research
∙
09/18/2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
Deep neural networks (DNNs) have achieved state-of-the-art performance o...
share
research
∙
09/18/2023
Reducing Adversarial Training Cost with Gradient Approximation
Deep learning models have achieved state-of-the-art performances in vari...
research
∙
08/23/2023
Efficient Transfer Learning in Diffusion Models via Adversarial Noise
Diffusion Probabilistic Models (DPMs) have demonstrated substantial prom...
research
∙
08/23/2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Diffusion probabilistic models (DPMs) have been shown to generate high-q...
research
∙
08/23/2023
A Benchmark Study on Calibration
Deep neural networks are increasingly utilized in various machine learni...
research
∙
08/21/2023
CoNe: Contrast Your Neighbours for Supervised Image Classification
Image classification is a longstanding problem in computer vision and ma...
research
∙
08/13/2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Semi-Supervised image classification is one of the most fundamental prob...
research
∙
07/29/2023
Fingerprints of Generative Models in the Frequency Domain
It is verified in existing works that CNN-based generative models leave ...
research
∙
07/25/2023
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
Human-Object Interaction (HOI) detection is a challenging computer visio...
research
∙
07/16/2023
Programming by Example Made Easy
Programming by example (PBE) is an emerging programming paradigm that au...
research
∙
07/16/2023
Neural Architecture Retrieval
With the increasing number of new neural architecture designs and substa...
research
∙
06/29/2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is lear...
research
∙
06/07/2023
GPT Self-Supervision for a Better Data Annotator
The task of annotating data into concise summaries poses a significant c...
research
∙
06/05/2023
Stable Diffusion is Unstable
Recently, text-to-image models have been thriving. Despite their powerfu...
research
∙
05/25/2023
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale
The tremendous success of large models trained on extensive datasets dem...
research
∙
05/23/2023
Dual Focal Loss for Calibration
The use of deep neural networks in real-world applications require well-...
research
∙
05/16/2023
AMD: Autoregressive Motion Diffusion
Human motion generation aims to produce plausible human motion sequences...
research
∙
04/24/2023
Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis
Over the past decades, context sensitivity has been considered as one of...
research
∙
04/21/2023
Can GPT-4 Perform Neural Architecture Search?
We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Arch...
research
∙
04/18/2023
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Detecting arbitrarily oriented tiny objects poses intense challenges to ...
research
∙
03/31/2023
Diffusion Action Segmentation
Temporal action segmentation is crucial for understanding long-form vide...
research
∙
03/16/2023
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
Existing methods of multi-person video 3D human Pose and Shape Estimatio...
research
∙
02/21/2023
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection
Facial forgery detection is a crucial but extremely challenging topic, w...
research
∙
02/13/2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Adversarial imitation learning has become a widely used imitation learni...
research
∙
02/13/2023
Calibrating a Deep Neural Network with Its Predecessors
Confidence calibration - the process to calibrate the output probability...
research
∙
02/13/2023
Anti-Compression Contrastive Facial Forgery Detection
Forgery facial images and videos have increased the concern of digital s...
research
∙
02/02/2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
Masked Image Modeling (MIM) has been a prevailing framework for self-sup...
research
∙
12/28/2022
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
The past two decades have seen increasingly rapid advances in the field ...
research
∙
12/14/2022
ContraFeat: Contrasting Deep Features for Semantic Discovery
StyleGAN has shown strong potential for disentangled semantic control, t...
research
∙
12/13/2022
FastMIM: Expediting Masked Image Modeling Pre-training for Vision
The combination of transformers and masked image modeling (MIM) pre-trai...
research
∙
12/06/2022
Non-interactive Multi-client Searchable Symmetric Encryption with Small Client Storage
Considerable attention has been paid to dynamic searchable symmetric enc...
research
∙
11/23/2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
Light-weight convolutional neural networks (CNNs) are specially designed...
research
∙
10/26/2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Recent breakthroughs in semi-supervised semantic segmentation have been ...
research
∙
10/23/2022
Deciphering Contact Interactions and Exploration Strategies Underlying Tactile Perception of Material Softness
Our sense of touch is essential and permeates in interactions involving ...
research
∙
08/18/2022
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
Detecting tiny objects is one of the main obstacles hindering the develo...
research
∙
07/12/2022
LightViT: Towards Light-Weight Convolution-Free Vision Transformers
Vision transformers (ViTs) are usually considered to be less light-weigh...
research
∙
06/28/2022
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
Tiny object detection (TOD) in aerial images is challenging since a tiny...
research
∙
05/21/2022
Knowledge Distillation from A Stronger Teacher
Unlike existing knowledge distillation methods focus on the baseline set...
research
∙
04/12/2022
3D Visual Tracking to Quantify Physical Contact Interactions in Human-to-Human Touch
Across a plethora of social situations, we touch others in natural and i...
research
∙
03/25/2022
Searching for Network Width with Bilaterally Coupled Network
Searching for a more compact network width recently serves as an effecti...
research
∙
03/25/2022
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data
Searchable symmetric encryption (SSE) supports keyword search over outso...
research
∙
03/24/2022
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Structural re-parameterization (Rep) methods achieve noticeable improvem...
research
∙
03/16/2022
Relational Self-Supervised Learning
Self-supervised Learning (SSL) including the mainstream contrastive lear...
research
∙
03/14/2022
SimMatch: Semi-supervised Learning with Similarity Matching
Learning with few labeled data has been a longstanding problem in the co...
research
∙
03/03/2022
Multi-Tailed Vision Transformer for Efficient Inference
Recently, Vision Transformer (ViT) has achieved promising performance in...
research
∙
02/26/2022
Relational Surrogate Loss Learning
Evaluation metrics in machine learning are often hardly taken as loss fu...
research
∙
01/10/2022
GhostNets on Heterogeneous Devices via Cheap Operations
Deploying convolutional neural networks (CNNs) on mobile devices is diff...
research
∙
01/08/2022
Subtle Contact Nuances in the Delivery of Human-to-Human Touch Distinguish Emotional Sentiment
We routinely communicate distinct social and emotional sentiments throug...
research
∙
12/27/2021
An Empirical Study of Adder Neural Networks for Object Detection
Adder neural networks (AdderNets) have shown impressive performance on i...
research
∙
11/24/2021
