311 citations · 407 across the 16 of their papers we have counts for
20 papers
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Ziyi Wang, Yongming Rao, Xumin Yu +2
Conventional point cloud semantic segmentation methods usually employ an encoder-decoder architecture, where mid-level features are locally aggregated to extract geometric informat…
A Roadmap for Big Model
Sha Yuan, Hanyu Zhao, Shuai Zhao +97
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
Jinglin Xu, Yongming Rao, Xumin Yu +3
Most existing action quality assessment methods rely on the deep features of an entire video to predict the score, which is less reliable due to the non-transparent inference proce…
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
Xiuwei Xu, Yifan Wang, Yu Zheng +3
In this paper, we propose a weakly-supervised approach for 3D object detection, which makes it possible to train a strong 3D detector with position-level annotations (i.e. annotati…
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu, Guangyi Chen, Junlong Li +4
Human behavior has the nature of indeterminacy, which requires the pedestrian trajectory prediction system to model the multi-modality of future motion states. Unlike existing stoc…
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Yi Wei, Shaohui Liu, Yongming Rao +3
In this work, we present a new multi-view depth estimation method that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radianc…