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06/29/2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition
Long-tailed visual recognition has received increasing attention in rece...
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06/27/2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Neural architecture search (NAS) proves to be among the effective approa...
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04/01/2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
The recent detection transformer (DETR) has advanced object detection, b...
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12/11/2022
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
Facial Expression Recognition (FER) in the wild is an extremely challeng...
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10/13/2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
The large pre-trained vision transformers (ViTs) have demonstrated remar...
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10/03/2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
No-reference image quality assessment (NR-IQA) aims to quantify how huma...
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09/28/2022
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention
Vision transformer has emerged as a new paradigm in computer vision, sho...
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09/04/2022
Recurrent Bilinear Optimization for Binary Neural Networks
Binary Neural Networks (BNNs) show great promise for real-world embedded...
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08/27/2022
Anti-Retroactive Interference for Lifelong Learning
Humans can continuously learn new knowledge. However, machine learning m...
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05/29/2022
SKFlow: Learning Optical Flow with Super Kernels
Optical flow estimation is a classical yet challenging task in computer ...
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04/28/2022
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
Current semi-supervised semantic segmentation methods mainly focus on de...
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04/27/2022
CATrans: Context and Affinity Transformer for Few-Shot Segmentation
Few-shot segmentation (FSS) aims to segment novel categories given scarc...
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03/29/2022
Nested Collaborative Learning for Long-Tailed Visual Recognition
The networks trained on the long-tailed dataset vary remarkably, despite...
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03/26/2022
Feature Selective Transformer for Semantic Image Segmentation
Recently, it has attracted more and more attentions to fuse multi-scale ...
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03/24/2022
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
Facial expression recognition plays an important role in human-computer ...
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03/24/2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Energy-based latent variable models (EBLVMs) are more expressive than co...
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03/20/2022
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
This paper presents a new vision Transformer, named Iwin Transformer, wh...
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03/20/2022
End-to-End Human-Gaze-Target Detection with Transformers
In this paper, we propose an effective and efficient method for Human-Ga...
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03/17/2022
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Research on the generalization ability of deep neural networks (DNNs) ha...
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03/08/2022
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention
Recently, Transformers have shown promising performance in various visio...
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12/28/2021
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Recently, Transformers have shown promising performance in various visio...
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12/28/2021
Associative Adversarial Learning Based on Selective Attack
A human's attention can intuitively adapt to corrupted areas of an image...
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11/26/2021
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Real-time point cloud processing is fundamental for lots of computer vis...
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10/25/2021
LAE : Long-tailed Age Estimation
Facial age estimation is an important yet very challenging problem in co...
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09/01/2021
Sparse to Dense Motion Transfer for Face Image Animation
Face image animation from a single image has achieved remarkable progres...
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08/25/2021
TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Facial expression recognition (FER) has received increasing interest in ...
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08/16/2021
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
The threat of 3D masks to face recognition systems is increasingly serio...
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07/24/2021
Self-Conditioned Probabilistic Learning of Video Rescaling
Bicubic downscaling is a prevalent technique used to reduce the video st...
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07/22/2021
EAN: Event Adaptive Network for Enhanced Action Recognition
Efficiently modeling spatial-temporal information in videos is crucial f...
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06/08/2021
Fully Transformer Networks for Semantic Image Segmentation
Transformers have shown impressive performance in various natural langua...
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05/31/2021
Image-to-Video Generation via 3D Facial Dynamics
We present a versatile model, FaceAnime, for various video generation ta...
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03/30/2021
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
The objective of this paper is to learn context- and depth-aware feature...
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01/21/2021
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...
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09/14/2020
GINet: Graph Interaction Network for Scene Parsing
Recently, context reasoning using image regions beyond local convolution...
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09/08/2020
Binarized Neural Architecture Search for Efficient Object Recognition
Traditional neural architecture search (NAS) has a significant impact in...
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06/23/2020
iffDetector: Inference-aware Feature Filtering for Object Detection
Modern CNN-based object detectors focus on feature configuration during ...
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06/22/2020
Self-supervised Video Object Segmentation
The objective of this paper is self-supervised representation learning, ...
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06/16/2020
Cogradient Descent for Bilinear Optimization
Conventional learning methods simplify the bilinear model by regarding t...
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05/12/2020
3D Face Anti-spoofing with Factorized Bilinear Coding
We have witnessed rapid advances in both face presentation attack models...
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12/05/2019
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Regardless of the usage of deep learning and handcrafted methods, the dy...
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12/03/2019
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
In the era of multimedia and Internet, people are eager to obtain inform...
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11/25/2019
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Training 1-bit deep convolutional neural networks (DCNNs) is one of the ...
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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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10/22/2019
Face Detection on Surveillance Images
In last few decades, a lot of progress has been made in the field of fac...
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09/25/2019
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Pedestrian detection has achieved significant progress with the availabi...
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08/21/2019
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Binarized convolutional neural networks (BCNNs) are widely used to impro...
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08/17/2019
Bayesian Optimized 1-Bit CNNs
Deep convolutional neural networks (DCNNs) have dominated the recent dev...
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07/29/2019
Consensus Feature Network for Scene Parsing
Scene parsing is challenging as it aims to assign one of the semantic ca...
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07/29/2019
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twic...
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07/26/2019
