150 citations · 218 across the 4 of their papers we have counts for
4 papers
Real-Time Object Pose Estimation with Pose Interpreter Networks
Jimmy Wu, Bolei Zhou, Rebecca Russell +5
In this work, we introduce pose interpreter networks for 6-DoF object pose estimation. In contrast to other CNN-based approaches to pose estimation that require expensively annotat…
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
Jimmy Wu, Bolei Zhou, Diondra Peck +4
We propose DeepMiner, a framework to discover interpretable representations in deep neural networks and to build explanations for medical predictions. By probing convolutional neur…
Expert identification of visual primitives used by CNNs during mammogram classification
Jimmy Wu, Diondra Peck, Scott Hsieh +6
This work interprets the internal representations of deep neural networks trained for classification of diseased tissue in 2D mammograms. We propose an expert-in-the-loop interpret…
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
Jay M. Wong, Vincent Kee, Tiffany Le +10
Recent robotic manipulation competitions have highlighted that sophisticated robots still struggle to achieve fast and reliable perception of task-relevant objects in complex, real…