1. Brazil G, Yin X, Liu X (2017) Illuminating pedestrians via simultaneous detection and segmentation. In: Proceedings of the IEEE international conference on computer vision. IEEE, Washington DC, pp 4950–4959
2. Cai Z, Saberian M, Vasconcelos N (2015) Learning complexity-aware cascades for deep pedestrian detection. In: Proceedings of the IEEE international conference on computer vision. IEEE, Washington DC, pp 3361–3369
3. Cai Z, Fan Q, Feris RS, Vasconcelos N (2016) A unified multi-scale deep convolutional neural network for fast object detection. In: Leibe B, Matas J, Sebe N, Welling M (eds) European conference on computer vision. Springer, Cham, pp 354–370
4. Cai JW, Lee FF, Yang S, Lin CW, Chen HQ, Kotani KJ, Chen Q (2020) Pedestrian as points: an improved anchor-free method for center-based pedestrian detection. IEEE Access 8:179666–179677. https://doi.org/10.1109/ACCESS.2020.3027590
5. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition. IEEE, Washington DC, pp 886–893