3 citations · 9 across the 11 of their papers we have counts for
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cs.CV2023★ 3 cited
VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection
Sudip Dhakal, Dominic Carrillo, Deyuan Qu +3
In recent times, there has been a notable surge in multimodal approaches that decorates raw LiDAR point clouds with camera-derived features to improve object detection performance.…
cs.CV2023★ 3 cited
Facial Emotion Recognition using CNN in PyTorch
Deyuan Qu, Sudip Dhakal, Dominic Carrillo
In this project, we have implemented a model to recognize real-time facial emotions given the camera images. Current approaches would read all data and input it into their model, w…
cs.CV2023★ 1 cited
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles
Deyuan Qu, Qi Chen, Tianyu Bai +5
Cooperative perception for connected and automated vehicles is traditionally achieved through the fusion of feature maps from two or more vehicles. However, the absence of feature…