b'Shiqi Wang'

research

∙ 09/07/2023

Perceptual Quality Assessment of 360^∘ Images Based on Generative Scanpath Representation

Despite substantial efforts dedicated to the design of heuristic models ...

0 Xiangjie Sui, et al. ∙

research

∙ 07/17/2023

Extreme Image Compression using Fine-tuned VQGAN Models

Recent advances in generative compression methods have demonstrated rema...

0 Qi Mao, et al. ∙

research

∙ 06/09/2023

The Age of Synthetic Realities: Challenges and Opportunities

Synthetic realities are digital creations or augmentations that are cont...

0 João Phillipe Cardenuto, et al. ∙

research

∙ 06/05/2023

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

The out-of-distribution (OOD) problem generally arises when neural netwo...

0 Yibing Liu, et al. ∙

research

∙ 05/02/2023

Geometric Prior Based Deep Human Point Cloud Geometry Compression

The emergence of digital avatars has raised an exponential increase in t...

0 Xinju Wu, et al. ∙

research

∙ 04/27/2023

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing

By integrating certain optimization solvers with deep neural networks, d...

0 Jiechong Song, et al. ∙

research

∙ 03/09/2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization

ML-powered code generation aims to assist developers to write code in a ...

0 Xiaokai Wei, et al. ∙

research

∙ 03/02/2023

Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation

Nowadays, forgery faces pose pressing security concerns over fake news, ...

0 Chenqi Kong, et al. ∙

research

∙ 02/22/2023

Debiased Mapping for Full-Reference Image Quality Assessment

Mapping images to deep feature space for comparisons has been wildly ado...

0 Baoliang Chen, et al. ∙

research

∙ 02/06/2023

Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control

Real-time intelligence applications in Internet of Things (IoT) environm...

0 Shiqi Wang, et al. ∙

research

∙ 02/02/2023

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Diffusion-based generative models have shown great potential for image s...

0 Jinhao Duan, et al. ∙

research

∙ 01/30/2023

M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System

Face presentation attacks (FPA), also known as face spoofing, have broug...

0 Chenqi Kong, et al. ∙

research

∙ 12/20/2022

ReCode: Robustness Evaluation of Code Generation Models

Code generation models have achieved impressive performance. However, th...

0 Shiqi Wang, et al. ∙

research

∙ 11/30/2022

Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection

The image recapture attack is an effective image manipulation method to ...

0 Jiaxing Li, et al. ∙

research

∙ 11/13/2022

Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning

Learning invariant representations via contrastive learning has seen sta...

0 Yibing Liu, et al. ∙

research

∙ 11/09/2022

From Distance to Dependency: A Paradigm Shift of Full-reference Image Quality Assessment

Deep learning-based full-reference image quality assessment (FR-IQA) mod...

0 Hanwei Zhu, et al. ∙

research

∙ 10/26/2022

Multi-lingual Evaluation of Code Generation Models

We present MBXP, an execution-based code completion benchmark in 10+ pro...

0 Ben Athiwaratkun, et al. ∙

research

∙ 09/29/2022

Digital and Physical Face Attacks: Reviewing and One Step Further

With the rapid progress over the past five years, face authentication ha...

0 Chenqi Kong, et al. ∙

research

∙ 09/21/2022

Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model

Deep learning based image quality assessment (IQA) models usually learn ...

0 Zhaopeng Feng, et al. ∙

research

∙ 09/13/2022

Just Noticeable Difference Modeling for Face Recognition System

High-quality face images are required to guarantee the stability and rel...

5 Yu Tian, et al. ∙

research

∙ 09/12/2022

Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment

The statistical regularities of natural images, referred to as natural s...

0 Baoliang Chen, et al. ∙

research

∙ 09/07/2022

A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

Fully-supervised salient object detection (SOD) methods have made great ...

0 Runmin Cong, et al. ∙

research

∙ 09/06/2022

High Dynamic Range Image Quality Assessment Based on Frequency Disparity

In this paper, a novel and effective image quality assessment (IQA) algo...

7 Yue Liu, et al. ∙

research

∙ 08/11/2022

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Bound propagation methods, when combined with branch and bound, are amon...

7 Huan Zhang, et al. ∙

research

∙ 08/05/2022

DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space

Existing deep learning-based full-reference IQA (FR-IQA) models usually ...

11 Xigran Liao, et al. ∙

research

∙ 07/03/2022

Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement

Getting rid of the fundamental limitations in fitting to the paired trai...

