Adrian Bulat
30 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (8) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (52)
πΊοΈ
Taxonomy Completionist
(52)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(29)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(30)
ποΈ
Keyword Collector
(104)
π₯
Unstoppable
(9)
β
The Questioner
Conferences
ICCV (8)
CVPR (7)
ECCV (6)
ICLR (3)
AAAI (2)
EMNLP (2)
NIPS (2)
Top co-authors
Keywords
vision-language model
(5)
model compression
(4)
contrastive learning
(4)
transfer learning
(3)
prompt learning
(3)
domain adaptation
(2)
temporal modeling
(2)
image retrieval
(2)
large language model
(2)
neural network
(2)
tensor decomposition
(2)
soft prompting
(2)
few-shot learning
(2)
catastrophic forgetting
(1)
variational inference
(1)
domain generalization
(1)
feature alignment
(1)
image generation
(1)
video captioning
(1)
representation learning
(1)
Papers
VladVA: Discriminative Fine-tuning of LVLMs
CVPR 2025
Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene Descriptions
EMNLP 2025
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
CVPR 2025
QBB: Quantization with Binary Bases for LLMs
NIPS 2024
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
CVPR 2024
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
ECCV 2024
Efficient Vision-Language pre-training via domain-specific learning for human activities
EMNLP 2024
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
ECCV 2024
LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
CVPR 2023
FS-DETR: Few-Shot DEtection TRansformer with Prompting and without Re-Training
ICCV 2023
Bayesian Prompt Learning for Image-Language Model Generalization
ICCV 2023
Black Box Few-Shot Adaptation for Vision-Language Models
ICCV 2023
ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded
ICCV 2023
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
ECCV 2022
Pre-training Strategies and Datasets for Facial Representation Learning
ECCV 2022
High-Capacity Expert Binary Networks
ICLR 2021
Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection
ICCV 2021
Knowledge distillation via softmax regression representation learning
ICLR 2021
Space-time Mixing Attention for Video Transformer
NIPS 2021
FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition
AAAI 2020
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
CVPR 2020
BATS: Binary ArchitecTure Search
ECCV 2020
Training binary neural networks with real-to-binary convolutions
ICLR 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
AAAI 2020
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor
CVPR 2019
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs
CVPR 2018
To learn image super-resolution, use a GAN to learn how to do image degradation first
ECCV 2018
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment With Limited Resources
ICCV 2017
Large Pose 3D Face Reconstruction From a Single Image via Direct Volumetric CNN Regression
ICCV 2017
How Far Are We From Solving the 2D & 3D Face Alignment Problem? (And a Dataset of 230,000 3D Facial Landmarks)
ICCV 2017