◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wei-Lun Chao

The Ohio State University

32 papers hereh-index 287.4k citations61 works total

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

author position
  • first author3
  • middle author18
  • last author10

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.LG5
  • cs.CL1
  • cs.RO1
  • eess.IV1
affiliations
  • The Ohio State University
Homepage
same name
  • Wei-Lun Chao — 30 papers, h 20
  • Wei-Lun Chao — 28 papers, h 12
  • Wei-Lun Chao — 12 papers, h 3
  • Wei-Lun Chao — 6 papers, h 4
  • Wei-Lun Chao — 2 papers, h 1
  • Wei-Lun Chao — 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
20162025
most citedSimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

233 citations · 389 across the 15 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Yan Wang, Wei-Lun Chao, Divyansh Garg +3

3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise bu…

cs.CV2018

Classifier and Exemplar Synthesis for Zero-Shot Learning

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong +1

Zero-shot learning (ZSL) enables solving a task without the need to see its examples. In this paper, we propose two ZSL frameworks that learn to synthesize parameters for novel uns…

cs.CV2018

Cross-Dataset Adaptation for Visual Question Answering

Wei-Lun Chao, Hexiang Hu, Fei Sha

We investigate the problem of cross-dataset adaptation for visual question answering (Visual QA). Our goal is to train a Visual QA model on a source dataset but apply it to another…

cs.CV2018

Learning Answer Embeddings for Visual Question Answering

Hexiang Hu, Wei-Lun Chao, Fei Sha

We propose a novel probabilistic model for visual question answering (Visual QA). The key idea is to infer two sets of embeddings: one for the image and the question jointly and th…

◍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.