Yuta Nakashima
41 papers · 2018–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (71) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(10)
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Prolific
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(170)
Venues
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Research topics
Machine Learning
(26)
Artificial Intelligence
(25)
Core AI
(24)
Computer Vision
(18)
Deep Learning
(16)
Learning Types · Machine Learning
(14)
Core Methods
(11)
Application Areas
(10)
Natural Language Processing
(7)
Generation
(7)
Applications
(6)
Processing
(6)
Analysis
(5)
Architectures
(5)
Learning Types · Deep Learning
(5)
Keywords
image captioning
(8)
vision-language model
(6)
multimodal learning
(6)
societal bia
(5)
gender bia
(5)
knowledge graph
(3)
bias mitigation
(3)
semantic segmentation
(3)
visual question answering
(3)
object detection
(3)
representation learning
(3)
benchmark evaluation
(2)
video summarization
(2)
text-to-image generation
(2)
image classification
(2)
multi-annotator learning
(2)
sentiment analysis
(2)
video understanding
(2)
video classification
(2)
transfer learning
(2)
Papers
EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories
CVPR 2026
QuMAB: Query-based Multi-annotator Behavior Pattern Learning
AAAI 2026
SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels
AAAI 2026
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
ICCV 2025
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
ACL 2025
No Annotations for Object Detection in Art through Stable Diffusion
WACV 2025
Paladin: Understanding Video Intentions in Political Advertisement Videos
WACV 2025
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
ICCV 2025
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter
AAAI 2025
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training
COLING 2025
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
ICLR 2025
Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown
ICCV 2025
Text Normalization for Sentiment Analysis in Japanese Social Media
NAACL 2025
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
NeurIPS 2024
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
EMNLP 2024
Instruct Me More! Random Prompting for Visual In-Context Learning
WACV 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
EMNLP 2024
Revisiting Pixel-Level Contrastive Pre-Training on Scene Images
WACV 2024
Would Deep Generative Models Amplify Bias in Future Models?
CVPR 2024
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
WACV 2023
Learning Bottleneck Concepts in Image Classification
CVPR 2023
Model-Agnostic Gender Debiased Image Captioning
CVPR 2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
CVPR 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
CVPR 2023
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
CVPR 2022
Emotional Intensity Estimation based on Writer’s Personality
AACL 2022
Optimal Correction Cost for Object Detection Evaluation
CVPR 2022
Quantifying Societal Bias Amplification in Image Captioning
CVPR 2022
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers
ACL 2021
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
ICCV 2021
SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition
ICCV 2021
The Laughing Machine: Predicting Humor in Video
WACV 2021
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations
NAACL 2021
BERT representations for Video Question Answering
WACV 2020
IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
EMNLP 2020
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
WACV 2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
MIDL 2020
KnowIT VQA: Answering Knowledge-Based Questions about Videos
AAAI 2020
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
ECCV 2020
Rethinking the Evaluation of Video Summaries
CVPR 2019
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image
COLING 2018