Seuraa
Michael Cogswell
Michael Cogswell
Vahvistettu sähköpostiosoite verkkotunnuksessa sri.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Grad-cam: Visual explanations from deep networks via gradient-based localization
RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra
Proceedings of the IEEE international conference on computer vision, 618-626, 2017
88382017
Reducing overfitting in deep networks by decorrelating representations
M Cogswell, F Ahmed, R Girshick, L Zitnick, D Batra
arXiv preprint arXiv:1511.06068, 2015
3422015
Diverse beam search: Decoding diverse solutions from neural sequence models
AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ...
arXiv preprint arXiv:1610.02424, 2016
2812016
Why m heads are better than one: Training a diverse ensemble of deep networks
S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra
arXiv preprint arXiv:1511.06314, 2015
1922015
Stochastic multiple choice learning for training diverse deep ensembles
S Lee, S Purushwalkam Shiva Prakash, M Cogswell, V Ranjan, ...
Advances in Neural Information Processing Systems 29, 2016
1452016
Diverse beam search for improved description of complex scenes
A Vijayakumar, M Cogswell, R Selvaraju, Q Sun, S Lee, D Crandall, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1222018
Proceedings of the IEEE international conference on computer vision
RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra
IEEE, 2017
602017
Emergence of compositional language with deep generational transmission
M Cogswell, J Lu, S Lee, D Parikh, D Batra
arXiv preprint arXiv:1904.09067, 2019
392019
Running students' software tests against each others' code: new life for an old" gimmick"
SH Edwards, Z Shams, M Cogswell, RC Senkbeil
Proceedings of the 43rd ACM technical symposium on Computer Science …, 2012
392012
Combining the best of graphical models and convnets for semantic segmentation
M Cogswell, X Lin, S Purushwalkam, D Batra
arXiv preprint arXiv:1412.4313, 2014
212014
Grad-CAM: visual explanations from deep networks via gradient-based localization. 2016
RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, D Batra
arXiv preprint arXiv:1610.02391, 2016
20*2016
Dialog without dialog data: Learning visual dialog agents from vqa data
M Cogswell, J Lu, R Jain, S Lee, D Parikh, D Batra
Advances in Neural Information Processing Systems 33, 19988-19999, 2020
42020
Improving users' mental model with attention‐directed counterfactual edits
K Alipour, A Ray, X Lin, M Cogswell, JP Schulze, Y Yao, GT Burachas
Applied AI Letters, e47, 2021
22021
Abhishek Das
A Das, S Kottur, JMF Moura, S Lee, D Batra, V Dialog, K Gupta, A Singh, ...
22011
Comprehension Based Question Answering using Bloom's Taxonomy
P Sahu, M Cogswell, S Rutherford-Quach, A Divakaran
arXiv preprint arXiv:2106.04653, 2021
12021
Generating and evaluating explanations of attended and error‐inducing input regions for VQA models
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
Applied AI Letters, 2021
12021
Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness
A Ray, M Cogswell, X Lin, K Alipour, A Divakaran, Y Yao, G Burachas
arXiv e-prints, arXiv: 2103.14712, 2021
12021
Understanding Representations and Reducing their Redundancy in Deep Networks
MA Cogswell
Virginia Tech, 2016
12016
Semantic segmentation with deep learning
M Cogswell, D Batra
Scene Understanding Workshop (SUNw) on CVPR, 2014
12014
SYSTEM AND METHOD FOR CONTENT COMPREHENSION AND RESPONSE
A Divakaran, K Sikka, Y Yao, Y Gong, S Nunn, P Sahu, MA Cogswell, ...
US Patent App. 17/516,409, 2022
2022
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Artikkelit 1–20