros Stergiou
Dima Damen
265
10
0
26 Mar 2024
Quantity Matters: Towards Assessing and Mitigating Number Hallucination
  in Large Vision-Language Models
Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models
Huixuan Zhang
Junzhe Zhang
Xiaojun Wan
MLLM
357
0
0
03 Mar 2024
Text encoders bottleneck compositionality in contrastive vision-language
  models
Text encoders bottleneck compositionality in contrastive vision-language modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Amita Kamath
Jack Hessel
Kai-Wei Chang
CoGeCLIPVLM
274
33
0
24 May 2023
Wheat Head Counting by Estimating a Density Map with Convolutional
  Neural Networks
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
Ziqiao Wang
90
3
0
19 Mar 2023
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
CMR3D: Contextualized Multi-Stage Refinement for 3D Object DetectionACM Multimedia Asia (MA), 2022
D. Gaddam
Jean Lahoud
Fahad Shahbaz Khan
Rao Muhammad Anwer
Hisham Cholakkal
3DPC
188
0
0
13 Sep 2022
Single Image Object Counting and Localizing using Active-Learning
Single Image Object Counting and Localizing using Active-Learning
Inbar Huberman-Spiegelglas
Raanan Fattal
120
2
0
16 Nov 2021
Multi-Class Multi-Instance Count Conditioned Adversarial Image
  Generation
Multi-Class Multi-Instance Count Conditioned Adversarial Image GenerationIEEE International Conference on Computer Vision (ICCV), 2021
Amrutha Saseendran
Kathrin Skubch
Margret Keuper
VLMGAN
129
2
0
31 Mar 2021
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning
R. Morelli
L. Clissa
M. Dalla
M. Luppi
L. Rinaldi
A. Zoccoli
189
4
0
24 Feb 2021
Seeing past words: Testing the cross-modal capabilities of pretrained
  V&L models on counting tasks
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
Letitia Parcalabescu
Albert Gatt
Anette Frank
Iacer Calixto
LRM
345
51
0
22 Dec 2020
Systematically designing better instance counting models on cell images
  with Neural Arithmetic Logic Units
Systematically designing better instance counting models on cell images with Neural Arithmetic Logic Units
Ashish Rana
Taranveer Singh
Harpreet Singh
Neeraj Kumar
P. Rana
174
0
0
14 Apr 2020
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Mukesh Kumar Vishal
Dipesh Tamboli
Abhijeet Patil
Rohit Saluja
B. Banerjee
...
Dhandapani Raju
Sudhir Kumar
R. Sahoo
V. Chinnusamy
J. Adinarayana
99
4
0
06 Apr 2020
Toward automatic comparison of visualization techniques: Application to
  graph visualization
Toward automatic comparison of visualization techniques: Application to graph visualizationVisual Informatics (VI), 2019
L. Giovannangeli
Romain Bourqui
R. Giot
D. Auber
GNN
273
26
0
21 Oct 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural
  Networks
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Florian Dubost
H. Adams
P. Yilmaz
Gerda Bortsova
Gijs van Tulder
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen de Bruijne
MedIm
176
47
0
05 Jun 2019
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
278
115
0
15 Mar 2019
Future semantic segmentation of time-lapsed videos with large temporal
  displacement
Future semantic segmentation of time-lapsed videos with large temporal displacement
Talha Ahmad Siddiqui
Samarth Bharadwaj
136
1
0
27 Dec 2018
Textually Enriched Neural Module Networks for Visual Question Answering
Textually Enriched Neural Module Networks for Visual Question Answering
Khyathi Chandu
Mary Arpita Pyreddy
Matthieu Felix
N. Joshi
128
6
0
23 Sep 2018
Neural Arithmetic Logic Units
Neural Arithmetic Logic Units
Andrew Trask
Felix Hill
Scott E. Reed
Jack W. Rae
Chris Dyer
Phil Blunsom
NAI
381
215
0
01 Aug 2018
Subitizing with Variational Autoencoders
Subitizing with Variational Autoencoders
Rijnder Wever
Tom F. H. Runia
VOSBDL
108
4
0
01 Aug 2018
Crowd Counting with Density Adaption Networks
Crowd Counting with Density Adaption Networks
Li Wang
Weiyuan Shao
Yao Lu
Hao Ye
Jian Pu
Yingbin Zheng
122
11
0
26 Jun 2018
Reliable counting of weakly labeled concepts by a single spiking neuron
  model
Reliable counting of weakly labeled concepts by a single spiking neuron model
Hannes Rapp
M. Nawrot
Merav Stern
104
1
0
19 May 2018
An Aggregated Multicolumn Dilated Convolution Network for
  Perspective-Free Counting
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting
Diptodip Deb
Jonathan Ventura
153
86
0
20 Apr 2018
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the
  Learning of Quantities from Vision
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision
Sandro Pezzelle
Ionut-Teodor Sorodoc
Raffaella Bernardi
121
9
0
13 Apr 2018
Improving Object Counting with Heatmap Regulation
Improving Object Counting with Heatmap Regulation
Shubhra Aich
Ian Stavness
128
35
0
14 Mar 2018
3D Regression Neural Network for the Quantification of Enlarged
  Perivascular Spaces in Brain MRI
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI
Florian Dubost
H. Adams
Gerda Bortsova
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen de Bruijne
116
60
0
16 Feb 2018
Interpretable Counting for Visual Question Answering
Interpretable Counting for Visual Question AnsweringInternational Conference on Learning Representations (ICLR), 2017
Alexander R. Trott
Caiming Xiong
R. Socher
233
74
0
23 Dec 2017
Classification vs. Regression in Supervised Learning for Single Channel
  Speaker Count Estimation
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation
Fabian-Robert Stöter
Soumitro Chakrabarty
B. Edler
Emanuel Habets
BDL
213
40
0
12 Dec 2017
Pay Attention to Those Sets! Learning Quantification from Images
Pay Attention to Those Sets! Learning Quantification from Images
Ionut-Teodor Sorodoc
Sandro Pezzelle
Aurélie Herbelot
Mariella Dimiccoli
Raffaella Bernardi
138
0
0
10 Apr 2017
Count-ception: Counting by Fully Convolutional Redundant Counting
Count-ception: Counting by Fully Convolutional Redundant Counting
Joseph Paul Cohen
G. Boucher
C. A. Glastonbury
Henry Z. Lo
Yoshua Bengio
160
170
0
25 Mar 2017
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers
  from Vision
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from VisionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2017
Sandro Pezzelle
Marco Marelli
Raffaella Bernardi
136
7
0
17 Feb 2017
Record Counting in Historical Handwritten Documents with Convolutional
  Neural Networks
Record Counting in Historical Handwritten Documents with Convolutional Neural Networks
Samuele Capobianco
S. Marinai
118
7
0
24 Oct 2016
A Large Contextual Dataset for Classification, Detection and Counting of
  Cars with Deep Learning
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk
G. Konjevod
W. Sakla
K. Boakye
297
373
0
14 Sep 2016
Counting Everyday Objects in Everyday Scenes
Counting Everyday Objects in Everyday Scenes
Prithvijit Chattopadhyay
Ramakrishna Vedantam
Ramprasaath R. Selvaraju
Dhruv Batra
Devi Parikh
175
164
0
12 Apr 2016
Learning to Point and Count
Learning to Point and Count
Jie Shao
Yi Xu
Xiangyang Xue
Zheng Zhang
194
4
0
08 Dec 2015
1
Page 1 of 1