Rupayan Mallick

According to our database, Rupayan Mallick authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

IFI: Interpreting for Improving: A Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events.

Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Explainable Deep Learning for the Application to Multimodal Data. (Apprentissage Profond explicable Application sur les données multimodales).

Rupayan Mallick

PhD thesis, 2023

Lasagna: Layered Score Distillation for Disentangled Object Relighting.

Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko

CoRR, 2023

2022

Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data.

Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva

IEEE Multim., 2022

A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data.

Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton

Proceedings of the ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27, 2022

Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data.

Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Thinhinane Yebda, Marion Pech, Hélène Amieva, Laura Middleton

Proceedings of the 26th International Conference on Pattern Recognition, 2022

I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers.

Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.

Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, François Brémond

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data.

Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva

Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021