1.2k citations · 3.7k across the 70 of their papers we have counts for
13 papers · 1 filter
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
Tianyu Wang, Xiaowei Hu, Zhengzhe Liu +1
LiDAR-produced point clouds are the major source for most state-of-the-art 3D object detectors. Yet, small, distant, and incomplete objects with sparse or few points are often hard…
Video Instance Shadow Detection Under the Sun and Sky
Zhenghao Xing, Tianyu Wang, Xiaowei Hu +3
Instance shadow detection, crucial for applications such as photo editing and light direction estimation, has undergone significant advancements in predicting shadow instances, obj…
Learning Reconstructability for Drone Aerial Path Planning
Yilin Liu, Liqiang Lin, Yue Hu +4
We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu +1
This paper presents a new approach for 3D shape generation, enabling direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose…
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds
Wu Zheng, Li Jiang, Fanbin Lu +2
To boost a detector for single-frame 3D object detection, we present a new approach to train it to simulate features and responses following a detector trained on multi-frame point…
Instance Shadow Detection with A Single-Stage Detector
Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng +1
This paper formulates a new problem, instance shadow detection, which aims to detect shadow instance and the associated object instance that cast each shadow in the input image. To…