◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Weidi Xie

90 papers hereh-index 5314.4k citations116 works total

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

author position
  • first author4
  • middle author63
  • last author22

Across the 89 of 90 papers where every author was matched, so the position is known.

fields
  • cs.CV80
  • eess.IV3
  • cs.CL2
  • cs.SD2
  • cs.LG1
  • eess.AS1
same name
  • Weidi Xie — 9 papers, h 7
  • Weidi Xie — 6 papers, h 4
  • Weidi Xie — 4 papers
  • Weidi Xie — 4 papers, h 2
  • Weidi Xie — 2 papers
  • Weidi Xie — 1 paper, 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
20172026
most citedSelf-supervised Co-training for Video Representation Learning

273 citations · 1.4k across the 86 of their papers we have counts for

collaborators
Showing 2019 · cs.CVShow all

4 papers · 2 filters

cs.CV2019★ 48 cited

Video Representation Learning by Dense Predictive Coding

Tengda Han, Weidi Xie, Andrew Zisserman

The objective of this paper is self-supervised learning of spatio-temporal embeddings from video, suitable for human action recognition. We make three contributions: First, we intr…

cs.CV2019★ 5 cited

Geometry-Aware Video Object Detection for Static Cameras

Dan Xu, Weidi Xie, Andrew Zisserman

In this paper we propose a geometry-aware model for video object detection. Specifically, we consider the setting that cameras can be well approximated as static, e.g. in video sur…

cs.CV2019★ 8 cited

AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations

Honglie Chen, Weidi Xie, Andrea Vedaldi +1

We propose AutoCorrect, a method to automatically learn object-annotation alignments from a dataset with annotations affected by geometric noise. The method is based on a consisten…

cs.CV2019★ 56 cited

Self-supervised Learning for Video Correspondence Flow

Zihang Lai, Weidi Xie

The objective of this paper is self-supervised learning of feature embeddings that are suitable for matching correspondences along the videos, which we term correspondence flow. By…

◍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.