84 citations · 383 across the 16 of their papers we have counts for
6 papers · 1 filter
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
Peng Zhou, Lingxi Xie, Bingbing Ni +1
The style-based GAN (StyleGAN) architecture achieved state-of-the-art results for generating high-quality images, but it lacks explicit and precise control over camera poses. The r…
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs
Peng Zhou, Omar Zahra, Anqing Duan +3
Cloth folding is a widespread domestic task that is seemingly performed by humans but which is highly challenging for autonomous robots to execute due to the highly deformable natu…
Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
Rui Hong, Peng-Fei Zhou, Bin Xi +3
The hybridizations of machine learning and quantum physics have caused essential impacts to the methodology in both fields. Inspired by quantum potential neural network, we here pr…
Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions
Ying Lu, Yue-Min Li, Peng-Fei Zhou +1
State preparation is of fundamental importance in quantum physics, which can be realized by constructing the quantum circuit as a unitary that transforms the initial state to the t…
Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
Peng-Fei Zhou, Rui Hong, Shi-Ju Ran
Constructing quantum circuits for efficient state preparation belongs to the central topics in the field of quantum information and computation. As the number of qubits grows fast,…
Deep Video Inpainting Detection
Peng Zhou, Ning Yu, Zuxuan Wu +3
This paper studies video inpainting detection, which localizes an inpainted region in a video both spatially and temporally. In particular, we introduce VIDNet, Video Inpainting De…