Search Results - Selvaraju, Ramprasaath

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  1. 1
    Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

    Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization by Selvaraju, Ramprasaath R., Cogswell, Michael, Das, Abhishek, Vedantam, Ramakrishna, Parikh, Devi, Batra, Dhruv

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  2. 2
    Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

    Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded by Selvaraju, Ramprasaath Ramasamy, Lee, Stefan, Shen, Yilin, Jin, Hongxia, Ghosh, Shalini, Heck, Larry, Batra, Dhruv, Parikh, Devi

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  3. 3
    Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

    Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization by Selvaraju, Ramprasaath R., Cogswell, Michael, Das, Abhishek, Vedantam, Ramakrishna, Parikh, Devi, Batra, Dhruv

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  4. 4
    PreViTS: Contrastive Pretraining with Video Tracking Supervision

    PreViTS: Contrastive Pretraining with Video Tracking Supervision by Chen, Brian, Selvaraju, Ramprasaath R., Chang, Shih-Fu, Niebles, Juan Carlos, Naik, Nikhil

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  5. 5
    SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions

    SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions by Selvaraju, Ramprasaath R., Tendulkar, Purva, Parikh, Devi, Horvitz, Eric, Tulio Ribeiro, Marco, Nushi, Besmira, Kamar, Ece

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  6. 6
    Reframing explanation as an interactive medium: The EQUAS (Explainable QUestion Answering System) project

    Reframing explanation as an interactive medium: The EQUAS (Explainable QUestion Answering System) project by Ferguson, William, Batra, Dhruv, Mooney, Raymond, Parikh, Devi, Torralba, Antonio, Bau, David, Diller, David, Fasching, Josh, Fiotto‐Kaufman, Jaden, Goyal, Yash, Miller, Jeff, Moffitt, Kerry, Montes de Oca, Alex, Selvaraju, Ramprasaath R., Shrivastava, Ayush, Wu, Jialin, Lee, Stefan

    Published in Applied AI letters
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  7. 7
    Diverse Beam Search for Improved Description of Complex Scenes

    Diverse Beam Search for Improved Description of Complex Scenes by Vijayakumar, Ashwin, Cogswell, Michael, Selvaraju, Ramprasaath, Sun, Qing, Lee, Stefan, Crandall, David, Batra, Dhruv

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  8. 8
    Can domain adaptation make object recognition work for everyone?

    Can domain adaptation make object recognition work for everyone? by Prabhu, Viraj, Selvaraju, Ramprasaath R., Hoffman, Judy, Naik, Nikhil

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  9. 9
    CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision

    CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision by Shrivastava, Aman, Selvaraju, Ramprasaath R, Naik, Nikhil, Ordonez, Vicente

    Published in arXiv.org
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  10. 10
    Can domain adaptation make object recognition work for everyone?

    Can domain adaptation make object recognition work for everyone? by Prabhu, Viraj, Selvaraju, Ramprasaath R, Hoffman, Judy, Naik, Nikhil

    Published in arXiv.org
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  11. 11
    Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

    Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization by Selvaraju, Ramprasaath R, Cogswell, Michael, Das, Abhishek, Vedantam, Ramakrishna, Parikh, Devi, Batra, Dhruv

    Published in arXiv.org
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  12. 12
    PreViTS: Contrastive Pretraining with Video Tracking Supervision

    PreViTS: Contrastive Pretraining with Video Tracking Supervision by Chen, Brian, Selvaraju, Ramprasaath R, Shih-Fu, Chang, Niebles, Juan Carlos, Naik, Nikhil

    Published in arXiv.org
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  13. 13
    CASTing Your Model: Learning to Localize Improves Self-Supervised Representations

    CASTing Your Model: Learning to Localize Improves Self-Supervised Representations by Selvaraju, Ramprasaath R, Desai, Karan, Johnson, Justin, Naik, Nikhil

    Published in arXiv.org
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  14. 14
    TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation

    TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation by Wang, Jun, Gao, Mingfei, Hu, Yuqian, Selvaraju, Ramprasaath R, Ramaiah, Chetan, Xu, Ran, JaJa, Joseph F, Davis, Larry S

    Published in arXiv.org
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  15. 15
    Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

    Align before Fuse: Vision and Language Representation Learning with Momentum Distillation by Li, Junnan, Selvaraju, Ramprasaath R, Akhilesh Deepak Gotmare, Joty, Shafiq, Xiong, Caiming, Hoi, Steven

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  16. 16
    SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency

    SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency by Dharur, Sameer, Tendulkar, Purva, Batra, Dhruv, Parikh, Devi, Selvaraju, Ramprasaath R

    Published in arXiv.org
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  17. 17
    SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions

    SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions by Selvaraju, Ramprasaath R, Tendulkar, Purva, Parikh, Devi, Horvitz, Eric, Ribeiro, Marco, Nushi, Besmira, Kamar, Ece

    Published in arXiv.org
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  18. 18
    Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

    Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded by Selvaraju, Ramprasaath R, Lee, Stefan, Shen, Yilin, Jin, Hongxia, Ghosh, Shalini, Heck, Larry, Batra, Dhruv, Parikh, Devi

    Published in arXiv.org
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  19. 19
    Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

    Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance by Selvaraju, Ramprasaath R, Chattopadhyay, Prithvijit, Elhoseiny, Mohamed, Sharma, Tilak, Batra, Dhruv, Parikh, Devi, Lee, Stefan

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  20. 20
    Counting Everyday Objects in Everyday Scenes

    Counting Everyday Objects in Everyday Scenes by Chattopadhyay, Prithvijit, Vedantam, Ramakrishna, Selvaraju, Ramprasaath R, Batra, Dhruv, Parikh, Devi

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