activity
20172023
most citedDeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling

117 citations · 816 across the 78 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

cs.RO2021

Pose2Room: Understanding 3D Scenes from Human Activities

Yinyu Nie, Angela Dai, Xiaoguang Han +1

With wearable IMU sensors, one can estimate human poses from wearable devices without requiring visual input~\cite{von2017sparse}. In this work, we pose the question: Can we reason…

cs.CL2021

NLP Research and Resources at DaSciM, Ecole Polytechnique

Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine +5

DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via meth…

cs.CV2021★ 5 cited

SketchHairSalon: Deep Sketch-based Hair Image Synthesis

Chufeng Xiao, Deng Yu, Xiaoguang Han +2

Recent deep generative models allow real-time generation of hair images from sketch inputs. Existing solutions often require a user-provided binary mask to specify a target hair sh…

cs.CV2021

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts

Hong-Yu Zhou, Chixiang Lu, Sibei Yang +2

Preserving maximal information is one of principles of designing self-supervised learning methodologies. To reach this goal, contrastive learning adopts an implicit way which is co…

cs.CV2021

SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design

Zhongjin Luo, Jie Zhou, Heming Zhu +3

Head shapes play an important role in 3D character design. In this work, we propose SimpModeling, a novel sketch-based system for helping users, especially amateur users, easily mo…

cs.CV2021★ 28 cited

ME-PCN: Point Completion Conditioned on Mask Emptiness

Bingchen Gong, Yinyu Nie, Yiqun Lin +2

Point completion refers to completing the missing geometries of an object from incomplete observations. Main-stream methods predict the missing shapes by decoding a global feature…

cs.CV2021

From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting

Mengcheng Lan, Shuliang Ning, Yanran Li +4

Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but complet…

cs.MM2021★ 111 cited

Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition

Xinda Liu, Lili Wang, Xiaoguang Han

Fine-grained image recognition is challenging because discriminative clues are usually fragmented, whether from a single image or multiple images. Despite their significant improve…

eess.IV2021

Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Wenting Jiang, Yicheng Jiang, Lu Zhang +5

Automatic segmentation of hepatocellular carcinoma (HCC) in Digital Subtraction Angiography (DSA) videos can assist radiologists in efficient diagnosis of HCC and accurate evaluati…

cs.CV2021★ 11 cited

Task-Aware Sampling Layer for Point-Wise Analysis

Yiqun Lin, Lichang Chen, Haibin Huang +3

Sampling, grouping, and aggregation are three important components in the multi-scale analysis of point clouds. In this paper, we present a novel data-driven sampler learning strat…

cs.CV2021★ 2 cited

Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images

Haolin Liu, Anran Lin, Xiaoguang Han +3

Grounding referring expressions in RGBD image has been an emerging field. We present a novel task of 3D visual grounding in single-view RGBD image where the referred objects are of…

cs.CV2021★ 2 cited

3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction

Yuda Qiu, Xiaojie Xu, Lingteng Qiu +4

Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm. However, reconstructing a 3D caricature…