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08/03/2023
Guided Distillation for Semi-Supervised Instance Segmentation
Although instance segmentation methods have improved considerably, the d...
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07/17/2023
Multi-Domain Learning with Modulation Adapters
Deep convolutional networks are ubiquitous in computer vision, due to th...
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06/23/2023
Zero-shot spatial layout conditioning for text-to-image diffusion models
Large-scale text-to-image diffusion models have significantly improved t...
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05/15/2023
Improved baselines for vision-language pre-training
Contrastive learning has emerged as an efficient framework to learn mult...
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04/26/2023
Controllable Image Generation via Collage Representations
Recent advances in conditional generative image models have enabled impr...
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04/10/2023
Are Visual Recognition Models Robust to Image Compression?
Reducing the data footprint of visual content via image compression is e...
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04/05/2023
Few-shot Semantic Image Synthesis with Class Affinity Transfer
Semantic image synthesis aims to generate photo realistic images given a...
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03/16/2023
Instance-Conditioned GAN Data Augmentation for Representation Learning
Data augmentation has become a crucial component to train state-of-the-a...
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01/26/2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Lossy image compression aims to represent images in as few bits as possi...
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12/14/2022
Image Compression with Product Quantized Masked Image Modeling
Recent neural compression methods have been based on the popular hyperpr...
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12/09/2022
Co-training 2^L Submodels for Visual Recognition
We introduce submodel co-training, a regularization method related to co...
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11/25/2022
Unifying conditional and unconditional semantic image synthesis with OCO-GAN
Generative image models have been extensively studied in recent years. I...
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10/20/2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
Image generation has recently seen tremendous advances, with diffusion m...
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03/18/2022
Three things everyone should know about Vision Transformers
After their initial success in natural language processing, transformer ...
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03/09/2022
FlexIT: Towards Flexible Semantic Image Translation
Deep generative models, like GANs, have considerably improved the state ...
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09/10/2021
Instance-Conditioned GAN
Generative Adversarial Networks (GANs) can generate near photo realistic...
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06/17/2021
XCiT: Cross-Covariance Image Transformers
Following their success in natural language processing, transformers hav...
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05/07/2021
ResMLP: Feedforward networks for image classification with data-efficient training
We present ResMLP, an architecture built entirely upon multi-layer perce...
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03/23/2021
DualConv: Dual Mesh Convolutional Networks for Shape Correspondence
Convolutional neural networks have been extremely successful for 2D imag...
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08/27/2020
Meta-Learning with Shared Amortized Variational Inference
We propose a novel amortized variational inference scheme for an empiric...
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07/20/2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Generative models have proven effective at modeling 3D shapes and their ...
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05/18/2020
Efficient Wait-k Models for Simultaneous Machine Translation
Simultaneous machine translation consists in starting output generation ...
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03/03/2020
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost
Deep neural networks form the basis of state-of-the-art models across a ...
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09/13/2019
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization
Visual localization is pivotal to many applications in computer vision a...
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08/20/2019
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
We study end-to-end learning strategies for 3D shape inference from imag...
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08/19/2019
Adaptative Inference Cost With Convolutional Neural Mixture Models
Despite the outstanding performance of convolutional neural networks (CN...
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01/24/2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders
Learning disentangled representations from visual data, where different ...
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01/04/2019
Coverage and Quality Driven Training of Generative Image Models
Generative modeling of natural images has been extensively studied in re...
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08/15/2018
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
Image-based camera relocalization is an important problem in computer vi...
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08/11/2018
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Current state-of-the-art machine translation systems are based on encode...
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06/19/2018
Mixed batches and symmetric discriminators for GAN training
Generative adversarial networks (GANs) are pow- erful generative models ...
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05/14/2018
Token-level and sequence-level loss smoothing for RNN language models
Despite the effectiveness of recurrent neural network language models, t...
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03/30/2018
Predicting Future Instance Segmentations by Forecasting Convolutional Features
Anticipating future events is an important prerequisite towards intellig...
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11/30/2017
Auxiliary Guided Autoregressive Variational Autoencoders
Generative modeling of high-dimensional data is a key problem in machine...
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06/16/2017
Dynamic Filters in Graph Convolutional Networks
Convolutional neural networks (CNNs) have massively impacted visual reco...
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03/22/2017
Predicting Deeper into the Future of Semantic Segmentation
The ability to predict and therefore to anticipate the future is an impo...
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12/03/2016
Areas of Attention for Image Captioning
We propose "Areas of Attention", a novel attention-based model for autom...
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11/25/2016
Semantic Segmentation using Adversarial Networks
Adversarial training has been shown to produce state of the art results ...
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06/08/2016
Convolutional Neural Fabrics
Despite the success of CNNs, selecting the optimal architecture for a gi...
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03/21/2016
Frankenstein: Learning Deep Face Representations using Small Data
Deep convolutional neural networks have recently proven extremely effect...
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10/03/2015
Approximate Fisher Kernels of non-iid Image Models for Image Categorization
The bag-of-words (BoW) model treats images as sets of local descriptors ...
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06/08/2015
Circulant temporal encoding for video retrieval and temporal alignment
We address the problem of specific video event retrieval. Given a query ...
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04/21/2015
A robust and efficient video representation for action recognition
This paper introduces a state-of-the-art video representation and applie...
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03/03/2015