research
∙
09/14/2023
DePT: Decoupled Prompt Tuning
This work breaks through the Base-New Tradeoff (BNT)dilemma in prompt tu...
share
research
∙
08/29/2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
Unsupervised anomaly detection (UAD) attracts a lot of research interest...
research
∙
08/23/2023
CIParsing: Unifying Causality Properties into Multiple Human Parsing
Existing methods of multiple human parsing (MHP) apply statistical model...
research
∙
08/20/2023
From Global to Local: Multi-scale Out-of-distribution Detection
Out-of-distribution (OOD) detection aims to detect "unknown" data whose ...
research
∙
08/10/2023
Informative Scene Graph Generation via Debiasing
Scene graph generation aims to detect visual relationship triplets, (sub...
research
∙
08/07/2023
Part-Aware Transformer for Generalizable Person Re-identification
Domain generalization person re-identification (DG-ReID) aims to train a...
research
∙
05/17/2023
CageViT: Convolutional Activation Guided Efficient Vision Transformer
Recently, Transformers have emerged as the go-to architecture for both v...
research
∙
03/13/2023
Prototype-based Embedding Network for Scene Graph Generation
Current Scene Graph Generation (SGG) methods explore contextual informat...
research
∙
03/11/2023
DETA: Denoised Task Adaptation for Few-Shot Learning
Test-time task adaptation in few-shot learning aims to adapt a pre-train...
research
∙
03/10/2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Due to the gap between a substitute model and a victim model, the gradie...
research
∙
01/28/2023
A Closer Look at Few-shot Classification Again
Few-shot classification consists of a training phase where a model is le...
research
∙
12/17/2022
Hyperbolic Hierarchical Contrastive Hashing
Hierarchical semantic structures, naturally existing in real-world datas...
research
∙
11/17/2022
Progressive Tree-Structured Prototype Network for End-to-End Image Captioning
Studies of image captioning are shifting towards a trend of a fully end-...
research
∙
10/12/2022
A Lower Bound of Hash Codes' Performance
As a crucial approach for compact representation learning, hashing has a...
research
∙
10/05/2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Unrestricted color attacks, which manipulate semantically meaningful col...
research
∙
08/27/2022
RepParser: End-to-End Multiple Human Parsing with Representative Parts
Existing methods of multiple human parsing usually adopt a two-stage str...
research
∙
08/17/2022
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
Scene graph generation (SGG) is a fundamental task aimed at detecting vi...
research
∙
07/12/2022
Frequency Domain Model Augmentation for Adversarial Attack
For black-box attacks, the gap between the substitute model and the vict...
research
∙
07/11/2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
The performance of current Scene Graph Generation (SGG) models is severe...
research
∙
06/30/2022
Skeleton-based Action Recognition via Adaptive Cross-Form Learning
Skeleton-based action recognition aims to project skeleton sequences to ...
research
∙
06/23/2022
Learning To Generate Scene Graph from Head to Tail
Scene Graph Generation (SGG) represents objects and their interactions w...
research
∙
06/21/2022
KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing
Part-level attribute parsing is a fundamental but challenging task, whic...
research
∙
06/21/2022
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
Human densepose estimation, aiming at establishing dense correspondences...
research
∙
06/04/2022
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
Recently, attention-based Visual Question Answering (VQA) has achieved g...
research
∙
06/02/2022
Structured Two-stream Attention Network for Video Question Answering
To date, visual question answering (VQA) (i.e., image QA and video QA) i...
research
∙
05/19/2022
Support-set based Multi-modal Representation Enhancement for Video Captioning
Video captioning is a challenging task that necessitates a thorough comp...
research
∙
04/06/2022
Fine-Grained Predicates Learning for Scene Graph Generation
The performance of current Scene Graph Generation models is severely ham...
research
∙
03/21/2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Modeling latent variables with priors and hyperpriors is an essential pr...
research
∙
03/10/2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Defense models against adversarial attacks have grown significantly, but...
research
∙
03/09/2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
In recent years, the adversarial vulnerability of deep neural networks (...
research
∙
02/22/2022
Relation Regularized Scene Graph Generation
Scene graph generation (SGG) is built on top of detected objects to pred...
research
∙
02/22/2022
One-shot Scene Graph Generation
As a structured representation of the image content, the visual scene gr...
research
∙
11/05/2021
Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
Part-level Action Parsing aims at part state parsing for boosting action...
research
∙
10/25/2021
Fast Gradient Non-sign Methods
Adversarial attacks make their success in fooling DNNs and among them, g...
research
∙
08/30/2021
From General to Specific: Informative Scene Graph Generation via Balance Adjustment
The scene graph generation (SGG) task aims to detect visual relationship...
research
∙
08/20/2021
Unsupervised Domain-adaptive Hash for Networks
Abundant real-world data can be naturally represented by large-scale net...
research
∙
08/20/2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation
Learning accurate low-dimensional embeddings for a network is a crucial ...
research
∙
08/19/2021
Semantic Compositional Learning for Low-shot Scene Graph Generation
Scene graphs provide valuable information to many downstream tasks. Many...
research
∙
08/19/2021
Exploiting Scene Graphs for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is a fundamental visual task ai...
research
∙
05/25/2021
Feature Space Targeted Attacks by Statistic Alignment
By adding human-imperceptible perturbations to images, DNNs can be easil...
research
∙
04/20/2021
Staircase Sign Method for Boosting Adversarial Attacks
Crafting adversarial examples for the transfer-based attack is challengi...
research
∙
12/31/2020
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Although great progress has been made on adversarial attacks for deep ne...
research
∙
07/14/2020
Patch-wise Attack for Fooling Deep Neural Network
By adding human-imperceptible noise to clean images, the resultant adver...
research
∙
06/13/2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Despite the huge progress in scene graph generation in recent years, its...
research
∙
03/31/2020
Binary Neural Networks: A Survey
The binary neural network, largely saving the storage and computation, s...
research
∙
09/24/2019
IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks
Weight and activation binarization is an effective approach to deep neur...
research
∙
08/12/2019
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
A major challenge in matching images and text is that they have intrinsi...
research
∙
07/01/2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
With the recent explosive increase of digital data, image recognition an...
research
∙
06/28/2019
Localizing Unseen Activities in Video via Image Query
Action localization in untrimmed videos is an important topic in the fie...
research
∙
06/28/2019
