His general research interest lies in probabilistic methods for general perception tasks in computer vision. His recent research involves:

    Fast NAS: computation-friendly neural architecture search (NAS) with reinforcement learning for segmentation, detection and low-level tasks.
    BlendMask: a general instance segmentation framework which is both faster and more efficient than Mask-RCNN.
    AdelaiDet: a collection of recent projects dealing with different instance-level tasks.