activity
20192021
most citedMusic FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling

11 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20214 cited

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information

Jialu Li, Hao Tan, Mohit Bansal

Vision language navigation is the task that requires an agent to navigate through a 3D environment based on natural language instructions. One key challenge in this task is to grou…

eess.AS202011 cited

Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling

Hao Hao Tan, Dorien Herremans

High-level musical qualities (such as emotion) are often abstract, subjective, and hard to quantify. Given these difficulties, it is not easy to learn good feature representations…

eess.AS20204 cited

Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance

Hao Hao Tan, Yin-Jyun Luo, Dorien Herremans

We present a controllable neural audio synthesizer based on Gaussian Mixture Variational Autoencoders (GM-VAE), which can generate realistic piano performances in the audio domain…

cs.CL2019

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Hao Tan, Mohit Bansal

Vision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationships between these two modalities.…

cs.MA2019

Agent Madoff: A Heuristic-Based Negotiation Agent For The Diplomacy Strategy Game

Hao Hao Tan

In this paper, we present the strategy of Agent Madoff, which is a heuristic-based negotiation agent that won 2nd place at the Automated Negotiating Agents Competition (ANAC 2017).…