3 citations · 3 across the 5 of their papers we have counts for
6 papers
Geometry-Aware Spatio-Temporal Context Modeling for 4D Occupancy Forecasting
Sitao Chen, Zhuangwei Zhuang, Hui Luo +2
4D occupancy forecasting models the spatio-temporal evolution of 3D scenes and is crucial for autonomous driving, especially for corner-case simulation. Existing methods often rely…
Semantic Occupancy Prediction with Dual Range-Voxel Representation
Sitao Chen, Zhuangwei Zhuang, Hui Luo +3
LiDAR-based 3D semantic occupancy prediction, which aims to provide accurate and comprehensive scene representation, is crucial for autonomous driving systems. As point clouds suff…
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
Shuhai Zhang, ZiHao Lian, Jiahao Yang +6
AI-generated videos have achieved near-perfect visual realism (e.g., Sora), urgently necessitating reliable detection mechanisms. However, detecting such videos faces significant c…
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation
Zhuangwei Zhuang, Ziyin Wang, Sitao Chen +3
3D semantic occupancy prediction, which seeks to provide accurate and comprehensive representations of environment scenes, is important to autonomous driving systems. For autonomou…
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
Lizhao Liu, Xinyu Sun, Tianhang Xiang +3
We study the task of extending the large language model (LLM) into a vision-language instruction-following model. This task is crucial but challenging since the LLM is trained on t…
Recurrent Affine Transformation for Text-to-image Synthesis
Senmao Ye, Fei Liu, Minkui Tan
Text-to-image synthesis aims to generate natural images conditioned on text descriptions. The main difficulty of this task lies in effectively fusing text information into the imag…