Filippos Kokkinos
16 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (6) π Conference Polyglot (7) π Academic Marathon (9) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(7)
π§¬
Topic Evolution
π
Century Club
(16)
π
Conference Pioneer
ποΈ
Keyword Collector
(66)
π₯
Unstoppable
(6)
Conferences
CVPR (3)
ECCV (3)
ICML (3)
ICCV (2)
NIPS (2)
SEMEVAL (2)
EACL (1)
Top co-authors
Keywords
3d reconstruction
(4)
convolutional neural network
(2)
text-to-3d generation
(2)
sentiment analysis
(1)
video generation
(1)
self-supervised learning
(1)
text classification
(1)
sentiment classification
(1)
image denoising
(1)
proximal gradient descent
(1)
linear complexity
(1)
dynamic scene
(1)
generative model
(1)
diffusion model
(1)
recursive neural network
(1)
semantic analysis
(1)
3d generation
(1)
differentiable optimization
(1)
vision-language model
(1)
natural language processing
(1)
Papers
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation
ICML 2025
Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects
CVPR 2025
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
NIPS 2024
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models
ECCV 2024
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
ICML 2024
Text-To-4D Dynamic Scene Generation
ICML 2023
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
ICCV 2023
To The Point: Correspondence-driven monocular 3D category reconstruction
NIPS 2021
Learning Monocular 3D Reconstruction of Articulated Categories From Motion
CVPR 2021
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials
ICCV 2021
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters
ECCV 2020
Iterative Residual CNNs for Burst Photography Applications
CVPR 2019
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks
ECCV 2018
Structural Attention Neural Networks for improved sentiment analysis
EACL 2017
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
SEMEVAL 2017
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation
SEMEVAL 2016