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the Chinese University of Hong Kong
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15:17
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[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning (Awesome & Benchmark)
[ECCV2024] UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Virtual Sparse Convolution for Multimodal 3D Object Detection
Tools to Design or Visualize Architecture of Neural Network
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Simulation-based Lidar Super-resolution for Ground Vehicles
easy and simple way to train, export and deploy pointpillars for 3D detection
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
A Robust LiDAR-Inertial Odometry for Livox LiDAR