Kandan Ramakrishnan
机构: Baylor College of medicine
每年引用次数
引用次数
引用: 964
H-指数: 10
I10-指数 : 11
出版物: 244
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence.
Radoslaw Martin Cichy , Gemma Roig , Kandan Ramakrishnan , Aude Oliva
arXiv: Computer Vision and Pattern Recognition
35
2019
Examining Interpretable Feature Relationships in Deep Networks for Action recognition
Rogerio Feris , Kandan Ramakrishnan , Mathew Monfort , Aude Oliva
2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
Mathew Monfort , Bowen Pan , Kandan Ramakrishnan , Alex Andonian
arXiv: Computer Vision and Pattern Recognition
42
2019
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition.
Rogério Feris , Chun-Fu Chen , Quanfu Fan , Kandan Ramakrishnan
arXiv: Computer Vision and Pattern Recognition
58
2020
Visual pathways from the perspective of cost functions and multi-task deep neural networks.
H. Steven Scholte , Max M. Losch , Kandan Ramakrishnan , Edward H.F. de Haan
Cortex 98 249 -261
22
2018
Characterizing the temporal dynamics of object recognition by deep neural networks : role of depth
Kandan Ramakrishnan , Iris I.A. Groen , Arnold W.M. Smeulders , H. Steven Scholte
bioRxiv 178541
2
2017
Visual dictionaries as intermediate features in the human brain
Kandan Ramakrishnan , H. Steven Scholte , Iris I. A. Groen , Arnold W. M. Smeulders
Frontiers in Computational Neuroscience 8 ( 168) 168 -168
13
2015
Visual dictionaries in the Brain: Comparing HMAX and BOW
Kandan Ramakrishnan , Iris I. A. Groen , H. Steven Scholte , Arnold W. M. Smeulders
international conference on multimedia and expo 1 -6
2
2014
Learning Domain-Specific Feature Descriptors for Document Images
Kandan Ramakrishnan , Evgeniy Bart
document analysis systems 415 -418
2
2012
Convolutional Neural Networks in the Brain: an fMRI study
Kandan Ramakrishnan , Steven Scholte , Victor Lamme , Arnold Smeulders
Journal of Vision 15 ( 12) 371 -371
7
2015
Moments in Time Dataset: One Million Videos for Event Understanding
Mathew Monfort , Carl Vondrick , Aude Oliva , Alex Andonian
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 ( 2) 502 -508
437
2020
Examining Class Dependant Sub-Paths in Deep Neural Networks
Mathew Monfort , Kandan Ramakrishnan , Alex Andonian , Aude Oliva
Journal of Vision 19 ( 10)
2019
A Large Scale Video Dataset for Event Recognition
Mathew Monfort , Bolei Zhou , Sarah Bargal , Alex Andonian
Journal of Vision 18 ( 10) 753 -753
2018
Feature representations in networks trained with image sets of animate, inanimate or scenes differ in terms of computational filters but not in location in the brain
Max Losch , Noor Seijdel , Kandan Ramakrishnan , Cees Snoek
Journal of Vision 16 ( 12) 175 -175
2016
Overlap in performance of CNN's, human behavior and EEG classification
Noor Seijdel , Kandan Ramakrishnan , Max Losch , Steven Scholte
Journal of Vision 16 ( 12) 501 -501
3
2016
Mapping human visual representations by deep neural networks
Kandan Ramakrishnan , H. Steven Scholte , Arnold Smeulders , Sennay Ghebreab
Journal of Vision 16 ( 12) 373 -373
2
2016
What is unique in computational models of object recognition
Kandan Ramakrishnan , H.Steven Scholte , Sennay Ghebreab
Journal of Vision 16 ( 12) 757 -757
2016
CNNs trained on places and animacy explain different patterns of variance for the same dataset.
H.Steven Scholte , Max Losch , Noor Seijdel , Kandan Ramakrishnan
Journal of Vision 16 ( 12) 758 -758
2016
A cognitively-aligned representational space for DNNs
Kandan Ramakrishnan , Yalda Mohsenzadeh , Mathew Monfort , Aude Oliva
Journal of Vision 19 ( 10) 61 -61
2019
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors
Kandan Ramakrishnan , Rameswar Panda , Quanfu Fan , John Henning
computer vision and pattern recognition 250 -251
1
2020