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07/14/2023
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Occlusion perturbation presents a significant challenge in person re-ide...
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06/12/2023
LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement
We present an effective and efficient approach for low-light image enhan...
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05/09/2023
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) models relying on class a...
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04/18/2023
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Thanks to the advantages of the friendly annotations and the satisfactor...
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04/17/2023
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
In this paper, we propose a Vision-Audio-Language Omni-peRception pretra...
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03/17/2023
Semantic Scene Completion with Cleaner Self
Semantic Scene Completion (SSC) transforms an image of single-view depth...
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02/27/2023
Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
Although numerous solutions have been proposed for image super-resolutio...
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01/23/2023
Triplet Contrastive Learning for Unsupervised Vehicle Re-identification
Part feature learning is a critical technology for finegrained semantic ...
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12/05/2022
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization
How to effectively explore the colors of reference exemplars and propaga...
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11/21/2022
SLLEN: Semantic-aware Low-light Image Enhancement Network
How to effectively explore semantic feature is vital for low-light image...
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10/19/2022
CLIP-Driven Fine-grained Text-Image Person Re-identification
TIReID aims to retrieve the image corresponding to the given text query ...
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10/05/2022
Centralized Feature Pyramid for Object Detection
Visual feature pyramid has shown its superiority in both effectiveness a...
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10/04/2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-...
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09/23/2022
Accurate and Efficient Stereo Matching via Attention Concatenation Volume
Stereo matching is a fundamental building block for many vision and robo...
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09/21/2022
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
Over the past few years, the rapid development of deep learning technolo...
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09/20/2022
Graph Reasoning Transformer for Image Parsing
Capturing the long-range dependencies has empirically proven to be effec...
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08/30/2022
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Text-based person search is a challenging task that aims to search pedes...
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07/18/2022
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Optical flow is an easily conceived and precious cue for advancing unsup...
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05/31/2022
A Competitive Method for Dog Nose-print Re-identification
Vision-based pattern identification (such as face, fingerprint, iris etc...
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05/30/2022
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
Lightweight and efficiency are critical drivers for the practical applic...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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04/20/2021
CTNet: Context-based Tandem Network for Semantic Segmentation
Contextual information has been shown to be powerful for semantic segmen...
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09/26/2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
We present a causal inference framework to improve Weakly-Supervised Sem...
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07/18/2020
Feature Pyramid Transformer
Feature interactions across space and scales underpin modern visual reco...
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04/06/2020
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
We present a simple and effective deep convolutional neural network (CNN...
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03/10/2020
Deep Blind Video Super-resolution
Existing video super-resolution (SR) algorithms usually assume that the ...
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11/05/2019
Adaptive Context Network for Scene Parsing
Recent works attempt to improve scene parsing performance by exploring d...
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09/29/2019
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Human motion prediction aims to generate future motions based on the obs...
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08/18/2019
Image Formation Model Guided Deep Image Super-Resolution
We present a simple and effective image super-resolution algorithm that ...
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08/06/2019
Aligning Linguistic Words and Visual Semantic Units for Image Captioning
Image captioning attempts to generate a sentence composed of several lin...
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08/01/2019
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Image paragraph generation is the task of producing a coherent story (us...
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06/26/2019
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
As the core of recommender system, collaborative filtering (CF) models t...
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05/25/2019
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Constrained Concept Factorization (CCF) yields the enhanced representati...
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02/02/2019
Supervised Quantization for Similarity Search
In this paper, we address the problem of searching for semantically simi...
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01/09/2019
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval
Hashing has been widely applied to multimodal retrieval on large-scale m...
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11/11/2018
Fast Matrix Factorization with Non-Uniform Weights on Missing Data
Matrix factorization (MF) has been widely used to discover the low-rank ...
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11/01/2018
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
In this paper, we aim to address the problem of human interaction recogn...
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09/19/2018
Adversarial Training Towards Robust Multimedia Recommender System
With the prevalence of multimedia content on the Web, developing recomme...
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08/12/2018
Outer Product-based Neural Collaborative Filtering
In this work, we contribute a new multi-layer neural network architectur...
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08/02/2018
Physics-Based Generative Adversarial Models for Image Restoration and Beyond
We present an algorithm to directly solve numerous image restoration pro...
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05/14/2018
Learning Dual Convolutional Neural Networks for Low-Level Vision
In this paper, we propose a general dual convolutional neural network (D...
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05/07/2018
Deep Ordinal Hashing with Spatial Attention
Hashing has attracted increasing research attentions in recent years due...
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04/12/2018
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
Image retagging aims to improve tag quality of social images by refining...
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02/28/2018
Hardware-Efficient Guided Image Filtering For Multi-Label Problem
The Guided Filter (GF) is well-known for its linear complexity. However,...
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12/15/2017
On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization
The use of multichannel data in estimating a set of frequencies is commo...
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06/14/2017
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification
Videos are inherently multimodal. This paper studies the problem of how ...
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06/04/2017
Personalized Age Progression with Bi-level Aging Dictionary Learning
Age progression is defined as aesthetically re-rendering the aging face ...
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06/03/2017
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition
Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...
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01/27/2016
Deep Learning Driven Visual Path Prediction from a Single Image
Capabilities of inference and prediction are significant components of v...
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01/18/2015