◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jingyu Wang

15 papers hereh-index 334.6k citations313 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13

Across the 13 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL3
  • cs.CV3
  • cs.IR2
  • cs.CR1
  • cs.GT1
same name
  • Jingyu Wang — 7 papers, h 5
  • Jingyu Wang — 4 papers, h 5
  • Jingyu Wang — 4 papers, h 8
  • Jingyu Wang — 3 papers, h 10
  • Jingyu Wang — 3 papers, h 2
  • Jingyu Wang — 3 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedAWR: Adaptive Weighting Regression for 3D Hand Pose Estimation

2 citations · 4 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image

Pengfei Ren, Chao Wen, Xiaozheng Zheng +5

Reconstructing interacting hands from a single RGB image is a very challenging task. On the one hand, severe mutual occlusion and similar local appearance between two hands confuse…

cs.CV2020

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

Xuanzhao Wang, Zhengping Che, Bo Jiang +6

Video anomaly detection is commonly used in many applications such as security surveillance and is very challenging.A majority of recent video anomaly detection approaches utilize…

cs.CV2020★ 2 cited

AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation

Weiting Huang, Pengfei Ren, Jingyu Wang +2

In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods. Hand joint coordinates are…

cs.CV2019

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks

Jiashi Li, Qi Qi, Jingyu Wang +4

Channel pruning can significantly accelerate and compress deep neural networks. Many channel pruning works utilize structured sparsity regularization to zero out all the weights in…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.