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03/09/2023
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking
Masked Autoencoders (MAE) have been popular paradigms for large-scale vi...
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03/02/2023
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation
One-to-one matching is a crucial design in DETR-like object detection fr...
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07/19/2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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05/28/2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Masked Autoencoders (MAE) have shown great potentials in self-supervised...
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04/05/2022
RBGNet: Ray-based Grouping for 3D Object Detection
As a fundamental problem in computer vision, 3D object detection is expe...
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11/06/2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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04/02/2020
Learning Longterm Representations for Person Re-Identification Using Radio Signals
Person Re-Identification (ReID) aims to recognize a person-of-interest a...
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10/20/2019
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
Radiomics analysis has achieved great success in recent years. However, ...
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02/28/2019