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HUANG Hailong

2 accepted papers

2024

TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance

ECCV 2024poster

"In autonomous simulation and surveillance, realistic scenarios are crucial for advancing object detection algorithms. Existing aerial datasets suffer from sample class imbalance, especially in larger vehicles like trucks, and unrealistic lighting conditions. This hampers progress in driving behavio…

Cited by 1SourcePDFScholar
2021

Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup

EMNLP 2021main

Mixup is a recent regularizer for current deep classification networks. Through training a neural network on convex combinations of pairs of examples and their labels, it imposes locally linear constraints on the model’s input space. However, such strict linear constraints often lead to under-fittin…