Hirokatsu Kataoka
25 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Academic Marathon (8) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (45)
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(45)
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(11)
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Topic Evolution
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Keyword Champion
(4)
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Prolific Year
(7)
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Century Club
(25)
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Keyword Collector
(94)
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The Questioner
(3)
Conferences
CVPR (7)
WACV (7)
ICCV (6)
ECCV (4)
AAAI (1)
Top co-authors
Research topics
Keywords
vision transformer
(5)
formula-driven supervised learning
(4)
transfer learning
(4)
self-supervised learning
(3)
object detection
(3)
action recognition
(3)
image classification
(3)
video classification
(2)
scene understanding
(2)
formula-driven supervision
(2)
change detection
(2)
vision-language model
(2)
adversarial example
(2)
diffusion model
(2)
image captioning
(2)
data augmentation
(2)
3d vision
(2)
point cloud
(2)
generative adversarial network
(2)
synthetic image
(2)
Papers
Diffusion Noise Optimization for Synthetic VLM Training
WACV 2026
AgroBench: Vision-Language Model Benchmark in Agriculture
ICCV 2025
AnimalClue: Recognizing Animals by their Traces
ICCV 2025
Formula-Supervised Visual-Geometric Pre-training
ECCV 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition
WACV 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
CVPR 2024
Scaling Backwards: Minimal Synthetic Pre-training?
ECCV 2024
Rethinking Image Super Resolution from Training Data Perspectives
ECCV 2024
Pre-training Vision Transformers with Very Limited Synthesized Images
ICCV 2023
3D Change Localization and Captioning From Dynamic Scans of Indoor Scenes
WACV 2023
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves
CVPR 2023
Graph Representation for Order-Aware Visual Transformation
CVPR 2023
VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset With Consistent Relationship Labels
WACV 2023
Frequency-aware GAN for Adversarial Manipulation Generation
ICCV 2023
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning
ICCV 2023
Can Vision Transformers Learn without Natural Images?
AAAI 2022
Point Cloud Pre-Training With Natural 3D Structures
CVPR 2022
Replacing Labeled Real-Image Datasets With Auto-Generated Contours
CVPR 2022
Neural Density-Distance Fields
ECCV 2022
Spatiotemporal Initialization for 3D CNNs With Generated Motion Patterns
WACV 2022
Alleviating Over-Segmentation Errors by Detecting Action Boundaries
WACV 2021
Describing and Localizing Multiple Changes With Transformers
ICCV 2021
Viewpoint-Agnostic Image Rendering
WACV 2021
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB
CVPR 2018
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
CVPR 2018