◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shijie Wang

6 papers hereh-index 15786 citations33 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • nucl-th2
same name
  • Shijie Wang — 12 papers, h 9
  • Shijie Wang — 11 papers, h 2
  • Shijie Wang — 10 papers, h 5
  • Shijie Wang — 9 papers, h 7
  • Shijie Wang — 8 papers, h 6
  • Shijie Wang — 7 papers, h 1

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
20202024
most citedA New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing

129 citations · 168 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving

JunDa Cheng, Wei Yin, Kaixuan Wang +3

Multi-view depth estimation has achieved impressive performance over various benchmarks. However, almost all current multi-view systems rely on given ideal camera poses, which are…

cs.CV2023★ 36 cited

Visual Tuning

Bruce X. B. Yu, Jianlong Chang, Haixin Wang +9

Fine-tuning visual models has been widely shown promising performance on many downstream visual tasks. With the surprising development of pre-trained visual foundation models, visu…

cs.CV2022

Fine-grained Retrieval Prompt Tuning

Shijie Wang, Jianlong Chang, Zhihui Wang +3

Fine-grained object retrieval aims to learn discriminative representation to retrieve visually similar objects. However, existing top-performing works usually impose pairwise simil…

cs.CV2020★ 129 cited

A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing

Chongwei Liu, Zhihui Wang, Shijie Wang +6

To boost the object grabbing capability of underwater robots for open-sea farming, we propose a new dataset (UDD) consisting of three categories (seacucumber, seaurchin, and scallo…

◍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.