Ramakrishna Vedantam
Ramakrishna Vedantam
Research Scientist, Facebook AI Research
Verified email at fb.com - Homepage
TitleCited byYear
Grad-CAM: Why did you say that?
RR Selvaraju, A Das, R Vedantam, M Cogswell, D Parikh, D Batra
IEEE International Conference on Computer Vision (ICCV), 2017, 2016
1511*2016
CIDEr: Consensus-based Image Description Evaluation
R Vedantam, CL Zitnick, D Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 2014
10232014
Microsoft coco captions: Data collection and evaluation server
X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick
arXiv preprint arXiv:1504.00325, 2015
5502015
Adopting abstract images for semantic scene understanding
CL Zitnick, R Vedantam, D Parikh
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
642014
Context-aware captions from context-agnostic supervision
R Vedantam, S Bengio, K Murphy, D Parikh, G Chechik
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
622017
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
S Kottur, R Vedantam, JMF Moura, D Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 2015
602015
Learning Common Sense Through Visual Abstraction
R Vedantam, X Lin, T Batra, CL Zitnick, D Parikh
IEEE International Conference on Computer Vision (ICCV), 2015, 2015
552015
Counting Everyday Objects in Everyday Scenes
P Chattopadhyay, R Vedantam, RS Ramprasaath, D Batra, D Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2016
512016
Generative Models of Visually Grounded Imagination
R Vedantam, I Fischer, J Huang, K Murphy
International Conference on Learning Representations (ICLR), 2018, 2018
452018
Sound-word2vec: Learning word representations grounded in sounds
AK Vijayakumar, R Vedantam, D Parikh
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017, 2017
102017
Probabilistic neural-symbolic models for interpretable visual question answering
R Vedantam, K Desai, S Lee, M Rohrbach, D Batra, D Parikh
arXiv preprint arXiv:1902.07864, 2019
82019
Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning
N Modhe, P Chattopadhyay, M Sharma, A Das, D Parikh, D Batra, ...
arXiv preprint arXiv:1907.10580, 2019
2019
DS-VIC: UNSUPERVISED DISCOVERY OF DECISION STATES FOR TRANSFER IN RL
N Modhe, P Chattopadhyay, M Sharma, A Das, D Parikh, D Batra, ...
UNSUPERVISED DISCOVERY OF DECISION STATES THROUGH INTRINSIC CONTROL
N Modhe, M Sharma, P Chattopadhyay, A Das, D Parikh, D Batra, ...
The system can't perform the operation now. Try again later.
Articles 1–14