14 citations · 33 across the 9 of their papers we have counts for
6 papers · 1 filter
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving
Guoqing Wang, Zhongdao Wang, Pin Tang +4
Existing solutions for 3D semantic occupancy prediction typically treat the task as a one-shot 3D voxel-wise segmentation perception problem. These discriminative methods focus on…
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
Shengchao Zhou, Weizhou Liu, Chen Hu +2
In the field of 3D object detection for autonomous driving, the sensor portfolio including multi-modality and single-modality is diverse and complex. Since the multi-modal methods…
Pillar R-CNN for Point Cloud 3D Object Detection
Guangsheng Shi, Ruifeng Li, Chao Ma
The performance of point cloud 3D object detection hinges on effectively representing raw points, grid-based voxels or pillars. Recent two-stage 3D detectors typically take the poi…
Removing Rain Streaks via Task Transfer Learning
Yinglong Wang, Chao Ma, Jianzhuang Liu
Due to the difficulty in collecting paired real-world training data, image deraining is currently dominated by supervised learning with synthesized data generated by e.g., Photosho…
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
Ming Cheng, Yiling Xu, Wang Shen +4
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challe…
AiATrack: Attention in Attention for Transformer Visual Tracking
Shenyuan Gao, Chunluan Zhou, Chao Ma +2
Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the…