Parikh, Devi
22 papers on CoChatORCID 0000-0002-3779-6706
Most cited papers
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications
Cited by 24,513
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CIDEr: Consensus-based image description evaluation
Vedantam, R., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques
Cited by 4,845
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VQA: Visual Question Answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 4,487
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Goyal, Y., Khot, T., Summers-Stay, D., Batra, D., & Parikh, D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 2,287
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ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Lu, J., Batra, D., Parikh, D., & Lee, S. (2019) · arXiv
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 2,109
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Habitat: A Platform for Embodied AI Research
Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization
Cited by 1,237
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Joint Unsupervised Learning of Deep Representations and Image Clusters
Yang, J., Parikh, D., & Batra, D. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Clustering Algorithms ResearchAdvanced Neural Network Applications
Cited by 879
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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Mostafazadeh, N., Chambers, N., He, X., Parikh, D., Batra, D., Vanderwende, L., Kohli, P., & Allen, J. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingNatural Language Processing Techniques
Cited by 598
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VQA: Visual Question Answering: www.visualqa.org
Agrawal, A., Lu, J., Antol, S., Mitchell, M., Zitnick, C. L., Parikh, D., & Batra, D. (2017) · International Journal of Computer Vision
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 570
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Goyal, Y., Khot, T., Agrawal, A., Summers-Stay, D., Batra, D., & Parikh, D. (2019) · International Journal of Computer Vision
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 487
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Visual Dialog
Das, A., Kottur, S., Gupta, K., Singh, A., Yadav, D., Moura, J. M. F., Parikh, D., & Batra, D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsSpeech and dialogue systems
Cited by 445
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Embodied Question Answering
Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., & Batra, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reinforcement Learning in RoboticsMultimodal Machine Learning Applications
Cited by 410
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Make-A-Video: Text-to-Video Generation without Text-Video Data
Singer, U., Polyak, A., Hayes, T., Yin, X., An, J., Zhang, S., Hu, Q., Yang, H., Ashual, O., Gafni, O., et al. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 395
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Deal or No Deal? End-to-End Learning of Negotiation Dialogues
Lewis, M., Yarats, D., Dauphin, Y., Parikh, D., & Batra, D. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsMulti-Agent Systems and Negotiation
Cited by 347
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Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D., & Taigman, Y. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 332
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Analyzing the Behavior of Visual Question Answering Models
Agrawal, A., Batra, D., & Parikh, D. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 297
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Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Majumdar, A., Shrivastava, A., Lee, S., Anderson, P., Parikh, D., & Batra, D. (2020) · Lecture Notes in Computer Science
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
Cited by 201
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SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
Gordon, D., Kadian, A., Parikh, D., Hoffman, J., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 57
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Chasing Ghosts: Instruction Following as Bayesian State Tracking
Anderson, P., Shrivastava, A., Parikh, D., Batra, D., & Lee, S. (2019) · arXiv
Reinforcement Learning in RoboticsMultimodal Machine Learning Applications
Cited by 55
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Embodied Amodal Recognition: Learning to Move to Perceive Objects
Yang, J., Ren, Z., Xu, M., Chen, X., Crandall, D., Parikh, D., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsRobot Manipulation and Learning
Cited by 48
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Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Dai, X., Hou, J., Ma, C.-Y., Tsai, S., Wang, J., Wang, R., Zhang, P., Vandenhende, S., Wang, X., Dubey, A., et al. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 36
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Visual Conceptual Blending with Large-scale Language and Vision Models
Ge, S., & Parikh, D. (2021) · arXiv
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 4
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