Extensive experiments with 2HDED:NET on these benchmarks have demonstrated superior or close performances to those of the state-of-the-art models for depth estimation and image deblurring.
Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame.
This module takes advantage of geometrical features in the long-term for the first time in the video object detection domain.
Ranked #1 on Video Object Detection on USC-GRAD-STDdb
Then, we aggregate RoI pooled deep features through the tubelet using a temporal pooling operator that summarizes the information with a fixed size output independent of the number of input frames.
We present a novel approach for motion planning in mobile robotics under sensing and motion uncertainty based on state lattices with graduated fidelity.
Experiments have validated that WoMine can find all types of patterns, extracting information that cannot be mined with the state of the art techniques.
In this paper we present a hybrid approach for automatic composition of Web services that generates semantic input-output based compositions with optimal end-to-end QoS, minimizing the number of services of the resulting composition.
In this paper we present a theoretical analysis of graph-based service composition in terms of its dependency with service discovery.