Shao-Yen Tseng

According to our database, Shao-Yen Tseng authored at least 34 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FiVL: A Framework for Improved Vision-Language Alignment.

Estelle Aflalo, Gabriela Ben Melech Stan, Tiep Le, Man Luo, Shachar Rosenman, Sayak Paul, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

Steering Large Language Models to Evaluate and Amplify Creativity.

Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

FastRM: An efficient and automatic explainability framework for multimodal generative models.

Gabriela Ben Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering.

Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Estelle Aflalo, Shao-Yen Tseng, Vasudev Lal, Phillip Howard

CoRR, 2024

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations.

Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard

CoRR, 2024

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model.

Musashi Hinck, Matthew L. Olson, David Cobbley, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models.

Gabriela Ben Melech Stan, Estelle Aflalo, Raanan Yehezkel Rohekar, Anahita Bhiwandiwalla, Shao-Yen Tseng, Matthew Lyle Olson, Yaniv Gurwicz, Chenfei Wu, Nan Duan, Vasudev Lal

Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024

Why do LLaVA Vision-Language Models Reply to Images in English?

Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

L-MAGIC: Language Model Assisted Generation of Images with Coherence.

Zhipeng Cai, Matthias Mueller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, Junda Cheng, Gabriela Ben Melech Stan, Vasudev Lal, Michael Paulitsch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MuMUR: Multilingual Multimodal Universal Retrieval.

Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shachar Rosenman, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal

Inf. Retr. J., June, 2023

LDM3D-VR: Latent Diffusion Model for 3D VR.

Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal

CoRR, 2023

LDM3D: Latent Diffusion Model for 3D.

Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Müller, Vasudev Lal

CoRR, 2023

Improving Video Retrieval Using Multilingual Knowledge Transfer.

Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal

Proceedings of the Advances in Information Retrieval, 2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning.

Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations.

Vin Sachidananda, Shao-Yen Tseng, Erik Marchi, Sachin Kajarekar, Panayiotis G. Georgiou

CoRR, 2022

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation.

Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers.

Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multimodal Embeddings From Language Models for Emotion Recognition in the Wild.

Shao-Yen Tseng, Shrikanth Narayanan, Panayiotis G. Georgiou

IEEE Signal Process. Lett., 2021

2020

Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples Conversations.

Sandeep Nallan Chakravarthula, Md. Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Unsupervised online multitask learning of behavioral sentence embeddings.

Shao-Yen Tseng, Brian R. Baucom, Panayiotis G. Georgiou

PeerJ Comput. Sci., 2019

Multimodal Embeddings from Language Models.

Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan

CoRR, 2019

Behavior Gated Language Models.

Prashanth Gurunath Shivakumar, Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan

CoRR, 2019

Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions Using Speech and Language.

Sandeep Nallan Chakravarthula, Haoqi Li, Shao-Yen Tseng, Maija Reblin, Panayiotis G. Georgiou

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Multi-Task Unsupervised Contextual Learning for Behavioral Annotation.

Shao-Yen Tseng, Panayiotis G. Georgiou

CoRR, 2018

Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection.

Shao-Yen Tseng, Juncheng Li, Yun Wang, Florian Metze, Joseph Szurley, Samarjit Das

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

"Honey, I Learned to Talk": Multimodal Fusion for Behavior Analysis.

Shao-Yen Tseng, Haoqi Li, Brian R. Baucom, Panayiotis G. Georgiou

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

2017

Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection.

Shao-Yen Tseng, Juncheng Li, Yun Wang, Joseph Szurley, Florian Metze, Samarjit Das

CoRR, 2017

Approaching Human Performance in Behavior Estimation in Couples Therapy Using Deep Sentence Embeddings.

Shao-Yen Tseng, Brian R. Baucom, Panayiotis G. Georgiou

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models.

Shao-Yen Tseng, Sandeep Nallan Chakravarthula, Brian R. Baucom, Panayiotis G. Georgiou

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2013

Design of heart rate variability processor for portable 3-lead ECG monitoring system-on-chip.

Wai-Chi Fang, Hsiang-Cheh Huang, Shao-Yen Tseng

Expert Syst. Appl., 2013

2011

A highly-integrated biomedical multiprocessor system for portable brain-heart monitoring.

Ericson Chua, Wai-Chi Fang, Chiu-Kuo Chen, Chih-Chung Fu, Shao-Yen Tseng, Shih Kang, Zong-Han Hsieh

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010

Implementation of a hardware-efficient EEG processor for brain monitoring systems.

Chiu-Kuo Chen, Ericson Chua, Shao-Yen Tseng, Chih-Chung Fu, Wai-Chi Fang

Proceedings of the Annual IEEE International SoC Conference, SoCC 2010, 2010

A Time-Frequency HRV Processor Using Windowed Lomb Periodogram.

Shao-Yen Tseng, Wai-Chi Fang

Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

Portable Brain-Heart Monitoring System.

Chih-Chung Fu, Chiu-Kuo Chen, Shao-Yen Tseng, Shih Kang, Ericson Chua, Wai-Chi Fang

Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010