1 code implementation • 1 Dec 2023 • Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai
However, existing methods are still not able to effectively and efficiently exploit relevant information from these auxiliary supplements to further unleash the power of the conversational agents and the language models they use.
no code implementations • 28 Sep 2023 • Junfeng Liu, Christopher Symons, Ranga Raju Vatsavai
Recent advances in machine learning and deep learning have led to the widespread use of Conversational AI in many practical applications.
no code implementations • 4 Dec 2022 • Junfeng Liu, Christopher Symons, Ranga Raju Vatsavai
First, we provide a literature review focusing on the current state-of-the-art methods that utilize persona information.
2 code implementations • 24 Dec 2021 • Anton Dereventsov, Ranga Raju Vatsavai, Clayton Webster
In this effort we consider a reinforcement learning (RL) technique for solving personalization tasks with complex reward signals.
no code implementations • 8 Jul 2020 • Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Our experiments show that this new composite consistency regularization based semi-GAN significantly improves its performance and achieves new state-of-the-art performance among GAN-based SSL approaches.
1 code implementation • 20 Apr 2020 • Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
In MT, each data point is considered independent of other points during training; however, data points are likely to be close to each other in feature space if they share similar features.
no code implementations • 13 Apr 2020 • Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene.
no code implementations • 24 Jan 2020 • Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
The learned distance function, which is not specific to the target video, is used to measure the distance between each video patch in the testing video and the video patches found in normal training video.
Ranked #18 on Anomaly Detection on CUHK Avenue
no code implementations • 18 Jun 2019 • Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
We formulate three methods that use the data assigned to each tangent space to estimate the underlying bounded subspaces for which the tangent space is a faithful estimate of the manifold and offer thoughts on how this perspective is theoretically grounded in the manifold assumption.
no code implementations • 16 Nov 2018 • Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
By doing this, our Relational LSTM is capable of capturing long and short-range spatio-temporal relations between objects in videos in a principled way.