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08/23/2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
Existing shadow detection datasets often contain missing or mislabeled s...
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03/17/2023
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Video dehazing aims to recover haze-free frames with high visibility and...
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11/23/2022
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
LiDAR-produced point clouds are the major source for most state-of-the-a...
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11/23/2022
Video Instance Shadow Detection
Video instance shadow detection aims to simultaneously detect, segment, ...
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11/10/2022
Demystify Transformers Convolutions in Modern Image Deep Networks
Recent success of vision transformers has inspired a series of vision ba...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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07/30/2022
Learning Shadow Correspondence for Video Shadow Detection
Video shadow detection aims to generate consistent shadow predictions am...
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07/20/2022
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
In this paper, we present NUWA-Infinity, a generative model for infinite...
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07/11/2022
Instance Shadow Detection with A Single-Stage Detector
This paper formulates a new problem, instance shadow detection, which ai...
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06/20/2022
Dynamic Message Propagation Network for RGB-D Salient Object Detection
This paper presents a novel deep neural network framework for RGB-D sali...
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06/12/2022
GLIPv2: Unifying Localization and Vision-Language Understanding
We present GLIPv2, a grounded VL understanding model, that serves both l...
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05/27/2022
GIT: A Generative Image-to-text Transformer for Vision and Language
In this paper, we design and train a Generative Image-to-text Transforme...
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05/19/2022
Spatial Autoregressive Coding for Graph Neural Recommendation
Graph embedding methods including traditional shallow models and deep Gr...
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04/20/2022
K-LITE: Learning Transferable Visual Models with External Knowledge
Recent state-of-the-art computer vision systems are trained from natural...
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01/21/2022
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation
Generalizing the medical image segmentation algorithms tounseen domains ...
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12/09/2021
Injecting Semantic Concepts into End-to-End Image Captioning
Tremendous progress has been made in recent years in developing better i...
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11/24/2021
Scaling Up Vision-Language Pre-training for Image Captioning
In recent years, we have witnessed significant performance boost in the ...
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11/23/2021
Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling
In this paper, we propose UNICORN, a vision-language (VL) model that uni...
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11/19/2021
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
In this paper, we propose a single UniFied transfOrmer (UFO), which is c...
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09/10/2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Knowledge-based visual question answering (VQA) involves answering quest...
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04/05/2021
Compressing Visual-linguistic Model via Knowledge Distillation
Despite exciting progress in pre-training for visual-linguistic (VL) rep...
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04/05/2021
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Automatic breast lesion segmentation in ultrasound helps to diagnose bre...
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02/05/2021
Deep Texture-Aware Features for Camouflaged Object Detection
Camouflaged object detection is a challenging task that aims to identify...
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01/07/2021
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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01/02/2021
VinVL: Making Visual Representations Matter in Vision-Language Models
This paper presents a detailed study of improving visual representations...
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12/13/2020
MiniVLM: A Smaller and Faster Vision-Language Model
Recent vision-language (VL) studies have shown remarkable progress by le...
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09/28/2020
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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04/13/2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations...
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12/23/2019
GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
Existing augmented reality (AR) applications often ignore occlusion betw...
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11/16/2019
Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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11/16/2019
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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11/04/2019
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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07/03/2019
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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07/03/2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
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03/26/2019
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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03/25/2019
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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05/12/2018
Direction-aware Spatial Context Features for Shadow Detection and Removal
Shadow detection and shadow removal are fundamental and challenging task...
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04/02/2018
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Vision-based vehicle detection approaches achieve incredible success in ...
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12/12/2017
Direction-aware Spatial Context Features for Shadow Detection
Shadow detection is a fundamental and challenging task, since it require...
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12/07/2016
Richer Convolutional Features for Edge Detection
In this paper, we propose an accurate edge detector using richer convolu...
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09/22/2016
