research
∙
04/24/2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Spiking neural networks (SNNs) offer a promising energy-efficient altern...
share
research
∙
04/14/2023
Identity Encoder for Personalized Diffusion
Many applications can benefit from personalized image generation models,...
research
∙
12/07/2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Achieving multiple genres and long-term choreography sequences from give...
research
∙
11/16/2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Generative modeling and representation learning are two key tasks in com...
research
∙
10/05/2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description
We present Phenaki, a model capable of realistic video synthesis, given ...
research
∙
08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
research
∙
06/22/2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...
research
∙
12/09/2021
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Creating visual layouts is an important step in graphic design. Automati...
research
∙
07/09/2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
In many applications of computer graphics, art and design, it is desirab...
research
∙
07/31/2020
Improving NER's Performance with Massive financial corpus
Training large deep neural networks needs massive high quality annotatio...
research
∙
06/03/2020
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
research
∙
05/10/2020
A Simple Semi-Supervised Learning Framework for Object Detection
Semi-supervised learning (SSL) has promising potential for improving the...
research
∙
02/12/2020
Solving Missing-Annotation Object Detection with Background Recalibration Loss
This paper focuses on a novel and challenging detection scenario: A majo...
research
∙
02/11/2020
Improved Consistency Regularization for GANs
Recent work has increased the performance of Generative Adversarial Netw...
research
∙
07/27/2019
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Learning topological representation of a network in dynamic environments...
research
∙
04/19/2019
ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge c...
research
∙
03/08/2019
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics
In this paper, we investigate deep learning (DL)-enabled signal demodula...
research
∙
03/15/2018
Improving GANs Using Optimal Transport
We present Optimal Transport GAN (OT-GAN), a variant of generative adver...
research
∙
11/28/2017
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
In this paper, we propose an Attentional Generative Adversarial Network ...
research
∙
10/19/2017
