Rupayan Mallick

18 papers A 1B 2C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition.
CVPR Workshops
Rupayan Mallick, Sibo Dong, Nataniel Ruiz, Sarah Adel Bargal
2025 J jnl
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition.
CoRR
Rupayan Mallick, Sibo Dong, Nataniel Ruiz, Sarah Adel Bargal
2025 J jnl
GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention.
CoRR
Amro Abdalla, Ismail Shaheen, Dan DeGenaro, Rupayan Mallick, Bogdan Raita, Sarah Adel Bargal
2025 J jnl
Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy.
CoRR
Hao Yu, Rupayan Mallick, Margrit Betke, Sarah Adel Bargal
2025 J jnl
GenEAva: Generating Cartoon Avatars with Fine-Grained Facial Expressions from Realistic Diffusion-based Faces.
CoRR
Hao Yu, Rupayan Mallick, Margrit Betke, Sarah Adel Bargal
2025 J jnl
ViSTA: Visual Storytelling using Multi-modal Adapters for Text-to-Image Diffusion Models.
CoRR
Sibo Dong, Ismail Shaheen, Maggie Shen, Rupayan Mallick, Sarah Adel Bargal
2024 J jnl
A hybrid transformer with domain adaptation using interpretability techniques for the application to the detection of risk situations.
Multim. Tools Appl.
Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Kamel Guerda, Boris Mansencal, Hélène Amieva, Laura Middleton
2024 J jnl
FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image.
CoRR
Rupayan Mallick, Amr Abdalla, Sarah Adel Bargal
2024 — conf
IFI: Interpreting for Improving: A Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events.
MMM (4)
Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari
2023 — —
Explainable Deep Learning for the Application to Multimodal Data. (Apprentissage Profond explicable Application sur les données multimodales).
Rupayan Mallick
2023 J jnl
Lasagna: Layered Score Distillation for Disentangled Object Relighting.
CoRR
Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko
2022 — conf
A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data.
ICDAR@ICMR
Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton
2022 J jnl
Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data.
IEEE Multim.
Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva
2022 B conf
I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers.
ICIP
Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari
2022 B conf
Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data.
ICPR
Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Thinhinane Yebda, Marion Pech, Hélène Amieva, Laura Middleton
2021 C conf
A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data.
CBMI
Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva
2021 A conf
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.
WACV
Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, François Brémond
2020 J jnl
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.
CoRR
Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, François Brémond