CVPR Daily - Tuesday

priors to improve the above methods which achieve outstanding performances by utilizing unlabeled data. Pablo Arbelaez from Universidad de los Andes , gave a wonderful presentation on how to build fully autonomous surgical system to facilitate surgeons . Especially, he talked about the importance of combining both long-term (surgical phases and steps) and short-term (instrument type, localization and atomic actions in frames) understanding for improving holistic surgical scene understanding. The PSI-AVA dataset offers a great opportunity for future researchers to delve deeper into this direction. Mert Sabuncu from Cornell Tech is the last featured speaker for this session. His talk on “Neural Encoding Models” revealed great insights into the correlation between attention and eye gaze, which explains why visual attention plays a vital role in neural encoding. Further, Mert introduced his latest work on individualizing encoding models which suggest that neural encoding models need not be population-based, but can also be subject- specific. This finding can be quite useful for many clinical applications. In the final session, Oliver Taubmann from Siemens Healthineers delivered the first talk on “Vision in the CT Workflow” from the industrial perspective , where he emphasized the importance of deploying explainable models such as counterfactual-based decision models for increasing the meaningfulness, intuitiveness, and enhancing imaging quality, which is crucial for real-world CT workflow. 18 DAILY CVPR Workshop Tuesday