research
∙
08/24/2023
Dense Text-to-Image Generation with Attention Modulation
Existing text-to-image diffusion models struggle to synthesize realistic...
share
research
∙
06/05/2023
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval
Video moment retrieval (VMR) aims to identify the specific moment in an ...
research
∙
05/27/2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
The deployment of large-scale generative models is often restricted by t...
research
∙
04/11/2023
Panoramic Image-to-Image Translation
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
research
∙
04/04/2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Token-based masked generative models are gaining popularity for their fa...
research
∙
03/14/2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Text-to-3D generation has shown rapid progress in recent days with the a...
research
∙
02/23/2023
Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays
Generated synthetic data in medical research can substitute privacy and ...
research
∙
02/13/2023
3D-aware Blending with Generative NeRFs
Image blending aims to combine multiple images seamlessly. It remains ch...
research
∙
02/03/2023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Multi-resolution hash encoding has recently been proposed to reduce the ...
research
∙
01/27/2023
Semi-Parametric Video-Grounded Text Generation
Efficient video-language modeling should consider the computational cost...
research
∙
11/04/2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Neural networks trained with ERM (empirical risk minimization) sometimes...
research
∙
10/23/2022
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
Video corpus moment retrieval (VCMR) is the task to retrieve the most re...
research
∙
10/08/2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
There are growing interests in adapting large-scale language models usin...
research
∙
05/25/2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
Text-to-image generation and image captioning are recently emerged as a ...
research
∙
05/25/2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
Visual dialog (VisDial) is a task of answering a sequence of questions g...
research
∙
05/11/2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Cross-domain few-shot learning (CD-FSL), where there are few target samp...
research
∙
02/01/2022
Understanding Cross-Domain Few-Shot Learning: An Experimental Study
Cross-domain few-shot learning has drawn increasing attention for handli...
research
∙
05/31/2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
We present the efficiency of semi-orthogonal embedding for unsupervised ...
research
∙
06/08/2020
Multi-step Estimation for Gradient-based Meta-learning
Gradient-based meta-learning approaches have been successful in few-shot...
research
∙
04/14/2020
DialGraph: Sparse Graph Learning Networks for Visual Dialog
Visual dialog is a task of answering a sequence of questions grounded in...
research
∙
09/21/2018
Multimodal Dual Attention Memory for Video Story Question Answering
We propose a video story question-answering (QA) architecture, Multimoda...
research
∙
05/21/2018
Bilinear Attention Networks
Attention networks in multimodal learning provide an efficient way to ut...
research
∙
12/18/2017
Visual Explanations from Hadamard Product in Multimodal Deep Networks
The visual explanation of learned representation of models helps to unde...
research
∙
12/15/2017
CoDraw: Visual Dialog for Collaborative Drawing
In this work, we propose a goal-driven collaborative task that contains ...
research
∙
10/14/2016
Hadamard Product for Low-rank Bilinear Pooling
Bilinear models provide rich representations compared with linear models...
research
∙
06/05/2016
Multimodal Residual Learning for Visual QA
Deep neural networks continue to advance the state-of-the-art of image r...
research
∙
11/24/2015