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08/21/2023
EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints
Motivated by the superior performance of image diffusion models, more an...
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07/07/2023
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Many machine learning tasks can be formulated as a stochastic compositio...
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06/30/2023
Performance Analysis for Polar Codes under Successive Cancellation List Decoding with Fixed List Size
In this paper, we first indicate that the block error event of polar cod...
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03/23/2023
Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains
Images taken under low-light conditions tend to suffer from poor visibil...
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03/23/2023
Construction Methods Based Minimum Weight Distribution for Polar Codes with Successive Cancellation List Decoding
In this paper, we focus on the construction methods based MWD for polar ...
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03/13/2023
Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offine Handwritten Mathematical Expression Recognition
Offline Handwritten Mathematical Expression Recognition (HMER) has been ...
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11/21/2022
Efficient Generalization Improvement Guided by Random Weight Perturbation
To fully uncover the great potential of deep neural networks (DNNs), var...
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11/17/2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Federated learning is a distributed learning that allows each client to ...
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10/05/2022
Double-Ended Palindromic Trees: A Linear-Time Data Structure and Its Applications
The palindromic tree (a.k.a. eertree) is a linear-size data structure th...
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09/07/2022
SUNet: Scale-aware Unified Network for Panoptic Segmentation
Panoptic segmentation combines the advantages of semantic and instance s...
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08/23/2022
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
Semantic segmentation is an important task for intelligent vehicles to u...
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12/04/2021
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
Thermal infrared (TIR) image has proven effectiveness in providing tempe...
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11/16/2021
BBS: A Blockchain Big-Data Sharing System
Chain of custody is needed to document the sequence of custody of sensit...
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10/15/2021
Self-supervised Contrastive Attributed Graph Clustering
Attributed graph clustering, which learns node representation from node ...
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09/27/2021
Recall and Learn: A Memory-augmented Solver for Math Word Problems
In this article, we tackle the math word problem, namely, automatically ...
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09/15/2021
BOSS: A Blockchain Off-State Sharing System
Blockchain has been applied to data sharing to ensure the integrity of d...
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07/02/2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
In this paper, we study stochastic optimization of areas under precision...
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04/13/2021
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
3D object detection in point clouds is a challenging vision task that be...
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03/16/2021
Track to Detect and Segment: An Online Multi-Object Tracker
Most online multi-object trackers perform object detection stand-alone i...
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01/19/2021
Deep View Synthesis via Self-Consistent Generative Network
View synthesis aims to produce unseen views from a set of views captured...
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12/07/2020
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
Latent Factor Model (LFM) is one of the most successful methods for Coll...
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09/23/2020
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
3D vehicle detection based on multi-modal fusion is an important task of...
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07/23/2020
On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems
IoT security and privacy has raised grave concerns. Efforts have been ma...
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04/21/2020
A Generic Network Compression Framework for Sequential Recommender Systems
Sequential recommender systems (SRS) have become the key technology in c...
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04/02/2020
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
As one of the most important tasks in autonomous driving systems, ego-la...
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09/24/2019
Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
Accurate pedestrian orientation estimation of autonomous driving helps t...
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09/04/2019
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
Recently, proposal-free instance segmentation has received increasing at...
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07/25/2019
Attention Guided Network for Retinal Image Segmentation
Learning structural information is critical for producing an ideal resul...
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06/29/2019
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation
Signals from RGB and depth data carry complementary information about th...
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06/24/2019
Resolution-invariant Person Re-Identification
Exploiting resolution invariant representation is critical for person Re...
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05/27/2019
A Novel Demodulation and Estimation Algorithm for Blackout Communication: Extract Principal Components with Deep Learning
For reentry or near space communication, owing to the influence of the t...
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02/28/2019
Bi-Directional Cascade Network for Perceptual Edge Detection
Exploiting multi-scale representations is critical to improve edge detec...
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02/14/2019
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
This paper introduces a novel approach for 3D semantic instance segmenta...
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08/01/2018
Instance-level Human Parsing via Part Grouping Network
Instance-level human parsing towards real-world human analysis scenarios...
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06/08/2018
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Temporal action proposal generation is an important yet challenging prob...
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01/02/2018
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras
Understanding the surrounding environment of the vehicle is still one of...
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09/09/2017
Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning
In view of contemporary panoramic camera-laser scanner system, the tradi...
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10/03/2016
Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods
Recently, multi-view representation learning has become a rapidly growin...
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09/27/2016
Top-N Recommendation on Graphs
Recommender systems play an increasingly important role in online applic...
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02/05/2016
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons
Bezigons, i.e., closed paths composed of Bézier curves, have been widely...
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12/18/2014
Compressing Deep Convolutional Networks using Vector Quantization
Deep convolutional neural networks (CNN) has become the most promising m...
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06/20/2014