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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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08/21/2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation
Unsupervised Domain Adaptation (UDA) approaches address the covariate sh...
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08/16/2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition
The calibration for deep neural networks is currently receiving widespre...
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07/04/2023
Embodied Task Planning with Large Language Models
Equipping embodied agents with commonsense is important for robots to su...
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04/26/2023
Improvements on Recommender System based on Mathematical Principles
In this article, we will research the Recommender System's implementatio...
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03/06/2023
OpenICL: An Open-Source Framework for In-context Learning
In recent years, In-context Learning (ICL) has gained increasing attenti...
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02/23/2023
Category-level Shape Estimation for Densely Cluttered Objects
Accurately estimating the shape of objects in dense clutters makes impor...
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12/13/2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Although weakly-supervised techniques can reduce the labeling effort, it...
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10/25/2022
Synthetic Data Supervised Salient Object Detection
Although deep salient object detection (SOD) has achieved remarkable pro...
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10/25/2022
Salient Object Detection via Dynamic Scale Routing
Recent research advances in salient object detection (SOD) could largely...
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08/06/2022
Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration
Recognizing objects in dense clutter accurately plays an important role ...
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06/13/2022
A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth
Imagery collected from outdoor visual environments is often degraded due...
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06/05/2022
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) based video text spotting has been exten...
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04/09/2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Video action detection (spatio-temporal action localization) is usually ...
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11/26/2021
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
Temporal Activity Detection aims to predict activity classes per frame, ...
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08/19/2021
Semantic Reinforced Attention Learning for Visual Place Recognition
Large-scale visual place recognition (VPR) is inherently challenging bec...
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10/02/2020
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis
Estimating the 3D hand pose from a monocular RGB image is important but ...
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08/11/2020
DREAM: A Dynamic Relational-Aware Model for Social Recommendation
Social connections play a vital role in improving the performance of rec...
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08/10/2020
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter
The real human attention is an interactive activity between our visual s...
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08/07/2020
Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks
Fully convolutional networks have shown outstanding performance in the s...
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08/07/2020
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset
Compared with the conventional hand-crafted approaches, the deep learnin...
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08/06/2020
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks
The problem of session-based recommendation aims to predict user next ac...
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07/30/2020
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Internet is changing the world, adapting to the trend of internet sales ...
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07/27/2020
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain
Internet insurance products are apparently different from traditional e-...
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06/17/2020
Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
In self-supervised monocular depth estimation, the depth discontinuity a...
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11/21/2019
Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization
Most of the existing mobile robot localization solutions are either heav...
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08/11/2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Object detection from images captured by Unmanned Aerial Vehicles (UAVs)...
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06/12/2019
Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset
This paper aims to boost privacy-preserving visual recognition, an incre...
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05/30/2019
All-In-One Underwater Image Enhancement using Domain-Adversarial Learning
Raw underwater images are degraded due to wavelength dependent light att...
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03/19/2019
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security
The need for countering Advanced Persistent Threat (APT) attacks has led...
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11/19/2018
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics
Data-driven fault diagnostics and prognostics suffers from class-imbalan...
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07/22/2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
This paper aims to improve privacy-preserving visual recognition, an inc...
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06/25/2018
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection
Recently, advanced cyber attacks, which consist of a sequence of steps t...
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06/24/2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
The current trend of pushing CNNs deeper with convolutions has created a...
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11/18/2015