1 citations · 1 across the 12 of their papers we have counts for
12 papers
FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture
Rukhshanda Hussain, Noé Artru, Emeline Got +6
Lightstage facial capture produces production-quality digital humans, but it is resource and labor-intensive. Multi-camera setups, hours of computation, and massive data storage cr…
Task Switching Without Forgetting via Proximal Decoupling
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +2
In continual learning, the primary challenge is to learn new information without forgetting old knowledge. A common solution addresses this trade-off through regularization, penali…
InterPartAbility: Phrase-Region Grounding for Interpretable Text-to-Image Person Re-Identification
Shakeeb Murtaza, Aryan Shukla, Rajarshi Bhattacharya +2
Text-to-image person re-identification (TI-ReID) relies on natural-language text descriptions to retrieve top matching individuals from a gallery of reference images. While recent…
IntRec: Intent-based Retrieval with Contrastive Refinement
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +1
Retrieving user-specified objects from complex scenes remains a challenging task, especially when queries are ambiguous or involve multiple similar objects. Existing open-vocabular…
DART: Leveraging Distance for Test Time Adaptation in Person Re-Identification
Rajarshi Bhattacharya, Shakeeb Murtaza, Christian Desrosiers +3
Person re-identification (ReID) models are known to suffer from camera bias, where learned representations cluster according to camera viewpoints rather than identity, leading to s…
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali +3
As AI systems grow more capable, it becomes increasingly important that their decisions remain understandable and aligned with human expectations. A key challenge is the limited in…
From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali +2
Visible-infrared person re-identification (VI-ReID) aims to match individuals across different camera modalities, a critical task in modern surveillance systems. While current VI-R…
Image Retrieval Methods in the Dissimilarity Space
Madhu Kiran, Kartikey Vishnu, Rafael M. O. Cruz +1
Image retrieval methods rely on metric learning to train backbone feature extraction models that can extract discriminant queries and reference (gallery) feature representations fo…
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard +3
Diffusion models have emerged as highly effective techniques for inpainting, however, they remain constrained by slow sampling rates. While recent advances have enhanced generation…
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet +4
Given the emergence of deep learning, digital pathology has gained popularity for cancer diagnosis based on histology images. Deep weakly supervised object localization (WSOL) mode…
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz +1
A key challenge in visible-infrared person re-identification (V-I ReID) is training a backbone model capable of effectively addressing the significant discrepancies across modaliti…
SeTformer is What You Need for Vision and Language
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +1
The dot product self-attention (DPSA) is a fundamental component of transformers. However, scaling them to long sequences, like documents or high-resolution images, becomes prohibi…