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06/20/2023
CAMP-Net: Context-Aware Multi-Prior Network for Accelerated MRI Reconstruction
Despite promising advances in deep learning-based MRI reconstruction met...
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04/08/2023
GANHead: Towards Generative Animatable Neural Head Avatars
To bring digital avatars into people's lives, it is highly demanded to e...
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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...
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11/21/2022
Video Background Music Generation: Dataset, Method and Evaluation
Music is essential when editing videos, but selecting music manually is ...
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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...
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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...
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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...
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05/24/2022
Context Attention Network for Skeleton Extraction
Skeleton extraction is a task focused on providing a simple representati...
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05/09/2022
Single-Image 3D Face Reconstruction under Perspective Projection
In 3D face reconstruction, orthogonal projection has been widely employe...
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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...
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12/14/2021
Weakly Supervised High-Fidelity Clothing Model Generation
The development of online economics arouses the demand of generating ima...
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08/11/2021
Mining the Benefits of Two-stage and One-stage HOI Detection
Two-stage methods have dominated Human-Object Interaction (HOI) detectio...
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06/18/2021
Multi-Granularity Network with Modal Attention for Dense Affective Understanding
Video affective understanding, which aims to predict the evoked expressi...
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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...
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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...
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07/15/2020
Augmented Bi-path Network for Few-shot Learning
Few-shot Learning (FSL) which aims to learn from few labeled training da...
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12/27/2007
