2 citations · 2 across the 5 of their papers we have counts for
6 papers
CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement
Zhihao Yang, Zhiyu Xiang, Peng Xu +5
V2X collaborative object detection features overcoming the limitations of single-vehicle systems by aggregating environmental features from multiple collaborative agents. However,…
MAGIC: Learning from Visibility Asymmetry for Unsupervised Stereo Matching
Peng Xu, Zhiyu Xiang, Tingming Bai +5
Learning disparity in occluded regions remains difficult for unsupervised stereo matching. Photometric supervision lacks valid target-view correspondences in these regions, while t…
CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection
Hanzhi Zhong, Zhiyu Xiang, Ruoyu Xu +6
4D radar has received significant attention in autonomous driving thanks to its robustness under adverse weathers. Due to the sparse points and noisy measurements of the 4D radar,…
MIDAS: Modeling Ground-Truth Distributions with Dark Knowledge for Domain Generalized Stereo Matching
Peng Xu, Zhiyu Xiang, Jingyun Fu +3
Despite the significant advances in domain generalized stereo matching, existing methods still exhibit domain-specific preferences when transferring from synthetic to real domains,…
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang +6
3D object detection is one of the fundamental perception tasks for autonomous vehicles. Fulfilling such a task with a 4D millimeter-wave radar is very attractive since the sensor i…
Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
Peng Xu, Zhiyu Xiang, Chenyu Qiao +2
Despite the great success of deep learning in stereo matching, recovering accurate disparity maps is still challenging. Currently, L1 and cross-entropy are the two most widely used…