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Found 10 papers, 2 papers with code
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
The upper layer is called Speed Planner, and is a centralized optimal control algorithm.
Cross-Modal Semi-Dense 6-DoF Tracking of an Event Camera in Challenging Conditions
Vision-based localization is a cost-effective and thus attractive solution for many intelligent mobile platforms.
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes
However, crucial decision issues related to security, fairness, and privacy should consider more human knowledge and principles to supervise such AI algorithms to reach more proper solutions and to benefit society more effectively.
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image Denoising
Based on the prior that, for each pixel, its similar pixels are usually spatially close, our insights are that (1) we partition the image into non-overlapped windows and perform regional self-attention to reduce the search range of each pixel, and (2) we encourage pixels across different windows to communicate with each other.
Passive Non-line-of-sight Imaging for Moving Targets with an Event Camera
Non-line-of-sight (NLOS) imaging is an emerging technique for detecting objects behind obstacles or around corners.
Learning Incrementally to Segment Multiple Organs in a CT Image
In each incremental learning (IL) stage, we lose the access to previous data and annotations, whose knowledge is assumingly captured by the current model, and gain the access to a new dataset with annotations of new organ categories, from which we learn to update the organ segmentation model to include the new organs.
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions
We present a novel real-time visual odometry framework for a stereo setup of a depth and high-resolution event camera.
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts.
Mixed-Stationary Gaussian Process for Flexible Non-Stationary Modeling of Spatial Outcomes
Different from a simple mixture of independent GPs, the mixture in stationarity allows the components to be spatial correlated, leading to improved prediction efficiency.
Functional Gaussian Process Model for Bayesian Nonparametric Analysis
Gaussian process is a theoretically appealing model for nonparametric analysis, but its computational cumbersomeness hinders its use in large scale and the existing reduced-rank solutions are usually heuristic.