0 Zhangkai Ni, et al. ∙

research

∙ 05/16/2022

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder

Domain generalization aims to improve the generalization capability of m...

0 Tiexin Qin, et al. ∙

research

∙ 02/20/2022

Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection

In this paper, we propose a distortion-aware loop filtering model to imp...

0 Pingping Zhang, et al. ∙

research

∙ 02/20/2022

The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement

There is an increasing consensus that the design and optimization of low...

0 Baoliang Chen, et al. ∙

research

∙ 02/19/2022

Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion

With the increasingly fierce market competition, offering a free trial h...

0 Shiqi Wang, et al. ∙

research

∙ 01/28/2022

Rethinking Attention-Model Explainability through Faithfulness Violation Test

Attention mechanisms are dominating the explainability of deep models. T...

0 Yibing Liu, et al. ∙

research

∙ 01/28/2022

Generalized Visual Quality Assessment of GAN-Generated Face Images

Recent years have witnessed the dramatically increased interest in face ...

1 Yu Tian, et al. ∙

research

∙ 12/31/2021

CSformer: Bridging Convolution and Transformer for Compressive Sensing

Convolution neural networks (CNNs) have succeeded in compressive image s...

14 Dongjie Ye, et al. ∙

research

∙ 10/16/2021

Locally Adaptive Structure and Texture Similarity for Image Quality Assessment

The latest advances in full-reference image quality assessment (IQA) inv...

7 Keyan Ding, et al. ∙

research

∙ 08/11/2021

Towards Top-Down Just Noticeable Difference Estimation of Natural Images

Existing efforts on Just noticeable difference (JND) estimation mainly d...

2 Qiuping Jiang, et al. ∙

research

∙ 08/09/2021

No-Reference Image Quality Assessment by Hallucinating Pristine Features

In this paper, we propose a no-reference (NR) image quality assessment (...

0 Baoliang Chen, et al. ∙

research

∙ 07/13/2021

Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision

The technological advancements of deep learning have enabled sophisticat...

15 Chenqi Kong, et al. ∙

research

∙ 07/01/2021

End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization

The visual signal compression is a long-standing problem. Fueled by the ...

8 Shurun Wang, et al. ∙

research

∙ 05/24/2021

Learning Security Classifiers with Verified Global Robustness Properties

Recent works have proposed methods to train classifiers with local robus...

5 Yizheng Chen, et al. ∙

research

∙ 05/14/2021

Privacy-Preserving Constrained Domain Generalization for Medical Image Classification

Deep neural networks (DNN) have demonstrated unprecedented success for m...

0 Chris Xing Tian, et al. ∙

research

∙ 03/11/2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification

Recent works in neural network verification show that cheap incomplete v...

0 Shiqi Wang, et al. ∙

research

∙ 01/25/2021

Camera Invariant Feature Learning for Generalized Face Anti-spoofing

There has been an increasing consensus in learning based face anti-spoof...

0 Baoliang Chen, et al. ∙

research

∙ 12/30/2020

Sub-sampled Cross-component Prediction for Emerging Video Coding Standards

Cross-component linear model (CCLM) prediction has been repeatedly prove...

0 Junru Li, et al. ∙

research

∙ 12/30/2020

Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network

In this work, we aim to learn an unpaired image enhancement model, which...

28 Zhangkai Ni, et al. ∙

research

∙ 12/30/2020

Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network

Improving the aesthetic quality of images is challenging and eager for t...

4 Zhangkai Ni, et al. ∙

research

∙ 12/27/2020

Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment

In this work, we propose a no-reference video quality assessment method,...

3 Baoliang Chen, et al. ∙

research

∙ 12/14/2020

Adaptive Verifiable Training Using Pairwise Class Similarity

Verifiable training has shown success in creating neural networks that a...

0 Shiqi Wang, et al. ∙

research

∙ 11/27/2020

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

Formal verification of neural networks (NNs) is a challenging and import...

0 Kaidi Xu, et al. ∙

research

∙ 11/10/2020

Conceptual Compression via Deep Structure and Texture Synthesis

Existing compression methods typically focus on the removal of signal-le...

0 Jianhui Chang, et al. ∙

research

∙ 09/27/2020

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

Recently, we have witnessed great progress in the field of medical imagi...

0 Haoliang Li, et al. ∙

Shiqi Wang

Featured Co-authors