activity
20182021
most citedCIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

74 citations · 154 across the 7 of their papers we have counts for

collaborators

15 papers

cs.CV202174 cited

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…

cs.RO20211 cited

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…

quant-ph20211 cited

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…

quant-ph2021

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,…

cs.CV20219 cited

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…

cs.CL202057 cited

FastBERT: a Self-distilling BERT with Adaptive Inference Time

Weijie Liu, Peng Zhou, Zhe Zhao +3

Pre-trained language models like BERT have proven to be highly performant. However, they are often computationally expensive in many practical scenarios, for such heavy models can…