activity
20122023
most citedSkeleton-Aware Networks for Deep Motion Retargeting

203 citations · 1.5k across the 53 of their papers we have counts for

collaborators
Showing 2020Show all

11 papers · 1 filter

cs.CV2020★ 2 cited

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Siyan Dong, Qingnan Fan, He Wang +5

Localizing the camera in a known indoor environment is a key building block for scene mapping, robot navigation, AR, etc. Recent advances estimate the camera pose via optimization…

cs.LG2020★ 11 cited

Implicit Multidimensional Projection of Local Subspaces

Rongzheng Bian, Yumeng Xue, Liang Zhou +4

We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local…

cs.CV2020★ 108 cited

MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency

Mingyi Shi, Kfir Aberman, Andreas Aristidou +4

We introduce MotioNet, a deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video.While previous methods rely on either rigging or inve…

cs.CV2020★ 40 cited

DO-Conv: Depthwise Over-parameterized Convolutional Layer

Jinming Cao, Yangyan Li, Mingchao Sun +5

Convolutional layers are the core building blocks of Convolutional Neural Networks (CNNs). In this paper, we propose to augment a convolutional layer with an additional depthwise c…

cs.CV2020★ 1 cited

Towards a Neural Graphics Pipeline for Controllable Image Generation

Xuelin Chen, Daniel Cohen-Or, Baoquan Chen +1

In this paper, we leverage advances in neural networks towards forming a neural rendering for controllable image generation, and thereby bypassing the need for detailed modeling in…

cs.CV2020★ 45 cited

Generative 3D Part Assembly via Dynamic Graph Learning

Jialei Huang, Guanqi Zhan, Qingnan Fan +5

Autonomous part assembly is a challenging yet crucial task in 3D computer vision and robotics. Analogous to buying an IKEA furniture, given a set of 3D parts that can assemble a si…

cs.GR2020★ 174 cited

Unpaired Motion Style Transfer from Video to Animation

Kfir Aberman, Yijia Weng, Dani Lischinski +2

Transferring the motion style from one animation clip to another, while preserving the motion content of the latter, has been a long-standing problem in character animation. Most e…

cs.CV2020★ 203 cited

Skeleton-Aware Networks for Deep Motion Retargeting

Kfir Aberman, Peizhuo Li, Dani Lischinski +3

We introduce a novel deep learning framework for data-driven motion retargeting between skeletons, which may have different structure, yet corresponding to homeomorphic graphs. Imp…

cs.CV2020★ 2 cited

IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report

Qi She, Fan Feng, Qi Liu +33

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…

physics.med-ph2020★ 17 cited

Visual Data Analysis and Simulation Prediction for COVID-19

Baoquan Chen, Mingyi Shi, Xingyu Ni +7

The COVID-19 (formerly, 2019-nCoV) epidemic has become a global health emergency, as such, WHO declared PHEIC. China has taken the most hit since the outbreak of the virus, which c…

cs.CV2020★ 6 cited

Multimodal Shape Completion via Conditional Generative Adversarial Networks

Rundi Wu, Xuelin Chen, Yixin Zhuang +1

Several deep learning methods have been proposed for completing partial data from shape acquisition setups, i.e., filling the regions that were missing in the shape. These methods,…