Automatic estimation of the number of people in unconstrained crowded scenes is a challenging
task and one major difficulty stems from the huge scale variation of people. In this paper…

Taxi demand prediction has recently attracted increasing research interest due to its huge
potential application in large-scale intelligent transportation systems. However, most of the …

Crowd counting is a fundamental yet challenging task, which desires rich information to
generate pixel-wise crowd density maps. However, most previous methods only used the limited …

… Lingbo Liu and Ru Wang conceived and designed the experiments; Zhenghong Peng and
… Wu and Ru Wang contributed analysis tools; Lingbo Liu and Ru Wang wrote the paper. All …

Fine-tuning visual models has been widely shown promising performance on many downstream
visual tasks. With the surprising development of pre-trained visual foundation models, …

Acute myeloid leukemia (AML) is a polyclonal and heterogeneous hematological malignancy.
Relapse and refractory after induction chemotherapy are still challenges for curing AML. …

Acute myeloid leukemia (AML) is an aggressive malignancy of myeloid hematopoietic cells,
which is characterized by the aberrant clonal proliferation of immature myeloblasts and …

Video self-supervised learning is a challenging task, which requires significant expressive
power from the model to leverage rich spatial-temporal knowledge and generate effective …

Ionizing radiation (IR) and/or chemotherapy causes not only acute tissue damage but also
late effects including long-term (or residual) bone marrow (BM) injury. The induction of …

Background The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
infected over 3300 healthcare workers in early 2020 in China. Little information is …