Search Results for author:
Found 14 papers, 4 papers with code
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
In cross-domain retrieval, a model is required to identify images from the same semantic category across two visual domains.
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
The task of Visual Object Navigation (VON) involves an agent's ability to locate a particular object within a given scene.
Lightweight Delivery Detection on Doorbell Cameras
Despite recent advances in video-based action recognition and robust spatio-temporal modeling, most of the proposed approaches rely on the abundance of computational resources to afford running huge and computation-intensive convolutional or transformer-based neural networks to obtain satisfactory results.
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Our method outperforms baselines by a large margin and is the most sample-efficient demonstration-free RL method to solve Minecraft Tech Tree tasks.
Optimizing Wi-Fi Channel Selection in a Dense Neighborhood
We formulate an optimization problem - finding a channel allocation (which channel each home should use) that minimizes the total Wi-Fi-pain in the neighborhood.
Inclusive Speaker Verification with Adaptive thresholding
We also propose a concatenated gender/age detection model to algorithmically derive the context in absence of such prior information.
A deep learning-based approach for the automated surface inspection of copper clad laminate images
A machine vision-based surface quality inspection system is usually composed of two processes: image acquisition and automatic defect detection.
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning
The result shows that optimization based on LCA has lower environmental impacts compared to baseline scenario, as cost, energy consumption and greenhouse gas emissions reduce to 0. 890 CNY/m3-ww, 0. 530 kWh/m3-ww, 2. 491 kg CO2-eq/m3-ww respectively.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport
The expanding population and rapid urbanisation, in particular in the Global South, are leading to global challenges on resource supply stress and rising waste generation.
Optimization and Control
Multilayer Dense Connections for Hierarchical Concept Classification
Classification is a pivotal function for many computer vision tasks such as object classification, detection, scene segmentation.
VideoSSL: Semi-Supervised Learning for Video Classification
To minimize the dependence on a large annotated dataset, our proposed semi-supervised method trains from a small number of labeled examples and exploits two regulatory signals from unlabeled data.
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
This module also provides a count for each label, which is then analyzed via a specifically devised novel decision module to decide whether the image belongs to any of the two extreme cases (very low or very high density) or a normal case.
Layout-induced Video Representation for Recognizing Agent-in-Place Actions
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance.
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
To dramatically speedup relevant motion event detection and improve its performance, we propose a novel network for relevant motion event detection, ReMotENet, which is a unified, end-to-end data-driven method using spatial-temporal attention-based 3D ConvNets to jointly model the appearance and motion of objects-of-interest in a video.
