research
∙
03/16/2023
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective
Contrastive Language-Image Pre-Training (CLIP) has refreshed the state o...
share
research
∙
03/16/2023
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
Despite the progress made in the style transfer task, most previous work...
research
∙
02/13/2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
There is a recent growing interest in applying Deep Learning techniques ...
research
∙
01/27/2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Denoising Diffusion Probabilistic Models have shown an impressive genera...
research
∙
10/03/2022
Smooth image-to-image translations with latent space interpolations
Multi-domain image-to-image (I2I) translations can transform a source im...
research
∙
06/09/2022
Spatial Entropy Regularization for Vision Transformers
Recent work has shown that the attention maps of Vision Transformers (VT...
research
∙
04/07/2022
Temporal Alignment for History Representation in Reinforcement Learning
Environments in Reinforcement Learning are usually only partially observ...
research
∙
12/02/2021
3D-Aware Semantic-Guided Generative Model for Human Synthesis
Generative Neural Radiance Field (GNeRF) models, which extract implicit ...
research
∙
08/19/2021
A Unified Objective for Novel Class Discovery
In this paper, we study the problem of Novel Class Discovery (NCD). NCD ...
research
∙
06/16/2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Image-to-Image (I2I) multi-domain translation models are usually evaluat...
research
∙
06/07/2021
Efficient Training of Visual Transformers with Small-Size Datasets
Visual Transformers (VTs) are emerging as an architectural paradigm alte...
research
∙
05/31/2021
Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
Controllable person image generation aims to produce realistic human ima...
research
∙
08/09/2020
Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
In this paper we address the problem of unsupervised gaze correction in ...
research
∙
08/04/2020
Online Continual Learning under Extreme Memory Constraints
Continual Learning (CL) aims to develop agents emulating the human abili...
research
∙
07/13/2020
Whitening for Self-Supervised Representation Learning
Recent literature on self-supervised learning is based on the contrastiv...
research
∙
04/19/2020
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation
Most domain adaptation methods consider the problem of transferring know...
research
∙
04/07/2020
MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
Gaze redirection aims at manipulating a given eye gaze to a desirable di...
research
∙
05/07/2019
Attention-based Fusion for Multi-source Human Image Generation
We present a generalization of the person-image generation task, in whic...
research
∙
04/30/2019
Appearance and Pose-Conditioned Human Image Generation using Deformable GANs
In this paper, we address the problem of generating person images condit...
research
∙
04/02/2019
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images
Hashing methods have been recently found very effective in retrieval of ...
research
∙
03/07/2019
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
A classifier trained on a dataset seldom works on other datasets obtaine...
research
∙
06/01/2018
Whitening and Coloring transform for GANs
Batch Normalization (BN) is a common technique used both in discriminati...
research
∙
12/29/2017
Deformable GANs for Pose-based Human Image Generation
In this paper we address the problem of generating person images conditi...
research
∙
08/31/2017
Abnormal Event Detection in Videos using Generative Adversarial Nets
In this paper we address the abnormality detection problem in crowded sc...
research
∙
06/23/2017
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
Abnormal crowd behaviour detection attracts a large interest due to its ...
research
∙
05/03/2017
FOIL it! Find One mismatch between Image and Language caption
In this paper, we aim to understand whether current language and vision ...
research
∙
10/02/2016
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
Most of the crowd abnormal event detection methods rely on complex hand-...
research
∙
05/24/2016