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09/04/2023
StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation
This paper presents a LoRA-free method for stylized image generation tha...
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06/23/2023
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation
Scene Graph Generation (SGG) aims to structurally and comprehensively re...
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06/12/2023
Sticker820K: Empowering Interactive Retrieval with Stickers
Stickers have become a ubiquitous part of modern-day communication, conv...
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06/06/2023
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
As an important and challenging problem in computer vision, PAnoramic Se...
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04/17/2023
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Despite the success in large-scale text-to-image generation and text-con...
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03/30/2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Recently, diffusion models have achieved great success in image synthesi...
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02/16/2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
The incredible generative ability of large-scale text-to-image (T2I) mod...
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01/30/2023
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
Vision-language alignment learning for video-text retrieval arouses a lo...
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06/22/2022
Weakly-supervised Action Localization via Hierarchical Mining
Weakly-supervised action localization aims to localize and classify acti...
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05/26/2022
Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation
Action classification has made great progress, but segmenting and recogn...
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05/10/2022
Accelerating the Training of Video Super-Resolution Models
Despite that convolution neural networks (CNN) have recently demonstrate...
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09/13/2021
From Heatmaps to Structural Explanations of Image Classifiers
This paper summarizes our endeavors in the past few years in terms of ex...
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08/02/2021
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Recent blind super-resolution (SR) methods typically consist of two bran...
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05/01/2021
Stochastic Block-ADMM for Training Deep Networks
In this paper, we propose Stochastic Block-ADMM as an approach to train ...
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02/10/2021
A Generic Object Re-identification System for Short Videos
Short video applications like TikTok and Kwai have been a great hit rece...
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11/23/2019
Visualizing Point Cloud Classifiers by Curvature Smoothing
Recently, several networks that operate directly on point clouds have be...
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05/02/2019
Visualizing Deep Networks by Optimizing with Integrated Gradients
Understanding and interpreting the decisions made by deep learning model...
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12/18/2018
Interactive Naming for Explaining Deep Neural Networks: A Formative Study
We consider the problem of explaining the decisions of deep neural netwo...
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11/17/2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
Unlike images which are represented in regular dense grids, 3D point clo...
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09/15/2017