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Does deep machine vision have just noticeable difference (JND)?
As an important perceptual characteristic of the Human Visual System (HV...
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Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
Detection of inconsistencies of double JPEG artefacts across different i...
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Efficient video integrity analysis through container characterization
Most video forensic techniques look for traces within the data stream th...
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Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Image stitching is a classical and crucial technique in computer vision,...
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Towards Natural Robustness Against Adversarial Examples
Recent studies have shown that deep neural networks are vulnerable to ad...
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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Despite the remarkable advances in visual saliency analysis for natural ...
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CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Co-Salient Object Detection (CoSOD) aims at discovering salient objects ...
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Mining Generalized Features for Detecting AI-Manipulated Fake Faces
Recently, AI-manipulated face techniques have developed rapidly and cons...
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LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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Taking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tr...
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A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
The diverse spatial resolutions, various object types, scales and orient...
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A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
Distortion is widely existed in the images captured by popular wide-angl...
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Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Pseudo-LiDAR point cloud interpolation is a novel and challenging task i...
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SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Most prior work in the sequence-to-sequence paradigm focused on datasets...
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Fast Template Matching and Update for Video Object Tracking and Segmentation
In this paper, the main task we aim to tackle is the multi-instance semi...
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From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
In zero-shot learning (ZSL), the samples to be classified are usually pr...
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Age of Information Analysis for Dynamic Spectrum Sharing
Timely information updates are critical to time-sensitive applications i...
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Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
In this paper, we introduce a deep multiple description coding (MDC) fra...
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Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
Most deep image smoothing operators are always trained repetitively when...
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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Recent work pre-training Transformers with self-supervised objectives on...
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To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Due to the deteriorated conditions of lack and uneven lighting, nightti...
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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Graph representation learning aims to encode all nodes of a graph into l...
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Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
In this paper, we aim to tackle the one-shot person re-identification pr...
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ProLFA: Representative Prototype Selection for Local Feature Aggregation
Given a set of hand-crafted local features, acquiring a global represent...
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ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Zero-shot learning (ZSL) has received extensive attention recently espec...
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Hierarchical Prototype Learning for Zero-Shot Recognition
Zero-Shot Learning (ZSL) has received extensive attention and successes ...
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Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Contrast enhancement (CE) forensics techniques have always been of great...
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PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
LiDAR sensors can provide dependable 3D spatial information at a low fre...
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Segmentation Mask Guided End-to-End Person Search
Person search aims to search for a target person among multiple images r...
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Edge Heuristic GAN for Non-uniform Blind Deblurring
Non-uniform blur, mainly caused by camera shake and motions of multiple ...
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Architecture Selection via the Trade-off Between Accuracy and Robustness
We provide a general framework for characterizing the trade-off between ...
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EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Time series prediction with deep learning methods, especially long short...
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Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Correlation filter has been proven to be an effective tool for a number ...
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Deep Multiple Description Coding by Learning Scalar Quantization
In this paper, we propose a deep multiple description coding framework, ...
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Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Human parsing has received considerable interest due to its wide applica...
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Virtual Codec Supervised Re-Sampling Network for Image Compression
In this paper, we propose an image re-sampling compression method by lea...
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Double JPEG Compression Detection by Exploring the Correlations in DCT Domain
In the field of digital image processing, JPEG image compression techniq...
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Adversarial Attacks and Defences Competition
To accelerate research on adversarial examples and robustness of machine...
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Security Consideration For Deep Learning-Based Image Forensics
Recently, image forensics community has paied attention to the research ...
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Robust Contrast Enhancement Forensics Using Convolutional Neural Networks
Contrast enhancement(CE) forensics has always been attracted widely atte...
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Adaptive Streaming in Interactive Multiview Video Systems
Multiview applications endow final users with the possibility to freely ...
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Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
Reversible data hiding (RDH) is desirable in applications where both the...
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Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks
In this paper, we propose a end-to-end mixed-resolution image compressio...
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Secure Detection of Image Manipulation by means of Random Feature Selection
We address the problem of data-driven image manipulation detection in th...
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Multiple Description Convolutional Neural Networks for Image Compression
Multiple description coding (MDC) is able to stably transmit the signal ...
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Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image
Although deep convolutional neural network has been proved to efficientl...
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Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing
In this paper, two local activity-tuned filtering frameworks are propose...
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
We investigate a principle way to progressively mine discriminative obje...
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Source Camera Identification Based On Content-Adaptive Fusion Network
Source camera identification is still a hard task in forensics community...
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A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
This paper proposes a new evaluation protocol for cross-media retrieval ...
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