2 citations · 4 across the 4 of their papers we have counts for
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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…
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
Zhijun Zhai, Jianhui Zhao, Chengjiang Long +3
Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be forged nor suppressed. They are very important nonverbal communication clues, but are trans…
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…
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…