research
∙
06/08/2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
This paper introduces a new large-scale image restoration dataset, calle...
share
research
∙
05/25/2023
Image is First-order Norm+Linear Autoregressive
This paper reveals that every image can be understood as a first-order n...
research
∙
05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
research
∙
04/20/2023
Domain Generalization for Mammographic Image Analysis via Contrastive Learning
Mammographic image analysis is a fundamental problem in the computer-aid...
research
∙
03/21/2023
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
Object tracking (OT) aims to estimate the positions of target objects in...
research
∙
12/15/2022
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
As a powerful representation of 3D scenes, the neural radiance field (Ne...
research
∙
09/05/2022
Imaging with Equivariant Deep Learning
From early image processing to modern computational imaging, successful ...
research
∙
08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
research
∙
06/30/2022
Semantic Image Synthesis via Diffusion Models
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkabl...
research
∙
06/07/2022
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
Leveraging large-scale data can introduce performance gains on many comp...
research
∙
06/02/2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
This paper revisits visual representation in knowledge-based visual ques...
research
∙
03/02/2022
Protecting Celebrities with Identity Consistency Transformer
In this work we propose Identity Consistency Transformer, a novel face f...
research
∙
01/28/2022
Sampling Theorems for Learning from Incomplete Measurements
In many real-world settings, only incomplete measurement data are availa...
research
∙
12/09/2021
HairCLIP: Design Your Hair by Text and Reference Image
Hair editing is an interesting and challenging problem in computer visio...
research
∙
11/25/2021
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
Deep networks provide state-of-the-art performance in multiple imaging i...
research
∙
11/24/2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
This paper explores a better codebook for BERT pre-training of vision tr...
research
∙
11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
research
∙
12/07/2020
Identity-Driven DeepFake Detection
DeepFake detection has so far been dominated by “artifact-driven” method...
research
∙
09/14/2020
Old Photo Restoration via Deep Latent Space Translation
We propose to restore old photos that suffer from severe degradation thr...
research
∙
06/27/2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Consistency of the predictions with respect to the physical forward mode...
research
∙
04/20/2020
Bringing Old Photos Back to Life
We propose to restore old photos that suffer from severe degradation thr...
research
∙
12/08/2019
