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Title: - A Novel Hybrid Deep Learning Approach based Xiaozhi Chen; Huimin Ma; Ji Wan; Bo Li; Tian Xia This paper aims at high-accuracy In this video, we discuss about the paper "DeepFusion: Lidar-Camera Deep Fusion for Authors: Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani Description:
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3D-Net: Monocular 3D object recognition for traffic monitoring
UniDet3D: Multi-dataset Indoor 3D Object Detection
CFTrack: Center-based Radar and Camera Fusion for 3D Multi Object Tracking : Ramin Nabati
Understanding and Processing Point Clouds | Deep Learning for 3D Object Detection, Part 1
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
3D Object Tracker - Multiple Objects Demo
Batch3DMOT: 3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
DirectTracker: 3D Multi-Object Tracking using Image Alignment and Photometric Bundle Adjustment
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Last Updated: June 11, 2026
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