activity
20192022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 146 across the 8 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV20225 cited

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

Hao Yu, Ji Hou, Zheng Qin +5

Successful point cloud registration relies on accurate correspondences established upon powerful descriptors. However, existing neural descriptors either leverage a rotation-varian…

cs.CV20221 cited

Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN

Qiucheng Wu, Yifan Jiang, Junru Wu +5

The disentanglement of StyleGAN latent space has paved the way for realistic and controllable image editing, but does StyleGAN know anything about temporal motion, as it was only t…

cs.CV2020

Interpretable Visual Reasoning via Induced Symbolic Space

Zhonghao Wang, Kai Wang, Mo Yu +4

We study the problem of concept induction in visual reasoning, i.e., identifying concepts and their hierarchical relationships from question-answer pairs associated with images; an…

cs.CV2019

Video synthesis of human upper body with realistic face

Zhaoxiang Liu, Huan Hu, Zipeng Wang +3

This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the b…

cs.CV2019

A Realistic Face-to-Face Conversation System based on Deep Neural Networks

Zezhou Chen, Zhaoxiang Liu, Huan Hu +4

To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively…

cs.CV2019

Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System

Minjie Hua, Fuyuan Shi, Yibing Nan +3

This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans. The proposed system consists of a listening m…