activity
20182024
most citedBeyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials

30 citations · 146 across the 15 of their papers we have counts for

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10 papers · 1 filter

cs.CL20223 cited

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Devamanyu Hazarika, Yingting Li, Bo Cheng +3

Building robust multimodal models are crucial for achieving reliable deployment in the wild. Despite its importance, less attention has been paid to identifying and improving the r…

cs.CL20221 cited

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan +2

Automatic transfer of text between domains has become popular in recent times. One of its aims is to preserve the semantic content of text being translated from source to target do…

cs.CL20203 cited

Towards Modelling Coherence in Spoken Discourse

Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah +2

While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited. Unlike the cohe…

cs.CL2020

Domain Divergences: a Survey and Empirical Analysis

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan +1

Domain divergence plays a significant role in estimating the performance of a model in new domains. While there is a significant literature on divergence measures, researchers find…

cs.CL20202 cited

"Notic My Speech" -- Blending Speech Patterns With Multimedia

Dhruva Sahrawat, Yaman Kumar, Shashwat Aggarwal +3

Speech as a natural signal is composed of three parts - visemes (visual part of speech), phonemes (spoken part of speech), and language (the imposed structure). However, video as a…

cs.CL2020

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

Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria

Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos. The predominant approach, addres…