b'Chang Xu'

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...

0 Huihui Gong, et al. ∙

research

∙ 09/18/2023

Reducing Adversarial Training Cost with Gradient Approximation

Deep learning models have achieved state-of-the-art performances in vari...

0 Huihui Gong, et al. ∙

research

∙ 08/23/2023

Efficient Transfer Learning in Diffusion Models via Adversarial Noise

Diffusion Probabilistic Models (DPMs) have demonstrated substantial prom...

0 Xiyu Wang, et al. ∙

research

∙ 08/23/2023

Boosting Diffusion Models with an Adaptive Momentum Sampler

Diffusion probabilistic models (DPMs) have been shown to generate high-q...

0 Xiyu Wang, et al. ∙

research

∙ 08/23/2023

A Benchmark Study on Calibration

Deep neural networks are increasingly utilized in various machine learni...

0 Linwei Tao, et al. ∙

research

∙ 08/21/2023

CoNe: Contrast Your Neighbours for Supervised Image Classification

Image classification is a longstanding problem in computer vision and ma...

0 Mingkai Zheng, et al. ∙

research

∙ 08/13/2023

SimMatchV2: Semi-Supervised Learning with Graph Consistency

Semi-Supervised image classification is one of the most fundamental prob...

0 Mingkai Zheng, et al. ∙

research

∙ 07/29/2023

Fingerprints of Generative Models in the Frequency Domain

It is verified in existing works that CNN-based generative models leave ...

0 Tianyun Yang, et al. ∙

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...

0 Yichao Cao, et al. ∙

research

∙ 07/16/2023

Programming by Example Made Easy

Programming by example (PBE) is an emerging programming paradigm that au...

0 Jiarong Wu, et al. ∙

research

∙ 07/16/2023

Neural Architecture Retrieval

With the increasing number of new neural architecture designs and substa...

0 Xiaohuan Pei, et al. ∙

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...

0 Zhongwei Qiu, et al. ∙

research

∙ 06/07/2023

GPT Self-Supervision for a Better Data Annotator

The task of annotating data into concise summaries poses a significant c...

0 Xiaohuan Pei, et al. ∙

research

∙ 06/05/2023

Stable Diffusion is Unstable

Recently, text-to-image models have been thriving. Despite their powerfu...

0 Chengbin Du, et al. ∙

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...

0 Zhiwei Hao, et al. ∙

research

∙ 05/23/2023

Dual Focal Loss for Calibration

The use of deep neural networks in real-world applications require well-...

0 Linwei Tao, et al. ∙

research

∙ 05/16/2023

AMD: Autoregressive Motion Diffusion

Human motion generation aims to produce plausible human motion sequences...

0 Bo Han, et al. ∙

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...

0 Wenjie Ma, et al. ∙

research

∙ 04/21/2023

Can GPT-4 Perform Neural Architecture Search?

We investigate the potential of GPT-4~\cite{gpt4} to perform Neural Arch...

0 Mingkai Zheng, et al. ∙

research

∙ 04/18/2023

Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

Detecting arbitrarily oriented tiny objects poses intense challenges to ...

0 Chang Xu, et al. ∙

research

∙ 03/31/2023

Diffusion Action Segmentation

Temporal action segmentation is crucial for understanding long-form vide...

0 Daochang Liu, et al. ∙

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...

0 Zhongwei Qiu, et al. ∙

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...

0 Chuyang Zhou, et al. ∙

research

∙ 02/13/2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

Adversarial imitation learning has become a widely used imitation learni...

0 Yunke Wang, et al. ∙

research

∙ 02/13/2023

Calibrating a Deep Neural Network with Its Predecessors

Confidence calibration - the process to calibrate the output probability...

0 Linwei Tao, et al. ∙

research

∙ 02/13/2023

Anti-Compression Contrastive Facial Forgery Detection

Forgery facial images and videos have increased the concern of digital s...

0 Jiajun Huang, et al. ∙

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...

0 Zunzhi You, et al. ∙

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 ...

0 Guanzhou Ke, et al. ∙

research

∙ 12/14/2022

ContraFeat: Contrasting Deep Features for Semantic Discovery

StyleGAN has shown strong potential for disentangled semantic control, t...

0 Xinqi Zhu, et al. ∙

research

∙ 12/13/2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision

The combination of transformers and masked image modeling (MIM) pre-trai...

0 Jianyuan Guo, et al. ∙

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...

0 Hanqi Zhang, et al. ∙

research

∙ 11/23/2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

Light-weight convolutional neural networks (CNNs) are specially designed...

0 Yehui Tang, et al. ∙

research

∙ 10/26/2022

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations

Recent breakthroughs in semi-supervised semantic segmentation have been ...

0 Haoyu Xie, et al. ∙

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 ...

0 Chang Xu, et al. ∙

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...

0 Chang Xu, et al. ∙

research

∙ 07/12/2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Vision transformers (ViTs) are usually considered to be less light-weigh...

0 Tao Huang, et al. ∙

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...

0 Chang Xu, et al. ∙

research

∙ 05/21/2022

Knowledge Distillation from A Stronger Teacher

Unlike existing knowledge distillation methods focus on the baseline set...

0 Tao Huang, et al. ∙

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...

0 Shan Xu, et al. ∙

research

∙ 03/25/2022

Searching for Network Width with Bilaterally Coupled Network

Searching for a more compact network width recently serves as an effecti...

0 Xiu Su, et al. ∙

research

∙ 03/25/2022

Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data

Searchable symmetric encryption (SSE) supports keyword search over outso...

0 Chang Xu, et al. ∙

research

∙ 03/24/2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization

Structural re-parameterization (Rep) methods achieve noticeable improvem...

0 Tao Huang, et al. ∙

research

∙ 03/16/2022

Relational Self-Supervised Learning

Self-supervised Learning (SSL) including the mainstream contrastive lear...

0 Mingkai Zheng, et al. ∙

research

∙ 03/14/2022

SimMatch: Semi-supervised Learning with Similarity Matching

Learning with few labeled data has been a longstanding problem in the co...

0 Mingkai Zheng, et al. ∙

research

∙ 03/03/2022

Multi-Tailed Vision Transformer for Efficient Inference

Recently, Vision Transformer (ViT) has achieved promising performance in...

0 Yunke Wang, et al. ∙

research

∙ 02/26/2022

Relational Surrogate Loss Learning

Evaluation metrics in machine learning are often hardly taken as loss fu...

0 Tao Huang, et al. ∙

research

∙ 01/10/2022

GhostNets on Heterogeneous Devices via Cheap Operations

Deploying convolutional neural networks (CNNs) on mobile devices is diff...

2 Kai Han, et al. ∙

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...

0 Shan Xu, et al. ∙

research

∙ 12/27/2021

An Empirical Study of Adder Neural Networks for Object Detection

Adder neural networks (AdderNets) have shown impressive performance on i...

10 Xinghao Chen, et al. ∙

research

∙ 11/24/2021

GreedyNASv2: Greedier Search with a Greedy Path Filter

Training a good supernet in one-shot NAS methods is difficult since the ...

0 Tao Huang, et al. ∙

Chang Xu

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