research
∙
04/14/2023
Identity Encoder for Personalized Diffusion
Many applications can benefit from personalized image generation models,...
share
research
∙
04/05/2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
This paper proposes a method for generating images of customized objects...
research
∙
04/05/2023
What's in a Name? Beyond Class Indices for Image Recognition
Existing machine learning models demonstrate excellent performance in im...
research
∙
04/01/2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Recent text-to-image generation models like DreamBooth have made remarka...
research
∙
03/02/2023
Learning to Adapt to Online Streams with Distribution Shifts
Test-time adaptation (TTA) is a technique used to reduce distribution ga...
research
∙
05/25/2022
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose
Reconstructing multi-human body mesh from a single monocular image is an...
research
∙
03/21/2021
MoViNets: Mobile Video Networks for Efficient Video Recognition
We present Mobile Video Networks (MoViNets), a family of computation and...
research
∙
02/17/2021
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Object frequencies in daily scenes follow a long-tailed distribution. Ma...
research
∙
11/23/2020
Ranking Neural Checkpoints
This paper is concerned with ranking many pre-trained deep neural networ...
research
∙
07/17/2020
Improving Object Detection with Selective Self-supervised Self-training
We study how to leverage Web images to augment human-curated object dete...
research
∙
03/31/2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
We study how to train a student deep neural network for visual recogniti...
research
∙
03/26/2020
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
We propose a new task towards more practical application for image gener...
research
∙
11/21/2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
There is an increasing number of pre-trained deep neural network models....
research
∙
08/20/2019
Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
Graph neural networks (GNNs) are widely used in many applications. Howev...
research
∙
05/01/2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Powerful adversarial attack methods are vital for understanding how to c...
research
∙
02/25/2019
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference
Real-time traffic volume inference is key to an intelligent city. It is ...
research
∙
02/03/2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
There is a growing interest in designing models that can deal with image...
research
∙
11/05/2018
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Despite the success of deep learning for static image understanding, it ...
research
∙
07/11/2018
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
The large volume of video content and high viewing frequency demand auto...
research
∙
08/15/2017
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
Rich and dense human labeled datasets are among the main enabling factor...
research
∙
08/12/2017
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification
This paper describes our solution for the video recognition task of Acti...
research
∙
07/14/2017