11 citations · 11 across the 2 of their papers we have counts for
4 papers
Blending Anti-Aliasing into Vision Transformer
Shengju Qian, Hao Shao, Yi Zhu +2
The transformer architectures, based on self-attention mechanism and convolution-free design, recently found superior performance and booming applications in computer vision. Howev…
Temporal Interlacing Network
Hao Shao, Shengju Qian, Yu Liu
For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the…
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian, Kwan-Yee Lin, Wayne Wu +5
Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack…
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
Shengju Qian, Keqiang Sun, Wayne Wu +2
Facial landmark detection, or face alignment, is a fundamental task that has been extensively studied. In this paper, we investigate a new perspective of facial landmark detection…