publications

2023

1. EMNLP 2023

   Domain Adaptation for Sentiment Analysis Using Robust Internal Representations

   Mohammad Rostami ,  Digbalay Bose ,  Shrikanth Narayanan , and 1 more author

   In Findings of the Association for Computational Linguistics: EMNLP 2023 , Dec 2023

   Abs PDF Code

   Sentiment analysis is a costly yet necessary task for enterprises to study the opinions of their customers to improve their products and to determine optimal marketing strategies. Due to the existence of a wide range of domains across different products and services, cross-domain sentiment analysis methods have received significant attention. These methods mitigate the domain gap between different applications by training cross-domain generalizable classifiers which relax the need for data annotation for each domain. We develop a domain adaptation method which induces large margins between data representations that belong to different classes in an embedding space. This embedding space is trained to be domain-agnostic by matching the data distributions across the domains. Large interclass margins in the source domain help to reduce the effect of “domain shift” in the target domain. Theoretical and empirical analysis are provided to demonstrate that the proposed method is effective.

2. ACM MM 2023

   MM-AU: Towards Multimodal Understanding of Advertisement Videos

   Digbalay Bose ,  Rajat Hebbar ,  Tiantian Feng , and 3 more authors

   In Proceedings of the 31st ACM International Conference on Multimedia , Dec 2023

   PDF Website
3. ACM MM 2023

   SEAR: Semantically-grounded Audio Representations

   Rajat Hebbar ,  Digbalay Bose ,  and  Shrikanth Narayanan

   In Proceedings of the 31st ACM International Conference on Multimedia , Dec 2023

   PDF Website
4. WACV 2023

   Movieclip: Visual scene recognition in movies

   Digbalay Bose ,  Rajat Hebbar ,  Krishna Somandepalli , and 5 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , Dec 2023

   PDF Website
5. KDD 2023

   FedMultimodal: A Benchmark For Multimodal Federated Learning

   Tiantian Feng ,  Digbalay Bose ,  Tuo Zhang , and 6 more authors

   arXiv preprint arXiv:2306.09486, Dec 2023

   PDF Code
6. ICASSP 2023

   Signal Processing Grand Challenge 2023–E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients

   Kleanthis Avramidis ,  Kranti Adsul ,  Digbalay Bose , and 1 more author

   In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Dec 2023

   PDF
7. ICASSP 2023

   Contextually-rich human affect perception using multimodal scene information

   Digbalay Bose ,  Rajat Hebbar ,  Krishna Somandepalli , and 1 more author

   In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Dec 2023

   PDF Code
8. ICASSP 2023

   A Dataset for Audio-Visual Sound Event Detection in Movies

   Rajat Hebbar ,  Digbalay Bose ,  Krishna Somandepalli , and 2 more authors

   In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Dec 2023

   PDF
9. Multimodal Estimation Of Change Points Of Physiological Arousal During Driving

   Kleanthis Avramidis ,  Tiantian Feng ,  Digbalay Bose , and 1 more author

   In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshop on Ambient AI: Multimodal Wearable Sensor Understanding , Dec 2023

   PDF Code

2022

1. FPSAM 2022

   Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based Measures

   Digbalay Bose ,  Krishna Somandepalli ,  Tymon Tai , and 3 more authors

   Facial Plastic Surgery & Aesthetic Medicine, Dec 2022

   PDF

2021

1. ICCV CLVL

   Understanding of emotion perception from art

   Digbalay Bose ,  Krishna Somandepalli ,  Souvik Kundu , and 3 more authors

   arXiv preprint arXiv:2110.06486, Dec 2021

   PDF
2. Cross domain emotion recognition using few shot knowledge transfer

   Justin Olah ,  Sabyasachee Baruah ,  Digbalay Bose , and 1 more author

   arXiv preprint arXiv:2110.05021, Dec 2021

   PDF Code
3. CODS-COMAD

   Robust resource demand estimation using hierarchical Bayesian model in a distributed service system

   Sumanta Mukherjee ,  Krishnasuri Narayanam ,  Nupur Aggarwal , and 2 more authors

   In Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD) , Dec 2021

   PDF

2020

1. US Patent

   Visually guided query processing

   Ashok Pon Kumar Sree Prakash ,  Ayushi Dalmia ,  Amith Singhee , and 4 more authors

   Dec 2020

   US Patent 10,878,291

   PDF

2016

1. ICVGIP 2016

   Hierarchical spectral clustering based large margin classification of visually correlated categories

   Digbalay Bose ,  and  Subhasis Chaudhuri

   In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing , Dec 2016

   PDF