92 citations · 144 across the 8 of their papers we have counts for
8 papers · 1 filter
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
Yu Hong, Hang Dai, Yong Ding
Leveraging LiDAR-based detectors or real LiDAR point data to guide monocular 3D detection has brought significant improvement, e.g., Pseudo-LiDAR methods. However, the existing met…
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
Yi-Nan Chen, Hang Dai, Yong Ding
Pseudo-LiDAR 3D detectors have made remarkable progress in monocular 3D detection by enhancing the capability of perceiving depth with depth estimation networks, and using LiDAR-ba…
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images
Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen +1
Existing CNNs-based salient object detection (SOD) heavily depends on the large-scale pixel-level annotations, which is labor-intensive, time-consuming, and expensive. By contrast,…
Video Transformer for Deepfake Detection with Incremental Learning
Sohail A. Khan, Hang Dai
Face forgery by deepfake is widely spread over the internet and this raises severe societal concerns. In this paper, we propose a novel video transformer with incremental learning…
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
Jiale Li, Hang Dai, Ling Shao +1
In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Jiale Li, Hang Dai, Ling Shao +1
Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…