526 citations · 709 across the 16 of their papers we have counts for
17 papers
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
ByeoungDo Kim, Seong Hyeon Park, Seokhwan Lee +5
In this paper, we address the problem of predicting the future motion of a dynamic agent (called a target agent) given its current and past states as well as the information on its…
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
Sun Hong Lim, Sunwoo Kim, Byonghyo Shim +1
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave (mmWave)communications. Beam tracking is employed for transmitting the known symbols using…
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
Junho Koh, Jaekyum Kim, Younji Shin +3
In this paper, we propose a new video object detector (VoD) method referred to as temporal feature aggregation and motion-aware VoD (TM-VoD), which produces a joint representation…
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
Jin Hyeok Yoo, Yecheol Kim, Jisong Kim +1
In this paper, we propose a new deep architecture for fusing camera and LiDAR sensors for 3D object detection. Because the camera and LiDAR sensor signals have different characteri…
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems
Seungnyun Kim, Jun Won Choi, Byonghyo Shim
Cell-free system where a group of base stations (BSs) cooperatively serves users has received much attention as a promising technology for the future wireless systems. In order to…
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
Jin Hyeok Yoo, Dongsuk Kum, Jun Won Choi
Convolutional neural network (CNN) has led to significant progress in object detection. In order to detect the objects in various sizes, the object detectors often exploit the hier…