Chan, David

10 publications

ICLR 2025 Visual Haystacks: A Vision-Centric Needle-in-a-Haystack Benchmark Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David Chan

ICML 2024 An Efficient Self-Learning Framework for Interactive Spoken Dialog Systems Hitesh Tulsiani, David Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister

NeurIPSW 2024 Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors Joseph Suh, Suhong Moon, Minwoo Kang, David Chan

CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

NeurIPSW 2024 Virtual Personas for Language Models via an Anthology of Backstories Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan

NeurIPSW 2024 Virtual Personas for Language Models via an Anthology of Backstories Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan

ICMLW 2022 LAVA: Language Audio Vision Alignment for Data-Efficient Video Pre-Training Sumanth Gurram, David Chan, Andy Fang, John Canny

CLeaR 2022 Learning Causal Overhypotheses Through Exploration in Children and Computational Models Eliza Kosoy, Adrian Liu, Jasmine L Collins, David Chan, Jessica B Hamrick, Nan Rosemary Ke, Sandy Huang, Bryanna Kaufmann, John Canny, Alison Gopnik

CVPRW 2016 Facial Expression Recognition from World Wild Web Ali Mollahosseini, Behzad Hassani, Michelle J. Salvador, Hojjat Abdollahi, David Chan, Mohammad H. Mahoor

WACV 2016 Going Deeper in Facial Expression Recognition Using Deep Neural Networks Ali Mollahosseini, David Chan, Mohammad H. Mahoor