15 citations · 15 across the 6 of their papers we have counts for
6 papers
Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation
Xiaopei Wu, Yuenan Hou, Junkai Xu +7
Multi-modal fusion and multi-model ensembling are prevalent in enhancing the performance of 3D semantic segmentation. Despite the impressive performance, these methods either rely…
Toward Real-World High-Precision Image Matting and Segmentation
Haipeng Zhou, Zhaohu Xing, Hongqiu Wang +3
High-precision scene parsing tasks, including image matting and dichotomous segmentation, aim to accurately predict masks with extremely fine details (such as hair). Most existing…
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
Ping Li, Jianan Ni, Bo Pang
Action recognition models using deep learning are vulnerable to adversarial examples, which are transferable across other models trained on the same data modality. Existing transfe…
NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration
Haotian Dong, Xin Wang, Di Lin +6
High-quality video generation is crucial for many fields, including the film industry and autonomous driving. However, generating videos with spatiotemporal consistencies remains c…
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Haipeng Zhou, Honqiu Wang, Tian Ye +5
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence. Existing works suffer from inefficient temporal learning. Moreover, few works address the VSD prob…
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
Zhanwei Zhang, Minghao Chen, Shuai Xiao +7
Recent self-training techniques have shown notable improvements in unsupervised domain adaptation for 3D object detection (3D UDA). These techniques typically select pseudo labels,…