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08/24/2023
Ground-to-Aerial Person Search: Benchmark Dataset and Approach
In this work, we construct a large-scale dataset for Ground-to-Aerial Pe...
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06/27/2023
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames
This paper makes the first attempt to tackle the challenging task of rec...
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05/29/2023
Learning Conditional Attributes for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to train models to recogniz...
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05/24/2023
Learning INR for Event-guided Rolling Shutter Frame Correction, Deblur, and Interpolation
Images captured by rolling shutter (RS) cameras under fast camera motion...
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04/16/2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Non-exemplar class-incremental learning refers to classifying new and ol...
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02/16/2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
To imitate the ability of keeping learning of human, continual learning ...
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02/01/2023
Multispectral Pedestrian Detection via Reference Box Constrained Cross Attention and Modality Balanced Optimization
Multispectral pedestrian detection is an important task for many around-...
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08/17/2022
Class-Aware Visual Prompt Tuning for Vision-Language Pre-Trained Model
With the emergence of large pre-trained vison-language model like CLIP, ...
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05/24/2021
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network
With the explosive growth of video data, video summarization, which atte...
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03/29/2021
An Adversarial Human Pose Estimation Network Injected with Graph Structure
Because of the invisible human keypoints in images caused by illuminatio...
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09/15/2020
Same data may bring conflict results: a caution to use the disruptive index
In the last two decades, scholars have designed various types of bibliog...
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06/10/2019