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08/27/2023
Towards Unified Token Learning for Vision-Language Tracking
In this paper, we present a simple, flexible and effective vision-langua...
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04/03/2023
Rethinking Context Aggregation in Natural Image Matting
For natural image matting, context information plays a crucial role in e...
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03/11/2022
Visualizing and Understanding Patch Interactions in Vision Transformer
Vision Transformer (ViT) has become a leading tool in various computer v...
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04/25/2021
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
A practical long-term tracker typically contains three key properties, i...
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04/02/2021
Learning to Filter: Siamese Relation Network for Robust Tracking
Despite the great success of Siamese-based trackers, their performance u...
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05/08/2020
Projection Probability-Driven Black-Box Attack
Generating adversarial examples in a black-box setting retains a signifi...
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04/24/2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Unsupervised domain adaptation has attracted growing research attention ...
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03/15/2020
Siamese Box Adaptive Network for Visual Tracking
Most of the existing trackers usually rely on either a multi-scale searc...
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03/24/2019
Residual Non-local Attention Networks for Image Restoration
In this paper, we propose a residual non-local attention network for hig...
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03/06/2019
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Consider the lifelong learning paradigm whose objective is to learn a se...
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12/25/2018
Residual Dense Network for Image Restoration
Convolutional neural network has recently achieved great success for ima...
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07/08/2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Convolutional neural network (CNN) depth is of crucial importance for im...
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05/23/2018
Predictive Local Smoothness for Stochastic Gradient Methods
Stochastic gradient methods are dominant in nonconvex optimization espec...
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02/24/2018
Residual Dense Network for Image Super-Resolution
A very deep convolutional neural network (CNN) has recently achieved gre...
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03/25/2016
