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06/15/2023
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Due to the limited scale and quality of video-text training corpus, most...
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12/21/2022
Class Prototype-based Cleaner for Label Noise Learning
Semi-supervised learning based methods are current SOTA solutions to the...
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11/22/2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
This paper does not attempt to design a state-of-the-art method for visu...
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11/20/2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
We present an efficient text-to-video generation framework based on late...
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10/28/2022
MagicMix: Semantic Mixing with Diffusion Models
Have you ever imagined what a corgi-alike coffee machine or a tiger-alik...
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10/02/2022
ManiCLIP: Multi-Attribute Face Manipulation from Text
In this paper we present a novel multi-attribute face manipulation metho...
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07/16/2022
Clover: Towards A Unified Video-Language Alignment and Fusion Model
Building a universal video-language model for solving various video unde...
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07/20/2021
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Existing long-tailed recognition methods, aiming to train class-balance ...
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03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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01/28/2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Transformers, which are popular for language modeling, have been explore...
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06/12/2020
Effective Training Strategies for Deep Graph Neural Networks
Graph Neural Networks (GNNs) tend to suffer performance degradation as m...
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03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
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09/16/2019
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer
We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
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05/23/2019
Prototype Reminding for Continual Learning
Continual learning is a critical ability of continually acquiring and tr...
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12/05/2018
Few-shot Object Detection via Feature Reweighting
This work aims to solve the challenging few-shot object detection proble...
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07/21/2017
Neural Person Search Machines
We investigate the problem of person search in the wild in this work. In...
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05/19/2017
Towards Real World Human Parsing: Multiple-Human Parsing in the Wild
The recent progress of human parsing techniques has been largely driven ...
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04/17/2017
Multi-View Image Generation from a Single-View
This paper addresses a challenging problem -- how to generate multi-view...
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12/06/2016
