… a human-driving vehicle trajectory prediction model in the crowded … trajectories were predicted
by the LSTM decoder. The … Toward safe and smart mobility: energy-aware deep learning …

… Decoder fusion rnn: Context and interaction aware decoders for trajectory prediction[C]//2021
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021: …

… to get a neural network to realize that it needs to memorize the just … of the RNN (LSTM or
GRU) based on the Encoder-Decoder model. … Each Decoder is also composed of six decoders. …

… We sampled the historical trajectories from memory to train … our implementation directly in
the future codec. However, our … that can be utilized to realize 6DoF interactions are introduced. …

… The last one is the DA-RNN [82] similar to this research. … We briefly go through the main
pipeline of the Bundle Fusion in … We also introduce a fixed number of decoded objects N. …

… for integrative approaches to realize this goal. Just as … decode architecture applied in a
sequential setting in which the core is also unrolled over time (potentially using a GRU or LSTM …

… HITL hybridaugmented intelligence can effectively realize the … interactive path (eg, repeated
iteration) to achieve the goal of cognition, according to the information required to interact …

… for accurate signal detection and decoding, especially in the … in the formation of a global
context aware key matrix, a critical … It is within this intricate inter play and seamless fusion of …

… In the codec part,a collaborative learning block was … fusion (DAF) mechanism was designed
to extract contextual … 比较,其中包括结合了卷积和LSTM网络的CCRN, 在CCRN 的基础上…

… sup⁃ port for surgical path simulation and surgical planning. The … The segmentation method
based on deep learning can realize … The decoder adopts a CNN architecture that applies 2D …