Zimmermann, Roger

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Hazarika, D., Zimmermann, R., & Poria, S. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 1,073

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Castro, S., Hazarika, D., Pérez-Rosas, V., Zimmermann, R., Mihalcea, R., & Poria, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 243

SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking

Bentaleb, A., Begen, A. C., & Zimmermann, R. (2016) · Proceedings of the 24th ACM international conference on Multimedia

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 160

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

Wen, H., Lin, Y., Xia, Y., Wan, H., Wen, Q., Zimmermann, R., & Liang, Y. (2023) · Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems

Traffic Prediction and Management TechniquesAdvanced Graph Neural Networks

Cited by 130

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Liu, X., Hu, J., Li, Y., Diao, S., Liang, Y., Hooi, B., & Zimmermann, R. (2024) · Proceedings of the ACM Web Conference 2024

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 115

Fine-Grained Urban Flow Prediction

Liang, Y., Ouyang, K., Sun, J., Wang, Y., Zhang, J., Zheng, Y., Rosenblum, D., & Zimmermann, R. (2021) · Proceedings of the Web Conference 2021

Traffic Prediction and Management TechniquesUrban Design and Spatial Analysis

Cited by 89

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Hazarika, D., Li, Y., Cheng, B., Zhao, S., Zimmermann, R., & Poria, S. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 51

Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition

Kumar, Y., Sahrawat, D., Maheshwari, S., Mahata, D., Stent, A., Yin, Y., Ratn Shah, R., & Zimmermann, R. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and Audio ProcessingDomain Adaptation and Few-Shot Learning

Cited by 1