85 citations · 245 across the 26 of their papers we have counts for
27 papers
Learning Dynamic Style Kernels for Artistic Style Transfer
Wenju Xu, Chengjiang Long, Yongwei Nie
Arbitrary style transfer has been demonstrated to be efficient in artistic image generation. Previous methods either globally modulate the content feature ignoring local details, o…
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Clinton Ansun Mo, Kun Hu, Chengjiang Long +1
Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often…
Explore Contextual Information for 3D Scene Graph Generation
Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang +4
3D scene graph generation (SGG) has been of high interest in computer vision. Although the accuracy of 3D SGG on coarse classification and single relation label has been gradually…
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
Lingwei Dang, Yongwei Nie, Chengjiang Long +2
Diverse human motion prediction aims at predicting multiple possible future pose sequences from a sequence of observed poses. Previous approaches usually employ deep generative net…
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
Xiao Lu, Yihong Cao, Sheng Liu +5
It is challenging to annotate large-scale datasets for supervised video shadow detection methods. Using a model trained on labeled images to the video frames directly may lead to h…
Social Interpretable Tree for Pedestrian Trajectory Prediction
Liushuai Shi, Le Wang, Chengjiang Long +4
Understanding the multiple socially-acceptable future behaviors is an essential task for many vision applications. In this paper, we propose a tree-based method, termed as Social I…