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07/18/2023
RepViT: Revisiting Mobile CNN From ViT Perspective
Recently, lightweight Vision Transformers (ViTs) demonstrate superior pe...
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04/30/2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Recently, transformers have shown strong ability as visual feature extra...
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03/23/2023
Box-Level Active Detection
Active learning selects informative samples for annotation within budget...
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02/04/2023
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification
Currently, most existing person re-identification methods use Instance-L...
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11/22/2022
Confidence-guided Centroids for Unsupervised Person Re-Identification
Unsupervised person re-identification (ReID) aims to train a feature ext...
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11/03/2022
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection
The ground plane prior is a very informative geometry clue in monocular ...
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05/30/2022
Re-parameterizing Your Optimizers rather than Architectures
The well-designed structures in neural networks reflect the prior knowle...
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05/06/2022
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets
Supervised person re-identification methods rely heavily on high-quality...
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04/02/2022
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets
A series of unsupervised video-based re-identification (re-ID) methods h...
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03/13/2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
We revisit large kernel design in modern convolutional neural networks (...
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12/28/2021
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
Nowadays, real data in person re-identification (ReID) task is facing pr...
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12/21/2021
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
Compared to convolutional layers, fully-connected (FC) layers are better...
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09/19/2021
LODE: Deep Local Deblurring and A New Benchmark
While recent deep deblurring algorithms have achieved remarkable progres...
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08/18/2021
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies
Humans are emotional creatures. Multiple modalities are often involved w...
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07/30/2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
The existence of redundancy in Convolutional Neural Networks (CNNs) enab...
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06/30/2021
Affective Image Content Analysis: Two Decades Review and New Perspectives
Images can convey rich semantics and induce various emotions in viewers....
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05/05/2021
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
We propose RepMLP, a multi-layer-perceptron-style neural network buildin...
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03/24/2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
We propose a universal building block of Convolutional Neural Network (C...
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03/19/2021
Computational Emotion Analysis From Images: Recent Advances and Future Directions
Emotions are usually evoked in humans by images. Recently, extensive res...
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01/14/2021
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
The COVID-19 pandemic has spread globally for several months. Because it...
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01/11/2021
RepVGG: Making VGG-style ConvNets Great Again
We present a simple but powerful architecture of convolutional neural ne...
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11/25/2020
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Thanks to large-scale labeled training data, deep neural networks (DNNs)...
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07/07/2020
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
Channel pruning (a.k.a. filter pruning) aims to slim down a convolutiona...
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06/17/2020
Shallow Feature Based Dense Attention Network for Crowd Counting
While the performance of crowd counting via deep learning has been impro...
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03/10/2020
PANDA: A Gigapixel-level Human-centric Video Dataset
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset,...
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03/08/2020
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
Enabling bi-directional retrieval of images and texts is important for u...
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01/06/2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
In real-world scenarios, data tends to exhibit a long-tailed, imbalanced...
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09/27/2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Deep Neural Network (DNN) is powerful but computationally expensive and ...
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09/11/2019
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression
Existing methods on visual emotion analysis mainly focus on coarse-grain...
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08/11/2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
As designing appropriate Convolutional Neural Network (CNN) architecture...
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07/12/2019
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
The dominant approaches for named entity recognition (NER) mostly adopt ...
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06/02/2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Pedestrian attribute recognition has received increasing attention due t...
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05/28/2019
Adaptive Region Embedding for Text Classification
Deep learning models such as convolutional neural networks and recurrent...
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05/12/2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
It is not easy to design and run Convolutional Neural Networks (CNNs) du...
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04/08/2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
The redundancy is widely recognized in Convolutional Neural Networks (CN...
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05/04/2017