Efficient Point Process Inference for Large-Scale Object Detection

By Trung T. Pham, Seyed Hamid Rezatofighi, Ian David Reid, Tat-Jun Chin. 2016

24 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. B. V. Kumar
2. Ian David Reid
3. Anthony R. Dick
4. Anton Milan
5. Seyed Hamid Rezatofighi
6. Andrew J. Davison
7. Andreas Geiger
8. Michael Kaess

In Computer Vision and Pattern Recognition

1. Ian David Reid
2. Anton Milan
3. Anthony R. Dick
4. Chunhua Shen
5. Seyed Hamid Rezatofighi
6. Luc Van Gool
7. Dacheng Tao
8. B. V. Kumar

Citations in the corpus

• DeepSetNet: Predicting Sets with Deep Neural Networks (2016, methodology): “To calculate MR, we concatenate all boxes resulted from our adaptive NMS approach and change the threshold over all scores from our predicted sets.”
• Drones count wildlife more accurately and precisely than humans (2017, background): “1c) and so the final detection results were obtained by suppressing redundant proposals via minimising an energy function (Pham et al. 2016; Supplementary Fig.”