Multi-Modal Pre-Training for Automated Speech Recognition

David M Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 (Oral Presentation)

What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics

David M Chan, Austin Myers, Sudheendra Vijayanarasimhan,  Bryan Seybold, David A. Ross, John F. Canny
The 1st Workshop on Vision Datasets Understanding, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022

Content-Context Factorized Representations for Automated Speech Recognition

David M Chan, Shalini Ghosh

Learning Causal Overhypotheses through Exploration in Children and Computational Models

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M Chan, Jessica B Hamrick, Nan Rosemary Ke, Sandy H Huang, Bryanna Kaufmann, John Canny, Alison Gopnik
1st Conference on Reasoning and Learning (CLEAR) (2022) (Oral Presentation)

Misinformation Detection in Social Media Video Posts

Kehan Wang, David Chan, Seth Z Zhao, John Canny, Avideh Zakhor

A semantic segmentation network for urban-scale building footprint extraction using rgb satellite imagery

Aatif Jiwani, Shubhrakanti Ganguly, Chao Ding, Nan Zhou, David M Chan

Conversational Physical Activity Coaches For Spanish and English Speaking Women: a User Design Study

Caroline Figueroa, Tiffany Luo, Andrea Jacobo, Alan Munoz, Minx Manuel, David M Chan, John Canny, Adrian Aguilera
Frontiers in Digital Health, 2021.

Active Learning for Video Description With Cluster-Regularized Ensemble Ranking

David M Chan, Sudheendra Vijayanarasimhan, David A Ross, John F Canny
Asian Conference on Computer Vision (ACCV), 2020. (Oral Presentation)

Exploring Exploration: Comparing Children with RL Agents in Unified Environments

Eliza Kosoy, Jasmine Collins, David M Chan, Jessica B Hamrick, Sandy Huang, Alison Gopnik, John Canny
ICLR BAICS Workshop, 2020.

A Dataset and Benchmarks for Multimedia Social Analysis

Bofan Xue, David M. Chan, John Canny
CVPR Multimodal Learning and Applications Workshop (MULA), 2020.
[ArXiV] [Dataset]

ZPD teaching strategies for deep reinforcement learning from demonstrations

Daniel Seita, David M Chan, Roshan Rao, Chen Tang, Mandi Zhao, John Canny
NeurIPS Workshops, 2019.

Autonomous Imaging and Mapping of Small Bodies Using Deep Reinforcement Learning

David M Chan, Ali-akbar Agha-Mohammadi
IEEE Aerospace Conference, 2019. (Oral Presentation)

GPU-Accelerated t-SNE and its Applications to Modern Data

David M Chan, Roshan Rao, Forrest Huang, John F. Canny
High Performance Machine Learning (HPML), 2019. (Oral Presentation, Outstanding Paper Award)
[ArXiV] [Code]

Rapid Randomized Restarts for Multi-Agent Path Finding: Preliminary Results

Liron Cohen, Sven Koenig, TK Kumar, Glenn Wagner, Howie Choset, David M Chan, Nathan Sturtevant
Proceedings of the 17th International Conference on Autonomous Agents and Multi-Agent Systems, 2018 (Oral Presentation)

Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding

Thayne T Walker, David M Chan, Nathan R Sturtevant
International Conference on Automated Planning and Scheduling (ICAPS), 2017 (Oral Presentation)
[Paper] [Code]

Going Deeper in Facial Expression Recognition Using Deep Neural Networks

Ali Mollahosseini, David M Chan, Mohammad H Mahoor
IEEE Applications of Computer Vision (WACV), 2016 (Oral Presentation)
[ArXiV] [Code]

Facial Expression Recognition From The World Wild Web

Ali Mollahosseini, Behzad Hasani, Michelle J Salvador, Hojjat Abdollahi, David M Chan, Mohammad H Mahoor
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 (Oral Presentation)