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09/07/2023
Perceptual Quality Assessment of 360^∘ Images Based on Generative Scanpath Representation
Despite substantial efforts dedicated to the design of heuristic models ...
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07/17/2023
Extreme Image Compression using Fine-tuned VQGAN Models
Recent advances in generative compression methods have demonstrated rema...
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06/09/2023
The Age of Synthetic Realities: Challenges and Opportunities
Synthetic realities are digital creations or augmentations that are cont...
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06/05/2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
The out-of-distribution (OOD) problem generally arises when neural netwo...
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05/02/2023
Geometric Prior Based Deep Human Point Cloud Geometry Compression
The emergence of digital avatars has raised an exponential increase in t...
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04/27/2023
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
By integrating certain optimization solvers with deep neural networks, d...
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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 ...
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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, ...
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02/22/2023
Debiased Mapping for Full-Reference Image Quality Assessment
Mapping images to deep feature space for comparisons has been wildly ado...
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02/06/2023
Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control
Real-time intelligence applications in Internet of Things (IoT) environm...
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02/02/2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Diffusion-based generative models have shown great potential for image s...
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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...
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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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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 ...
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11/13/2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning
Learning invariant representations via contrastive learning has seen sta...
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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...
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10/26/2022
Multi-lingual Evaluation of Code Generation Models
We present MBXP, an execution-based code completion benchmark in 10+ pro...
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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...
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09/21/2022
Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model
Deep learning based image quality assessment (IQA) models usually learn ...
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09/13/2022
Just Noticeable Difference Modeling for Face Recognition System
High-quality face images are required to guarantee the stability and rel...
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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...
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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 ...
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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...
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08/11/2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Bound propagation methods, when combined with branch and bound, are amon...
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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 ...
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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...
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05/16/2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Domain generalization aims to improve the generalization capability of m...
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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...
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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...
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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...
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01/28/2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Attention mechanisms are dominating the explainability of deep models. T...
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01/28/2022
Generalized Visual Quality Assessment of GAN-Generated Face Images
Recent years have witnessed the dramatically increased interest in face ...
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12/31/2021
CSformer: Bridging Convolution and Transformer for Compressive Sensing
Convolution neural networks (CNNs) have succeeded in compressive image s...
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10/16/2021
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment
The latest advances in full-reference image quality assessment (IQA) inv...
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08/11/2021
Towards Top-Down Just Noticeable Difference Estimation of Natural Images
Existing efforts on Just noticeable difference (JND) estimation mainly d...
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08/09/2021
No-Reference Image Quality Assessment by Hallucinating Pristine Features
In this paper, we propose a no-reference (NR) image quality assessment (...
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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...
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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 ...
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05/24/2021
Learning Security Classifiers with Verified Global Robustness Properties
Recent works have proposed methods to train classifiers with local robus...
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05/14/2021
Privacy-Preserving Constrained Domain Generalization for Medical Image Classification
Deep neural networks (DNN) have demonstrated unprecedented success for m...
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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...
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01/25/2021
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
There has been an increasing consensus in learning based face anti-spoof...
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12/30/2020
Sub-sampled Cross-component Prediction for Emerging Video Coding Standards
Cross-component linear model (CCLM) prediction has been repeatedly prove...
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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...
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12/30/2020
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Improving the aesthetic quality of images is challenging and eager for t...
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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,...
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12/14/2020
Adaptive Verifiable Training Using Pairwise Class Similarity
Verifiable training has shown success in creating neural networks that a...
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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...
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11/10/2020
Conceptual Compression via Deep Structure and Texture Synthesis
Existing compression methods typically focus on the removal of signal-le...
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09/27/2020