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08/19/2023
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo
The reconstruction of textureless areas has long been a challenging prob...
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07/31/2023
Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation
Channel prediction is critical to address the channel aging issue in mob...
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07/04/2023
Training Energy-Based Models with Diffusion Contrastive Divergences
Energy-Based Models (EBMs) have been widely used for generative modeling...
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06/07/2023
Video Compression with Arbitrary Rescaling Network
Most video platforms provide video streaming services with different qua...
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05/11/2023
Pyramid Texture Filtering
We present a simple but effective technique to smooth out textures while...
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04/07/2023
DATE: Domain Adaptive Product Seeker for E-commerce
Product Retrieval (PR) and Grounding (PG), aiming to seek image and obje...
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03/28/2023
Egocentric Auditory Attention Localization in Conversations
In a noisy conversation environment such as a dinner party, people often...
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03/25/2023
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
Cell instance segmentation in cytology images has significant importance...
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02/21/2023
Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling
The popularity of on-demand ride pooling is owing to the benefits offere...
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01/27/2023
Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties
Constrained Reinforcement Learning has been employed to enforce safety c...
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01/04/2023
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Can conversational videos captured from multiple egocentric viewpoints r...
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09/02/2022
Multi-Modal Experience Inspired AI Creation
AI creation, such as poem or lyrics generation, has attracted increasing...
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07/31/2022
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems
Heterogeneous information fusion is one of the most critical issues for ...
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07/05/2022
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN
Beyond topical relevance, passage ranking for open-domain factoid questi...
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06/07/2022
Adaptive Obstacle Avoidance Algorithm Based on Trajectory Learning
Most obstacle avoidance algorithms are only effective in specific enviro...
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03/03/2022
MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning
Few-Shot Learning (FSL) is a challenging task, which aims to recognize n...
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02/28/2022
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models
Previous works show the great potential of pre-trained language models (...
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02/18/2022
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions
The mercury constitutive model predicting the strain and stress in the t...
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02/10/2022
Deep Learning for Computational Cytology: A Survey
Computational cytology is a critical, rapid-developing, yet challenging ...
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02/08/2022
Bayesian Inverse Uncertainty Quantification of the Physical Model Parameters for the Spallation Neutron Source First Target Station
The reliability of the mercury spallation target is mission-critical for...
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01/06/2022
Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization
Augmented reality devices have the potential to enhance human perception...
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10/18/2021
Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems
Cooperative Intelligent Transport System (C-ITS) is a promising network ...
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10/14/2021
Towards More Effective and Economic Sparsely-Activated Model
The sparsely-activated models have achieved great success in natural lan...
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10/13/2021
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Supersized pre-trained language models have pushed the accuracy of vario...
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09/14/2021
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
Pre-trained model such as BERT has been proved to be an effective tool f...
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09/13/2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
It is challenging to control a soft robot, where reinforcement learning ...
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09/13/2021
URLLC and eMBB Coexistence in MIMO Non-orthogonal Multiple Access Systems
Enhanced mobile broadband (eMBB) and ultrareliable and low-latency commu...
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08/24/2021
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Context information in search sessions has proven to be useful for captu...
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08/20/2021
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need
Designing pre-training objectives that more closely resemble the downstr...
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07/18/2021
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
A proactive dialogue system has the ability to proactively lead the conv...
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07/09/2021
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
Augmented Reality (AR) as a platform has the potential to facilitate the...
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05/28/2021
Early Exiting with Ensemble Internal Classifiers
As a simple technique to accelerate inference of large-scale pre-trained...
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05/18/2021
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
Recent years have witnessed great progress on building emotional chatbot...
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04/14/2021
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
A common shortfall of supervised learning for medical imaging is the gre...
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04/12/2021
Egocentric Pose Estimation from Human Vision Span
Estimating camera wearer's body pose from an egocentric view (egopose) i...
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03/07/2021
Robopheus: A Virtual-Physical Interactive Mobile Robotic Testbed
The mobile robotic testbed is an essential and critical support to verif...
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02/22/2021
Residual-Aided End-to-End Learning of Communication System without Known Channel
Leveraging powerful deep learning techniques, the end-to-end (E2E) learn...
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12/11/2020
Market2Dish: Health-aware Food Recommendation
With the rising incidence of some diseases, such as obesity and diabetes...
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07/25/2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
Deep Q-learning algorithms often suffer from poor gradient estimations w...
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07/13/2020
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
Skin conditions are reported the 4th leading cause of nonfatal disease b...
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07/08/2020
Design, Control, and Applications of a Soft Robotic Arm
This paper presents the design, control, and applications of a multi-seg...
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03/26/2020
Real-time 3D Deep Multi-Camera Tracking
Tracking a crowd in 3D using multiple RGB cameras is a challenging task....
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03/22/2020
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
The widespread popularity of unmanned aerial vehicles enables an immense...
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02/25/2020
Feasible Computationally Efficient Path Planning for UAV Collision Avoidance
This paper presents a robust computationally efficient real-time collisi...
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12/19/2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Enabling a neural network to sequentially learn multiple tasks is of gre...
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07/27/2019
Inertial nonconvex alternating minimizations for the image deblurring
In image processing, Total Variation (TV) regularization models are comm...
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07/23/2019
Heavy-ball Algorithms Always Escape Saddle Points
Nonconvex optimization algorithms with random initialization have attrac...
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07/04/2019
Modeling and analysis of alternative distribution and Physical Internet schemes in urban area
Urban logistics is becoming more complicated and costlier due to new cha...
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04/30/2019
Optimal Preamble Length for Spectral Efficiency in Grant-Free RA with Massive MIMO
Grant-free random access (RA) with massive MIMO is a promising RA techni...
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03/05/2019