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Incorporating Vision Bias into Click Models for Image-oriented Search Engine
Most typical click models assume that the probability of a document to b...
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VinVL: Making Visual Representations Matter in Vision-Language Models
This paper presents a detailed study of improving visual representations...
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MiniVLM: A Smaller and Faster Vision-Language Model
Recent vision-language (VL) studies have shown remarkable progress by le...
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VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training
It is highly desirable yet challenging to generate image captions that c...
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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations...
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GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
Existing augmented reality (AR) applications often ignore occlusion betw...
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Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
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Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Brain image registration transforms a pair of images into one system wit...
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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
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Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
This paper presents a new method for shadow removal using unpaired data,...
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SAC-Net: Spatial Attenuation Context for Salient Object Detection
This paper presents a new deep neural network design for salient object ...
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Direction-aware Spatial Context Features for Shadow Detection and Removal
Shadow detection and shadow removal are fundamental and challenging task...
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SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Vision-based vehicle detection approaches achieve incredible success in ...
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Direction-aware Spatial Context Features for Shadow Detection
Shadow detection is a fundamental and challenging task, since it require...
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Richer Convolutional Features for Edge Detection
In this paper, we propose an accurate edge detector using richer convolu...
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(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
Algorithms for bandit convex optimization and online learning often rely...
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