Search Results for author:
Found 10 papers, 2 papers with code
STREETS: A Novel Camera Network Dataset for Traffic Flow
In this paper, we introduce STREETS, a novel traffic flow dataset from publicly available web cameras in the suburbs of Chicago, IL.
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification
From this framework, we consider color-specific information of pill images as a guidance stream and devise an approach, namely "Color Guidance with Multi-stream intermediate fusion"(CG-IMIF) for solving CIL pill image classification task.
Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation
Our hybrid methods use solutions found by temporal planning to warm start CP, leveraging the ability of the former to find satisficing solutions to problems with a high degree of task optionality, an area that CP typically struggles with.
Compiling quantum circuits to realistic hardware architectures using temporal planners
We investigate the application of temporal planners to the problem of compiling quantum circuits to newly emerging quantum hardware.
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models
However, it has been largely overlooked in the problem of recognition in new unseen domains.
Synthesizing Robust Plans under Incomplete Domain Models
In this paper, we first introduce annotations expressing the knowledge of the domain incompleteness and formalize the notion of plan robustness with respect to an incomplete domain model.
Probabilistic Low-Rank Subspace Clustering
In this paper, we consider the problem of clustering data points into low-dimensional subspaces in the presence of outliers.
Direct Photometric Alignment by Mesh Deformation
The choice of motion models is vital in applications like image/video stitching and video stabilization.
Planning for Compilation of a Quantum Algorithm for Graph Coloring
Previous work demonstrated that temporal planning is an attractive approach for part of this compilationtask, specifically, the routing of circuits that implement the Quantum Alternating Operator Ansatz (QAOA) applied to the MaxCut problem on a quantum processor architecture.
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
We also distinguish and expound on many related but inconsistently used terms in the literature, such as transfer learning, domain adaptation, representation learning, sensor fusion, and multimodal learning, and describe how cross-modal learning fits with all these concepts.
