Search Results for author:
Found 13 papers, 6 papers with code
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Multimodal large language models (MLLMs) have emerged as a prominent area of interest within the research community, given their proficiency in handling and reasoning with non-textual data, including images and videos.
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
It addresses three common issues in the scribble-based video colorization area: colorization vividness, temporal consistency, and color bleeding.
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera
During a phase of feature tracking, this hybrid depth association module aims to maximize the use of more accurate depth information between the triangulated depth with visual features tracked and the deep learning-based corrected depth.
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
Supply Chain Platforms (SCPs) provide downstream industries with numerous raw materials.
NOCT: Nonlinear Observability with Constraints and Time Offset
To this end, we propose procedures to convert a system model of affine control inputs with linear constraints into a constraint-free standard model which is apt to be analyzed by the classic observability analysis procedure.
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.
Age-Invariant Face Recognition
Image-to-Image Translation
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Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook
We validate our measures of political alignment and lifestyle politics using the General Social Survey and find similar demographic entanglements with lifestyle politics existed before social media such as Facebook were ubiquitous, giving us strong confidence that our results are not due to echo chambers or filter bubbles.
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
We solve the binning problem by developing new algorithms for (i) graph representation learning that preserves both homophily relations and heterophily constraints (ii) constraint-based graph clustering method that addresses the problems of skewed cluster size distribution.
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation
Moreover, we employ a joint optimization combining pretext tasks with contrastive learning to further enhance the spatio-temporal representation learning.
Template-based Chatbot for Agriculture Related FAQs
Agriculture is the fundamental industry of the society, which is the basis of food supply and an important source of employment and GDP increase.
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation
It consists of three streams fusing the low-level spatial and the high-level contextual representations as well as the detailed boundary information.
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures
In order to solve this problem, we introduce a Generalized Zero-Shot Learning (GZSL) framework, which consists of three branches to infer the emotional state of the new body gestures with only their semantic descriptions.
