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08/30/2023
DiffuVolume: Diffusion Model for Volume based Stereo Matching
Stereo matching is a significant part in many computer vision tasks and ...
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08/21/2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Incremental learning aims to overcome catastrophic forgetting when learn...
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08/18/2023
ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation
Recent sparse detectors with multiple, e.g. six, decoder layers achieve ...
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08/17/2023
Event-Guided Procedure Planning from Instructional Videos with Text Supervision
In this work, we focus on the task of procedure planning from instructio...
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08/13/2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Binarization of neural networks is a dominant paradigm in neural network...
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07/19/2023
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
Automated medical image classification is the key component in intellige...
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05/11/2023
Pyramid Texture Filtering
We present a simple but effective technique to smooth out textures while...
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04/09/2023
Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
Due to the modality gap between visible and infrared images with high vi...
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04/07/2023
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift
Vision Transformer (ViT) has shown great potential for various visual ta...
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02/03/2023
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
As a de facto solution, the vanilla Vision Transformers (ViTs) are encou...
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01/18/2023
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning
Current deep learning models often suffer from catastrophic forgetting o...
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09/22/2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Under the domain shift, cross-domain few-shot object detection aims to a...
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07/14/2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Data imbalance between common and rare diseases during model training of...
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07/11/2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Imbalanced training data is a significant challenge for medical image cl...
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07/06/2022
STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding
In this technical report, we introduce our solution to human-centric spa...
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07/04/2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
Accurate automated analysis of electroencephalography (EEG) would largel...
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06/22/2022
Weakly-supervised Action Localization via Hierarchical Mining
Weakly-supervised action localization aims to localize and classify acti...
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06/19/2022
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
Spiking neural networks are efficient computation models for low-power e...
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04/27/2022
Global Trajectory Helps Person Retrieval in a Camera Network
We are concerned about retrieving a query person from the videos taken b...
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04/19/2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
Deep neural network (DNN) suffers from catastrophic forgetting when lear...
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03/29/2022
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Object detection under imperfect data receives great attention recently....
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03/07/2022
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
The goal of unpaired image captioning (UIC) is to describe images withou...
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12/06/2021
Letter-level Online Writer Identification
Writer identification (writer-id), an important field in biometrics, aim...
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08/25/2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
Deep learning models have shown their superior performance in various vi...
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08/11/2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Successful continual learning of new knowledge would enable intelligent ...
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07/29/2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
Person re-identification (Re-ID) aims to match person images across non-...
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07/27/2021
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging...
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07/20/2021
Discriminator-Free Generative Adversarial Attack
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...
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04/29/2021
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Learning to re-identify or retrieve a group of people across non-overlap...
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04/28/2021
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Continual learning of new knowledge over time is one desirable capabilit...
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04/09/2021
Combined Depth Space based Architecture Search For Person Re-identification
Most works on person re-identification (ReID) take advantage of large ba...
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04/04/2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Weakly supervised video anomaly detection (WS-VAD) is to distinguish ano...
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12/10/2020
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Current training objectives of existing person Re-IDentification (ReID) ...
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10/20/2020
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
Human-object interaction(HOI) detection is an important task for underst...
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09/11/2020
Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID
Although Person Re-Identification has made impressive progress, difficul...
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08/16/2020
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
In the conventional person Re-ID setting, it is widely assumed that crop...
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08/13/2020
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
The objective of action quality assessment is to score sports videos. Ho...
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07/20/2020
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection
We address the weakly supervised video highlight detection problem for l...
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05/05/2020
Adaptive Interaction Modeling via Graph Operations Search
Interaction modeling is important for video action analysis. Recently, s...
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04/16/2020
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Important people detection is to automatically detect the individuals wh...
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02/27/2020
Weakly supervised discriminative feature learning with state information for person identification
Unsupervised learning of identity-discriminative visual feature is appea...
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02/06/2020
Person Re-identification by Contour Sketch under Moderate Clothing Change
Person re-identification (re-id), the process of matching pedestrian ima...
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10/31/2019
Weakly Supervised Tracklet Person Re-Identification by Deep Feature-wise Mutual Learning
The scalability problem caused by the difficulty in annotating Person Re...
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10/30/2019
Dual Illumination Estimation for Robust Exposure Correction
Exposure correction is one of the fundamental tasks in image processing ...
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10/21/2019
Batch Face Alignment using a Low-rank GAN
This paper studies the problem of aligning a set of face images of the s...
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09/30/2019
DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision
We focus on explicitly learning disentangled representation for natural ...
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07/26/2019
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
Most of current Convolution Neural Network (CNN) based methods for optic...
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07/25/2019
Enhancing Underexposed Photos using Perceptually Bidirectional Similarity
This paper addresses the problem of enhancing underexposed photos. Exist...
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07/01/2019
Cross-view Relation Networks for Mammogram Mass Detection
Mammogram is the most effective imaging modality for the mass lesion det...
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05/31/2019
