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09/18/2023
Gradpaint: Gradient-Guided Inpainting with Diffusion Models
Denoising Diffusion Probabilistic Models (DDPMs) have recently achieved ...
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09/04/2023
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
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07/30/2023
Unified Model for Image, Video, Audio and Language Tasks
Large Language Models (LLMs) have made the ambitious quest for generalis...
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07/18/2023
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Self-supervised learning can be used for mitigating the greedy needs of ...
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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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06/21/2023
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Large multimodal models trained on natural documents, which interleave i...
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06/15/2023
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving
Motion forecasting plays a critical role in enabling robots to anticipat...
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06/14/2023
Improving Selective Visual Question Answering by Learning from Your Peers
Despite advances in Visual Question Answering (VQA), the ability of mode...
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06/07/2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Foundation models are first pre-trained on vast unsupervised datasets an...
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03/20/2023
eP-ALM: Efficient Perceptual Augmentation of Language Models
Large Language Models (LLMs) have so far impressed the world, with unpre...
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01/24/2023
PowerQuant: Automorphism Search for Non-Uniform Quantization
Deep neural networks (DNNs) are nowadays ubiquitous in many domains such...
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12/20/2022
Recycling diverse models for out-of-distribution generalization
Foundation models are redefining how AI systems are built. Practitioners...
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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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12/08/2022
Structured Vision-Language Pretraining for Computational Cooking
Vision-Language Pretraining (VLP) and Foundation models have been the go...
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11/25/2022
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
Continual learning for segmentation has recently seen increasing interes...
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11/22/2022
OCTET: Object-aware Counterfactual Explanations
Nowadays, deep vision models are being widely deployed in safety-critica...
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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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08/29/2022
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment
Vision and Language Pretraining has become the prevalent approach for ta...
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07/08/2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
The leap in performance in state-of-the-art computer vision methods is a...
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06/27/2022
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
Recent works in autonomous driving have widely adopted the bird's-eye-vi...
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05/22/2022
Dynamic Query Selection for Fast Visual Perceiver
Transformers have been matching deep convolutional networks for vision a...
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05/20/2022
Swapping Semantic Contents for Mixing Images
Deep architecture have proven capable of solving many tasks provided a s...
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05/20/2022
Towards efficient feature sharing in MIMO architectures
Multi-input multi-output architectures propose to train multiple subnetw...
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05/19/2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Standard neural networks struggle to generalize under distribution shift...
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04/25/2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...
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04/20/2022
Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval
Cross-modal image-recipe retrieval has gained significant attention in r...
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04/14/2022
DeiT III: Revenge of the ViT
A Vision Transformer (ViT) is a simple neural architecture amenable to s...
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03/28/2022
REx: Data-Free Residual Quantization Error Expansion
Deep neural networks (DNNs) are nowadays ubiquitous in the computer visi...
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03/28/2022
SPIQ: Data-Free Per-Channel Static Input Quantization
Computationally expensive neural networks are ubiquitous in computer vis...
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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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12/27/2021
Augmenting Convolutional networks with attention-based aggregation
We show how to augment any convolutional network with an attention-based...
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12/06/2021
CSG0: Continual Urban Scene Generation with Zero Forgetting
With the rapid advances in generative adversarial networks (GANs), the v...
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12/06/2021
Embedding Arithmetic for Text-driven Image Transformation
Latent text representations exhibit geometric regularities, such as the ...
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11/22/2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Deep network architectures struggle to continually learn new tasks witho...
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11/17/2021
STEEX: Steering Counterfactual Explanations with Semantics
As deep learning models are increasingly used in safety-critical applica...
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11/07/2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
We describe a novel attribution method which is grounded in Sensitivity ...
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09/30/2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Pruning Deep Neural Networks (DNNs) is a prominent field of study in the...
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09/16/2021
Raising context awareness in motion forecasting
Learning-based trajectory prediction models have encountered great succe...
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09/08/2021
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
Vision-based depth estimation is a key feature in autonomous systems, wh...
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09/07/2021
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
Learning robust models that generalize well under changes in the data di...
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08/16/2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
In this work, we address the task of unsupervised domain adaptation (UDA...
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06/29/2021
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Deep learning approaches are nowadays ubiquitously used to tackle comput...
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06/03/2021
Semantic Palette: Guiding Scene Generation with Class Proportions
Despite the recent progress of generative adversarial networks (GANs) at...
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05/31/2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks
Deep Neural Networks (DNNs) are ubiquitous in today's computer vision la...
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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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04/07/2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
We introduce an evaluation methodology for visual question answering (VQ...
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03/31/2021
Going deeper with Image Transformers
Transformers have been recently adapted for large scale image classifica...
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03/10/2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
Recent strategies achieved ensembling "for free" by fitting concurrently...
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01/14/2021