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09/10/2023
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition
Various types of sensors have been considered to develop human action re...
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04/03/2023
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
Autonomous driving requires an accurate and fast 3D perception system th...
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12/01/2022
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection
Most scanning LiDAR sensors generate a sequence of point clouds in real-...
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11/24/2022
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
Fusing data from cameras and LiDAR sensors is an essential technique to ...
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11/16/2022
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
Predicting the future motion of dynamic agents is of paramount importanc...
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10/29/2022
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
Recent advances in monocular 3D detection leverage a depth estimation ne...
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09/30/2022
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence
LiDAR sensors are widely used for 3D object detection in various mobile ...
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09/14/2022
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
Camera and radar sensors have significant advantages in cost, reliabilit...
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07/21/2022
Learning from Data with Noisy Labels Using Temporal Self-Ensemble
There are inevitably many mislabeled data in real-world datasets. Becaus...
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07/05/2022
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning
Modern deep learning has achieved great success in various fields. Howev...
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07/05/2022
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
There is a growing interest in the challenging visual perception task of...
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12/14/2021
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
In this paper, we propose a new joint object detection and tracking (JoD...
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04/01/2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
In this paper, we address the problem of predicting the future motion of...
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02/19/2021
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
In this paper, we propose a deep learning-based beam tracking method for...
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11/20/2020
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
In this paper, we propose a new video object detector (VoD) method refer...
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04/27/2020
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
In this paper, we propose a new deep architecture for fusing camera and ...
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09/16/2019
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems
Cell-free system where a group of base stations (BSs) cooperatively serv...
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08/01/2019
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
Convolutional neural network (CNN) has led to significant progress in ob...
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07/17/2018
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
The goal of multi-modal learning is to use complimentary information on ...
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04/21/2018
Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility
In this paper, we propose an efficient beam training technique for milli...
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02/18/2018
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
In this paper, we propose a deep learning-based vehicle trajectory predi...
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02/08/2017