The Ohio State University: College of Engineering

2021

Date Presenter Title
2022/12/31 No meeting
2021/12/24 No meeting
2021/12/17 Yuci Han End to end urban driving by imitating a reinforcement learning coach
2021/12/10 Guanyu Xu Dissertation Presentation
2021/12/3 Jayita Gulati Sequential graph convolutional network for active learning
2021/11/26 No meeting
2021/11/19 Deniz Karakay On the Robustness of Semantic Segmentation Models to Adversarial Attacks
2021/11/12 Gulcin Sarici Turkmen Artificial neural network for predicting nuclear power plant dynamic behaviors
2021/11/5 No meeting
2021/10/29 Mike Karnes Momentum Contrast for Unsupervised Visual Representation Learning
2021/10/15 No meeting
2021/10/08 No meeting
2021/10/01 Yuci Han Bayesian controller fusion: leveraging control priors in deep reinforcement learning for robotics
2021/09/24 Guanyu Xu Deep LEarning for real-time 3d multi-object detection, localization, and tracking to smart mobility
2021/09/17 Mike Bai Real-Time High-Resolution Background Matting
2021/09/10 Pouyan Boresh Navard Point-GNN: Graph Neural Network for 3D Object Detection a Point Cloud
2021/09/03 Shehan Perera BoxInst: High-Performance Instance Segmentation with Box Annotations
2021/08/27 Jianli Wei FusAtNet: Dual Attention-based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification
2021/08/17 Deniz Karakay One pixel attack for fooling deep neural networks
2021/08/10 Bing Zha Dissertation Presentation
2021/08/03 Yuci Han Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
2021/07/27 Mike Bai GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
2021/07/20 Pouyan Boresh Navard SuperGlue: Learning Feature Matching with Graph Neural Networks
2021/07/05 Guobiao Yao LoFTR: Detector-Free Local Feature Matching with Transformers
2021/06/29 Yuci Han ISPRS paper presentation
2021/06/14 Jianli Wei
2021/06/07 No meeting
2021/05/31 Memorial day
2021/05/24 Mike Bai A novel local region-based active contour model for image segmentation using Bayes theorem
2021/05/17 ICCV Reviews
2021/05/10 Pouyan Boresh Navard Factored Value Functions for Cooperative Multi Agent Reinforcement Learning
2021/05/03 Bing Zha Where Am I: From Neuroscience to Artificial Intelligence
2021/04/26 No meeting
2021/04/19 Yuci Han Cross-View Policy Learning for Street Navigation
2021/04/12 Mike & Shehan Covid Showcase Presentations
2021/04/05 Jianli Wei Qualifier Presentation
2021/03/29 Guanyu Xu TrackMPNN: A message passing graph neural architecture for multi object tracking
2021/03/22 Akif Durdu LSTM and Filter Based Comparison Analysis for Indoor Global Localization in UAVs
2021/03/15 Pouyan Boresh Navard Deep Canonical Correlation Analysis
2021/03/08 Mike Bai Camera vibration measurement using blinking light-emitting diode array
2021/03/01 Bing Zha You are here: Geolocation by embedding maps and images
2021/02/22 Guobiao Yao
2021/02/15 Shehan Perera Deep Learning for 3D Point Clouds: A Survey.
2021/02/08 Mike Karnes Online Multiple Object Tracking Based on Open-Set Few-Shot Learning
2021/02/01 Yuci Han Mastering Atari, Go, Chess and Shogi by Plannning with a Learned
2021/01/25 Jianli Wei Reinforcement Learning for Solving the Vehicle Routing Problem
2021/01/18 No meeting
2021/01/11 No meeting
2021/01/04 Guanyu Xu Deep learning in video multi-objects tracking: A survey