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03/03/2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Diffusion models (DMs) have become the new trend of generative models an...
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02/09/2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Diffusion probabilistic models (DPMs) have demonstrated a very promising...
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01/10/2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Talking head synthesis is a promising approach for the video production ...
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07/28/2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Recent progress in vision Transformers exhibits great success in various...
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07/04/2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks
In this paper, we present a new approach for model acceleration by explo...
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12/02/2021
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Recent progress has shown that large-scale pre-training using contrastiv...
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08/17/2021
Group-aware Contrastive Regression for Action Quality Assessment
Assessing action quality is challenging due to the subtle differences be...
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08/12/2021
Towards Interpretable Deep Metric Learning with Structural Matching
How do the neural networks distinguish two images? It is of critical imp...
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07/01/2021
Global Filter Networks for Image Classification
Recent advances in self-attention and pure multi-layer perceptrons (MLP)...
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06/03/2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Attention is sparse in vision transformers. We observe the final predict...
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06/09/2018