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08/25/2023
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
LiDAR-based semantic perception tasks are critical yet challenging for a...
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07/04/2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification
Despite their promising performance across various natural language proc...
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06/07/2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
Diffusion models have attracted significant attention due to their remar...
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03/30/2023
Mixed Autoencoder for Self-supervised Visual Representation Learning
Masked Autoencoder (MAE) has demonstrated superior performance on variou...
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03/22/2023
CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Contrastive Language-Image Pre-training, benefiting from large-scale unl...
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02/02/2023
Deep COVID-19 Forecasting for Multiple States with Data Augmentation
In this work, we propose a deep learning approach to forecasting state-l...
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07/12/2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Conventionally, Earth system (e.g., weather and climate) forecasting rel...
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05/02/2022
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
Joint object detection and online multi-object tracking (JDT) methods ha...
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03/15/2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Contemporary deep-learning object detection methods for autonomous drivi...
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08/27/2021
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
Autonomous driving has attracted much attention over the years but turns...
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08/29/2019
Multilingual and Multi-Aspect Hate Speech Analysis
Current research on hate speech analysis is typically oriented towards m...
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08/03/2019
Knowledge Query Network: How Knowledge Interacts with Skills
Knowledge Tracing (KT) is to trace the knowledge of students as they sol...
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06/09/2019
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation
Moving objects can greatly jeopardize the performance of a visual simult...
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05/21/2019
Marginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have f...
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04/03/2019
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues
This paper proposes a novel weakly-supervised semantic segmentation meth...
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12/25/2018
Coupled Recurrent Network (CRN)
Many semantic video analysis tasks can benefit from multiple, heterogeno...
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12/12/2018
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
The effectiveness of learning in massive open online courses (MOOCs) can...
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11/05/2018
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments
This paper presents a novel method to reduce the scale drift for indoor ...
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10/23/2018
Point-cloud-based place recognition using CNN feature extraction
This paper proposes a novel point-cloud-based place recognition system t...
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08/21/2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Spatiotemporal systems are common in the real-world. Forecasting the mul...
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06/06/2018
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction
The 2017 ASSISTments Data Mining competition aims to use data from a lon...
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06/06/2018
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Knowledge tracing is one of the key research areas for empowering person...
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03/20/2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
We propose a new network architecture, Gated Attention Networks (GaAN), ...
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03/02/2018
Gesture-based Piloting of an Aerial Robot using Monocular Vision
Aerial robots are becoming popular among general public, and with the de...
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09/24/2017
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
While deep reinforcement learning (RL) methods have achieved unprecedent...
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08/13/2017
Lattice Long Short-Term Memory for Human Action Recognition
Human actions captured in video sequences are three-dimensional signals ...
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08/02/2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
In this paper, we investigate a weakly-supervised object detection frame...
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07/25/2017
Spatiotemporal Modeling for Crowd Counting in Videos
Region of Interest (ROI) crowd counting can be formulated as a regressio...
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06/22/2017
Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features
Fine-grained categorization can benefit from part-based features which r...
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06/12/2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
With the goal of making high-resolution forecasts of regional rainfall, ...
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03/21/2017
ZM-Net: Real-time Zero-shot Image Manipulation Network
Many problems in image processing and computer vision (e.g. colorization...
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11/24/2016
Dynamic Key-Value Memory Networks for Knowledge Tracing
Knowledge Tracing (KT) is a task of tracing evolving knowledge state of ...
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11/02/2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Hybrid methods that utilize both content and rating information are comm...
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11/02/2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Neural networks (NN) have achieved state-of-the-art performance in vario...
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08/24/2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
While perception tasks such as visual object recognition and text unders...
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04/06/2016
Towards Bayesian Deep Learning: A Survey
While perception tasks such as visual object recognition and text unders...
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06/13/2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
The goal of precipitation nowcasting is to predict the future rainfall i...
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04/23/2015
Understanding and Diagnosing Visual Tracking Systems
Several benchmark datasets for visual tracking research have been propos...
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01/19/2015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Convolutional neural network (CNN) models have demonstrated great succes...
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09/10/2014
Collaborative Deep Learning for Recommender Systems
Collaborative filtering (CF) is a successful approach commonly used by m...
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03/15/2012
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Multi-task learning is a learning paradigm which seeks to improve the ge...
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03/15/2012
