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	Paper 2: Collaborative Learning with Pseudo Labels for Robust Classification, Samsung, South Korea (Humphrey Shi) View
	Paper 3: Addressing NN Robustness with Mixup and Targeted Labeling Adversarial Training, Atos France (Humphrey Shi) View
	Paper 6: Self-Supervised Attribute-Aware Refinement Net for Low-Quality Text Recog, GISTu0026KCTI, Korea (Humphrey Shi) View
	Paper 7: Two-stage Training for Improved CLS of Poorly Localized Obj. Images, Object Video Labs, USA (Humphrey Shi) View
	Paper 10: The Impact of Real Rain in a Vision Task, IME u0026 Universidade de S˜ao Paulo (USP), Brasil (Humphrey Shi) View
	Paper 8: Face Mask Invariant End-to-End Face Recognition, Verihubs, Indonesia (Humphrey Shi) View
	Paper 5: Challenges from Fast Camera Motion u0026 Image Blur: Dataset and Evaluation,HDUu0026 Tsinghua,China (Humphrey Shi) View
	Paper 4: What does CNN Shift Invariance Look Like A Visualization Study, Columbia u0026 UT Austin, USA (Humphrey Shi) View
	Paper 9: Visible Feature Guidance for Crowd Pedestrian Detection, Aibee Inc. China (Humphrey Shi) View
	Paper 1: Reinforcement Learning for Improving Object Detection, IIT Madras, India (Humphrey Shi) View