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08/26/2023
Beyond One-to-One: Rethinking the Referring Image Segmentation
Referring image segmentation aims to segment the target object referred ...
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07/17/2023
Dense Affinity Matching for Few-Shot Segmentation
Few-Shot Segmentation (FSS) aims to segment the novel class images with ...
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07/01/2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Filter pruning simultaneously accelerates the computation and reduces th...
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05/08/2023
SegGPT Meets Co-Saliency Scene
Co-salient object detection targets at detecting co-existed salient obje...
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03/23/2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Multi-label recognition (MLR) with incomplete labels is very challenging...
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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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10/23/2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Transformer with its underlying attention mechanism and the ability to c...
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09/01/2022
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition
Recognizing human actions from point cloud videos has attracted tremendo...
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08/08/2022
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Video-text retrieval (VTR) is an attractive yet challenging task for mul...
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07/07/2022
Semi-supervised Object Detection via Virtual Category Learning
Due to the costliness of labelled data in real-world applications, semi-...
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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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03/29/2022
Hybrid Routing Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...
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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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01/11/2022
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID) has been challenging...
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01/07/2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Recent advances in machine learning and prevalence of digital medical im...
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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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09/03/2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
Semantic information provides intra-class consistency and inter-class di...
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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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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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04/23/2021
Middle-level Fusion for Lightweight RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) models require large ...
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04/23/2021
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
Most existing cross-modality person re-identification works rely on disc...
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04/05/2021
Few-Cost Salient Object Detection with Adversarial-Paced Learning
Detecting and segmenting salient objects from given image scenes has rec...
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03/29/2021
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images
Onfocus detection aims at identifying whether the focus of the individua...
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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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02/18/2021
Densely Nested Top-Down Flows for Salient Object Detection
With the goal of identifying pixel-wise salient object regions from each...
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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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12/28/2020
Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN
Due to the limitations of sensors, the transmission medium and the intri...
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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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03/08/2020
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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02/29/2020
NAS-Count: Counting-by-Density with Neural Architecture Search
Most of the recent advances in crowd counting have evolved from hand-des...
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10/24/2019
Aggregation Signature for Small Object Tracking
Small object tracking becomes an increasingly important task, which howe...
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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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09/08/2019
Meta-Transfer Networks for Zero-Shot Learning
Zero-Shot Learning (ZSL) aims at recognizing unseen categories using som...
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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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06/02/2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Pedestrian attribute recognition has received increasing attention due t...
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05/12/2019
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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04/20/2019
Saliency-Guided Attention Network for Image-Sentence Matching
This paper studies the task of matching image and sentence, where learni...
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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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01/27/2019
Pixelated Semantic Colorization
While many image colorization algorithms have recently shown the capabil...
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11/30/2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
The advancement of deep convolutional neural networks (DCNNs) has driven...
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08/05/2018
Pixel-level Semantics Guided Image Colorization
While many image colorization algorithms have recently shown the capabil...
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04/23/2018
Memory Attention Networks for Skeleton-based Action Recognition
Skeleton-based action recognition task is entangled with complex spatio-...
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04/01/2018
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Compression artifacts reduction (CAR) is a challenging problem in the fi...
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04/01/2018
The Structure Transfer Machine Theory and Applications
Representation learning is a fundamental but challenging problem, especi...
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02/06/2018
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
Zero-Shot Hashing aims at learning a hashing model that is trained only ...
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11/11/2017
Latent Constrained Correlation Filter
Correlation filters are special classifiers designed for shift-invariant...
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07/12/2017