All Outputs (3)

Visual Attention Assisted Games (2023)
Conference Proceeding
Mandal, B., Puhan, N. B., & Homi Anil, V. (2023). Visual Attention Assisted Games. In 2023 IEEE Conference on Games (CoG). https://doi.org/10.1109/cog57401.2023.10333186

In this work, we propose a committee of attention models developed for improving the deep reinforcement learning frequently used for games. The game environment is manifested with spatial and temporal attention mechanisms so as to focus on important... Read More about Visual Attention Assisted Games.

Optimization and Performance Evaluation of Hybrid Deep Learning Models for Traffic Flow Prediction (2023)
Conference Proceeding
Goparaju, S. U., Biju, R., M, P., MC, B., Gangadharan, D., Mandal, B., & C, P. (2023). Optimization and Performance Evaluation of Hybrid Deep Learning Models for Traffic Flow Prediction. . https://doi.org/10.1109/vtc2023-spring57618.2023.10200600

Traffic flow prediction has been regarded as a critical problem in intelligent transportation systems. An accurate prediction can help mitigate congestion and other societal problems while facilitating safer, cost and time-efficient travel. However,... Read More about Optimization and Performance Evaluation of Hybrid Deep Learning Models for Traffic Flow Prediction.

Deep Neural Network Based Attention Model for Structural Component Recognition (2023)
Conference Proceeding
Sarangi, S., & Mandal, B. (2023). Deep Neural Network Based Attention Model for Structural Component Recognition. . https://doi.org/10.5220/0011688400003417

The recognition of structural components from images/videos is a highly complex task because of the appearance of huge components and their extended existence alongside, which are relatively small components. The latter is frequently overestimated or... Read More about Deep Neural Network Based Attention Model for Structural Component Recognition.