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Guijin Wang

13 papers hereh-index 7226 citations25 works total

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

author position
  • middle author3
  • last author9

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.CV4
same name
  • Guijin Wang — 14 papers, h 32
  • Guijin Wang — 3 papers, h 2
  • Guijin Wang — 1 paper, h 2

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
20202026
most citedDiffusion-Based Depth Inpainting for Transparent and Reflective Objects

9 citations · 19 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection

Xiaojian Lin, Wenxin Zhang, Yuchu Jiang +7

Hierarchical feature representations play a pivotal role in computer vision, particularly in object detection for autonomous driving. Multi-level semantic understanding is crucial…

cs.CV2024★ 9 cited

Diffusion-Based Depth Inpainting for Transparent and Reflective Objects

Tianyu Sun, Dingchang Hu, Yixiang Dai +1

Transparent and reflective objects, which are common in our everyday lives, present a significant challenge to 3D imaging techniques due to their unique visual and optical properti…

cs.CV2024

Category-Agnostic Pose Estimation for Point Clouds

Bowen Liu, Wei Liu, Siang Chen +2

The goal of object pose estimation is to visually determine the pose of a specific object in the RGB-D input. Unfortunately, when faced with new categories, both instance-based and…

cs.CV2020★ 8 cited

Master-Auxiliary: an efficient aggregation strategy for video anomaly detection

Zhiguo Wang, Zhongliang Yang, Yujin Zhang

The aim of surveillance video anomaly detection is to detect events that rarely or never happened in a certain scene. Generally, different detectors can detect different anomalies.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.