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07/11/2023
APRF: Anti-Aliasing Projection Representation Field for Inverse Problem in Imaging
Sparse-view Computed Tomography (SVCT) reconstruction is an ill-posed in...
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03/28/2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
Medical image arbitrary-scale super-resolution (MIASSR) has recently gai...
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03/28/2023
Hard Nominal Example-aware Template Mutual Matching for Industrial Anomaly Detection
Anomaly detectors are widely used in industrial production to detect and...
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03/24/2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
Deep learning techniques have achieved superior performance in computer-...
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11/01/2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Although current deep learning techniques have yielded superior performa...
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08/08/2022
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing
We present a weight similarity measure method that can quantify the weig...
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07/13/2022
Appearance-guided Attentive Self-Paced Learning for Unsupervised Salient Object Detection
Existing Deep-Learning-based (DL-based) Unsupervised Salient Object Dete...
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06/19/2022
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
Spiking neural networks are efficient computation models for low-power e...
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04/27/2022
Global Trajectory Helps Person Retrieval in a Camera Network
We are concerned about retrieving a query person from the videos taken b...
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04/26/2022
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping
DeepFake face swapping presents a significant threat to online security ...
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03/06/2022
Exploring Dual-task Correlation for Pose Guided Person Image Generation
Pose Guided Person Image Generation (PGPIG) is the task of transforming ...
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03/06/2022
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labe...
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02/07/2022
Benchmarking Deep Models for Salient Object Detection
In recent years, deep network-based methods have continuously refreshed ...
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12/07/2021
Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection
Unsupervised Salient Object Detection (USOD) is of paramount significanc...
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05/14/2021
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
Video salient object detection (VSOD) aims to locate and segment the mos...
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04/25/2021
ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification
Previous studies have shown the great potential of capsule networks for ...
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08/06/2019
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
We present a learning model that makes full use of boundary information ...
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07/27/2019
Learnable Parameter Similarity
Most of the existing approaches focus on specific visual tasks while ign...
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07/07/2019
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
Person re-identification (re-id) has made great progress in recent years...
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07/03/2019
Depth Growing for Neural Machine Translation
While very deep neural networks have shown effectiveness for computer vi...
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04/08/2019
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark
Person re-identification (ReID) benefits greatly from the accurate annot...
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01/29/2019
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification
Modeling the underlying person structure for person re-identification (r...
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12/08/2018
Spatial-Temporal Person Re-identification
Most of current person re-identification (ReID) methods neglect a spatia...
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11/09/2018
M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification
Cross-domain transfer learning (CDTL) is an extremely challenging task f...
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10/30/2018
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities
Ensemble clustering has been a popular research topic in data mining and...
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10/29/2018
Learning to Teach with Dynamic Loss Functions
Teaching is critical to human society: it is with teaching that prospect...
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09/01/2018
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
Neural machine translation usually adopts autoregressive models and suff...
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08/27/2018
A Study of Reinforcement Learning for Neural Machine Translation
Recent studies have shown that reinforcement learning (RL) is an effecti...
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04/17/2018
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks
In this paper, we study the problem of designing efficient convolutional...
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04/09/2018
Occluded Person Re-identification
Person re-identification (re-id) suffers from a serious occlusion proble...
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03/30/2018
Learning View-Specific Deep Networks for Person Re-Identification
In recent years, a growing body of research has focused on the problem o...
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12/05/2017
Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification
Attribute based person re-identification (Re-ID) aims to search persons ...
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07/25/2017
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos
We present a novel method of integrating motion and appearance cues for ...
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04/20/2017
Adversarial Neural Machine Translation
In this paper, we study a new learning paradigm for Neural Machine Trans...
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03/28/2017
Robust Depth-based Person Re-identification
Person re-identification (re-id) aims to match people across non-overlap...
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02/03/2015
Data-Driven Scene Understanding with Adaptively Retrieved Exemplars
This article investigates a data-driven approach for semantically scene ...
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02/03/2015
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation
This paper proposes a simple yet effective method to learn the hierarchi...
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02/02/2015