research
∙
06/20/2023
CAMP-Net: Context-Aware Multi-Prior Network for Accelerated MRI Reconstruction
Despite promising advances in deep learning-based MRI reconstruction met...
share
research
∙
04/08/2023
GANHead: Towards Generative Animatable Neural Head Avatars
To bring digital avatars into people's lives, it is highly demanded to e...
research
∙
12/02/2022
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
We present a simple yet effective end-to-end Video-language Pre-training...
research
∙
11/21/2022
Video Background Music Generation: Dataset, Method and Evaluation
Music is essential when editing videos, but selecting music manually is ...
research
∙
08/23/2022
Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction
Providing quality-constant streams can simultaneously guarantee user exp...
research
∙
08/12/2022
The Limit of the Marginal Distribution Model in Consumer Choice
Given data on choices made by consumers for different assortments, a key...
research
∙
07/01/2022
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022
In this report, we present the ReLER@ZJU-Alibaba submission to the Ego4D...
research
∙
05/24/2022
Context Attention Network for Skeleton Extraction
Skeleton extraction is a task focused on providing a simple representati...
research
∙
05/09/2022
Single-Image 3D Face Reconstruction under Perspective Projection
In 3D face reconstruction, orthogonal projection has been widely employe...
research
∙
03/26/2022
GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection
The task of Human-Object Interaction (HOI) detection could be divided in...
research
∙
12/14/2021
Weakly Supervised High-Fidelity Clothing Model Generation
The development of online economics arouses the demand of generating ima...
research
∙
08/11/2021
Mining the Benefits of Two-stage and One-stage HOI Detection
Two-stage methods have dominated Human-Object Interaction (HOI) detectio...
research
∙
06/18/2021
Multi-Granularity Network with Modal Attention for Dense Affective Understanding
Video affective understanding, which aims to predict the evoked expressi...
research
∙
04/05/2021
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
This paper introduces a dual-critic reinforcement learning (RL) framewor...
research
∙
09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
research
∙
07/15/2020
Augmented Bi-path Network for Few-shot Learning
Few-shot Learning (FSL) which aims to learn from few labeled training da...
research
∙
12/27/2007