José Lezama
16 papers · 2014–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(10)
🌍
Conference Polyglot
(5)
👑
Triple Crown
👥
Mega-Team
(31)
🧬
Topic Evolution
🚀
Conference Pioneer
📈
Trend Setter
🗃️
Keyword Collector
(58)
⚡
Prolific Year
(5)
💎
Century Club
(16)
Conferences
CVPR (6)
ECCV (3)
ICLR (3)
ICML (3)
NIPS (1)
Top co-authors
Keywords
image generation
(2)
generative model
(2)
deep learning
(2)
vision transformer
(2)
feature embedding
(1)
optimal transport
(1)
video generation
(1)
latent diffusion
(1)
orthogonal projection
(1)
face recognition
(1)
knowledge transfer
(1)
text-to-image generation
(1)
dual domain
(1)
sliced wasserstein distance
(1)
distribution matching
(1)
video synthesis
(1)
multi-task learning
(1)
diffusion model
(1)
metric learning
(1)
representation learning
(1)
Papers
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
NIPS 2024
Photorealistic Video Generation with Diffusion Models
ECCV 2024
Language Model Beats Diffusion - Tokenizer is key to visual generation
ICLR 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation
ICML 2024
Muse: Text-To-Image Generation via Masked Generative Transformers
ICML 2023
MAGVIT: Masked Generative Video Transformer
CVPR 2023
MaskSketch: Unpaired Structure-Guided Masked Image Generation
CVPR 2023
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
ICLR 2023
Visual Prompt Tuning for Generative Transfer Learning
CVPR 2023
Improved Masked Image Generation with Token-Critic
ECCV 2022
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
ICML 2021
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision
ICLR 2019
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
ECCV 2018
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning
CVPR 2018
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding
CVPR 2017
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains
CVPR 2014