Kiyoharu Aizawa
29 papers · 2014–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (9) π Academic Marathon (11) πΊοΈ Taxonomy Completionist (54)
πΊοΈ
Taxonomy Completionist
(54)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Trend Setter
β
The Questioner
π₯
Unstoppable
(12)
ποΈ
Keyword Collector
(128)
π
Century Club
(28)
Conferences
CVPR (11)
ECCV (3)
ICCV (3)
IJCAI (3)
WACV (3)
ACL (2)
AAAI (1)
EACL (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large multimodal model
(3)
self-supervised learning
(2)
object detection
(2)
optical character recognition
(2)
tag recommendation
(2)
weakly supervised learning
(2)
photometric stereo
(2)
convolutional neural network
(2)
out-of-distribution detection
(2)
vision-language model
(2)
product quantization
(2)
neural network
(2)
isotropic reflectance
(2)
data augmentation
(2)
popularity prediction
(2)
global optimization
(2)
k-means clustering
(1)
cluster analysis
(1)
action recognition
(1)
computer vision
(1)
Papers
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
EACL 2026
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
NAACL 2025
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
ACL 2025
Harnessing PDF Data for Improving Japanese Large Multimodal Models
ACL 2025
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
CVPR 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
CVPR 2024
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization
ECCV 2024
Universal Deep Image Compression via Content-Adaptive Optimization With Adapters
WACV 2023
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
WACV 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
NIPS 2023
Self-Labeling Framework for Novel Category Discovery over Domains
AAAI 2022
Fast Nonlinear Image Unblending
WACV 2022
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts
ECCV 2022
What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
CVPR 2021
Channel-Level Variable Quantization Network for Deep Image Compression
IJCAI 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
ECCV 2020
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
ICCV 2019
Object-Aware Instance Labeling for Weakly Supervised Object Detection
ICCV 2019
Local and Global Optimization Techniques in Graph-Based Clustering
CVPR 2018
Joint Optimization Framework for Learning With Noisy Labels
CVPR 2018
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems
CVPR 2018
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
CVPR 2018
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
CVPR 2017
FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services
IJCAI 2017
Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity
IJCAI 2017
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos
CVPR 2017
Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs
CVPR 2016
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables
ICCV 2015
Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces
CVPR 2014