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09/16/2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Federated Learning (FL) has emerged as a promising approach to enable co...
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07/28/2023
Prompt Guided Transformer for Multi-Task Dense Prediction
Task-conditional architecture offers advantage in parameter efficiency b...
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07/03/2023
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
Most existing ultra-high resolution (UHR) segmentation methods always st...
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06/15/2023
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
To overcome the domain gap between synthetic and real-world datasets, un...
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05/18/2023
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
With the increasing interest and rapid development of methods for Ultra-...
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05/06/2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Existing knowledge distillation works for semantic segmentation mainly f...
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04/21/2023
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
Detection of human body and its parts (e.g., head or hands) has been int...
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02/02/2023
A Simple Baseline for Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
Existing head pose estimation (HPE) mainly focuses on single person with...
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01/15/2023
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
In this work, we investigate a simple and must-known conditional generat...
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12/15/2022
Body-Part Joint Detection and Association via Extended Object Representation
The detection of human body and its related parts (e.g., face, head or h...
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12/07/2022
An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation
Most recent head pose estimation (HPE) methods are dominated by the Eule...
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11/19/2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
The message-passing scheme is the core of graph representation learning....
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11/06/2022
StuArt: Individualized Classroom Observation of Students with Automatic Behavior Recognition and Tracking
Each student matters, but it is hardly for instructors to observe all th...
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11/04/2022
SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
Domain adaptive object detection (DAOD) aims to alleviate transfer perfo...
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11/01/2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Data-efficient learning on graphs (GEL) is essential in real-world appli...
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10/28/2022
Completely Heterogeneous Federated Learning
Federated learning (FL) faces three major difficulties: cross-domain, he...
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10/27/2022
Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding
Human body orientation estimation (HBOE) is widely applied into various ...
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10/13/2022
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
The normalizing layer has become one of the basic configurations of deep...
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10/04/2022
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
In this work we address multi-target domain adaptation (MTDA) in semanti...
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05/03/2022
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer
Learning scene flow from a monocular camera still remains a challenging ...
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02/22/2022
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting
Fully-supervised crowd counting is a laborious task due to the large amo...
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02/19/2022
student dangerous behavior detection in school
Video surveillance systems have been installed to ensure the student saf...
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12/01/2021
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
Utilizing trimap guidance and fusing multi-level features are two import...
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11/21/2021
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
Single image super-resolution(SISR) is an ill-posed problem that aims to...
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10/31/2021
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
Crowd counting aims to learn the crowd density distributions and estimat...
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03/19/2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Sequential recommendation as an emerging topic has attracted increasing ...
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09/01/2020
Temporal Continuity Based Unsupervised Learning for Person Re-Identification
Person re-identification (re-id) aims to match the same person from imag...
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06/07/2020
Learning Texture Transformer Network for Image Super-Resolution
We study on image super-resolution (SR), which aims to recover realistic...
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06/04/2020
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation
The recent development of light-weighted neural networks has promoted th...
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04/07/2020
Hierarchical Opacity Propagation for Image Matting
Natural image matting is a fundamental problem in computational photogra...
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01/15/2020
Show, Recall, and Tell: Image Captioning with Recall Mechanism
Generating natural and accurate descriptions in image cap-tioning has al...
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01/13/2020
Natural Image Matting via Guided Contextual Attention
Over the last few years, deep learning based approaches have achieved ou...
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05/16/2019
Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices
Recently, significant progress has been achieved in deep image matting. ...
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05/16/2019
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
There are many factors affecting visual face recognition, such as low re...
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05/06/2019
A multimodal lossless coding method for skeletons in videos
Nowadays, skeleton information in videos plays an important role in huma...
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04/05/2019
Spatial Shortcut Network for Human Pose Estimation
Like many computer vision problems, human pose estimation is a challengi...
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01/01/2019
Rethinking on Multi-Stage Networks for Human Pose Estimation
Existing pose estimation approaches can be categorized into single-stage...
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12/08/2018
Attend More Times for Image Captioning
Most attention-based image captioning models attend to the image once pe...
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12/02/2017
Supervised Hashing based on Energy Minimization
Recently, supervised hashing methods have attracted much attention since...
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03/28/2017
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination
Sparse coding (SC) is an automatic feature extraction and selection tech...
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03/27/2017
Graph Regularized Tensor Sparse Coding for Image Representation
Sparse coding (SC) is an unsupervised learning scheme that has received ...
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10/30/2016
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search
Recent advance of large scale similarity search involves using deeply le...
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09/21/2016
Multi-View Constraint Propagation with Consensus Prior Knowledge
In many applications, the pairwise constraint is a kind of weaker superv...
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09/20/2016
Deep CTR Prediction in Display Advertising
Click through rate (CTR) prediction of image ads is the core task of onl...
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11/13/2015
Adaptive Affinity Matrix for Unsupervised Metric Learning
Spectral clustering is one of the most popular clustering approaches wit...
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07/06/2015