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A New Defense Against Adversarial Images: Turning a Weakness into a Strength.

, , , , and . NeurIPS, page 1633-1644. (2019)

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Diverse Sequential Subset Selection for Supervised Video Summarization., , , and . NIPS, page 2069-2077. (2014)An Empirical Study on Leveraging Scene Graphs for Visual Question Answering., , and . CoRR, (2019)Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets., , and . NAACL-HLT, page 431-441. Association for Computational Linguistics, (2018)Learning Answer Embeddings for Visual Question Answering., , and . CVPR, page 5428-5436. IEEE Computer Society, (2018)An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild., , , and . ECCV (2), volume 9906 of Lecture Notes in Computer Science, page 52-68. Springer, (2016)Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving., , , , , and . CVPR, page 8445-8453. Computer Vision Foundation / IEEE, (2019)A New Defense Against Adversarial Images: Turning a Weakness into a Strength., , , , and . NeurIPS, page 1633-1644. (2019)Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection., , and . Signal Processing, (2015)Facial age estimation based on label-sensitive learning and age-oriented regression., , and . Pattern Recognition, 46 (3): 628-641 (2013)Large-Margin Determinantal Point Processes., , , and . UAI, page 191-200. AUAI Press, (2015)