Search Results - Quanfu Fan

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  1. 1
    CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

    CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification by Chen, Chun-Fu Richard, Fan, Quanfu, Panda, Rameswar

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  2. 2
    Relative Attributes for Large-Scale Abandoned Object Detection

    Relative Attributes for Large-Scale Abandoned Object Detection by Quanfu Fan, Gabbur, Prasad, Pankanti, Sharath

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  3. 3
    Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos

    Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos by Quanfu Fan, Barnard, K., Amir, A., Efrat, A.

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  4. 4
    Robust abandoned object detection using region-level analysis

    Robust abandoned object detection using region-level analysis by Jiyan Pan, Quanfu Fan, Pankanti, Sharath

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  5. 5
    Moments in Time Dataset: One Million Videos for Event Understanding

    Moments in Time Dataset: One Million Videos for Event Understanding by Monfort, Mathew, Vondrick, Carl, Oliva, Aude, Andonian, Alex, Zhou, Bolei, Ramakrishnan, Kandan, Bargal, Sarah Adel, Yan, Tom, Brown, Lisa, Fan, Quanfu, Gutfreund, Dan

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  6. 6
    Hand tracking by binary quadratic programming and its application to retail activity recognition

    Hand tracking by binary quadratic programming and its application to retail activity recognition by Trinh, H., Quanfu Fan, Gabbur, P., Pankanti, S.

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  7. 7
    CryoRL : reinforcement learning enables efficient cryo-EM data collection

    CryoRL : reinforcement learning enables efficient cryo-EM data collection by Cianfrocco, Michael, Li, Yilai, Fan, Quanfu, Cohn, John, Vas, Seychelle

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  8. 8
    Detecting human activities in retail surveillance using hierarchical finite state machine

    Detecting human activities in retail surveillance using hierarchical finite state machine by Hoang Trinh, Quanfu Fan, Jiyan Pan, Gabbur, Prasad, Miyazawa, Sachiko, Pankanti, Sharath

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  9. 9
    Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding

    Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding by Monfort, Mathew, Pan, Bowen, Ramakrishnan, Kandan, Andonian, Alex, McNamara, Barry A., Lascelles, Alex, Fan, Quanfu, Gutfreund, Dan, Feris, Rogerio Schmidt, Oliva, Aude

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  10. 10
    Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves

    Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves by Efrat, Alon, Fan, Quanfu, Venkatasubramanian, Suresh

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  11. 11
    Reasoning About Human-Object Interactions Through Dual Attention Networks

    Reasoning About Human-Object Interactions Through Dual Attention Networks by Xiao, Tete, Fan, Quanfu, Gutfreund, Danny, Monfort, Mathew, Oliva, Aude, Zhou, Bolei

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  12. 12
    Multimodal ranking for non-compliance detection in retail surveillance

    Multimodal ranking for non-compliance detection in retail surveillance by Hoang Trinh, Pankanti, S., Quanfu Fan

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  13. 13
    CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection

    CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection by Fan, Quanfu, Li, Yilai, Yao, Yuguang, Cohn, John, Liu, Sijia, Xu, Ziping, Vos, Seychelle, Cianfrocco, Michael

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  14. 14
    Grafting Vision Transformers

    Grafting Vision Transformers by Park, Jongwoo, Kahatapitiya, Kumara, Kim, Donghyun, Sudalairaj, Shivchander, Fan, Quanfu, Ryoo, Michael S.

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  15. 15
    An integer programming approach to visual compliance

    An integer programming approach to visual compliance by Lei Ding, Quanfu Fan, Pankanti, S

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  16. 16
    AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

    AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition by Panda, Rameswar, Chen, Chun-Fu Richard, Fan, Quanfu, Sun, Ximeng, Saenko, Kate, Oliva, Aude, Feris, Rogerio

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  17. 17
    Reducing correspondence ambiguity in loosely labeled training data

    Reducing correspondence ambiguity in loosely labeled training data by Barnard, K., Quanfu Fan

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  18. 18
    Smart data collection for CryoEM

    Smart data collection for CryoEM by Bepler, Tristan, Borst, Andrew J., Bouvette, Jonathan, Cannone, Giuseppe, Chen, Songye, Cheng, Anchi, Cheng, Ao, Fan, Quanfu, Grollios, Fanis, Gupta, Harshit, Gupta, Meghna, Humphreys, Theo, Kim, Paul T., Kuang, Huihui, Li, Yilai, Noble, Alex J., Punjani, Ali, Rice, William J., Oscar S. Sorzano, Carlos, Stagg, Scott M., Strauss, Joshua, Yu, Lingbo, Carragher, Bridget, Potter, Clinton S.

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  19. 19
    Soft margin keyframe comparison: Enhancing precision of fraud detection in retail surveillance

    Soft margin keyframe comparison: Enhancing precision of fraud detection in retail surveillance by Jiyan Pan, Quanfu Fan, Pankanti, S, Hoang Trinh, Gabbur, P, Miyazawa, S

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  20. 20
    Detecting sweethearting in retail surveillance videos

    Detecting sweethearting in retail surveillance videos by Quanfu Fan, Yanagawa, A., Bobbitt, R., Yun Zhai, Kjeldsen, R., Pankanti, S., Hampapur, A.

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