Search Results for author:
Found 7 papers, 2 papers with code
Visual Concepts and Compositional Voting
We use clustering algorithms to study the population activities of the features and extract a set of visual concepts which we show are visually tight and correspond to semantic parts of vehicles.
Deep Residual Learning for Instrument Segmentation in Robotic Surgery
Detection, tracking, and pose estimation of surgical instruments are crucial tasks for computer assistance during minimally invasive robotic surgery.
PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset
In this paper, we address the boundary detection task motivated by the ambiguities in current definition of edge detection.
Unsupervised learning of object semantic parts from internal states of CNNs by population encoding
We address the key question of how object part representations can be found from the internal states of CNNs that are trained for high-level tasks, such as object classification.
Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
When building vision systems that predict structured objects such as image segmentations or human poses, a crucial concern is performance under task-specific evaluation measures (e. g. Jaccard Index or Average Precision).
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
We show that the presence of bilateral symmetry in the 3-D shape is equivalent to a linear phase structure in the corresponding spherical harmonic coefficients, and provide algorithms for estimating the orientation of the symmetry plane.
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds
In this paper, we propose a way to select a robust neighborhood using the consensus of multiple rounds of k-NNs.
