most citedAQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2026

RetailSMV: Exocentric vs. Egocentric Adaptation of Foundation Video World Models in Retail

Amirreza Rouhi, Rajat Aggarwal, Parikshit Sakurikar +2

Foundation video diffusion models are increasingly viewed as world simulators for embodied agents, yet their pretraining on internet-scale generic video leaves them poorly aligned…

cs.CV20261 cited

AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification

Om Kathalkar, Nitin Nilesh, Sachin Chaudhari +1

Air pollution represents one of the most critical environmental and public health challenges globally, with traditional sensor-based monitoring systems facing significant scalabili…

cs.RO2026

SABER: A Scalable Action-Based Embodied Dataset for Real-World VLA Adaptation

Narsimha Menga, Parikshit Sakurikar, Amirreza Rouhi +6

Robotic deployment in real-world environments depends on rich, domain-specific action data as much as on strong model architecture. General-purpose robot foundation models show mod…

cs.CV2026

Towards Billion-scale Multi-modal Biometric Search

Arka Koner, Chetan S. Naik, Lokesh Kurre +5

Searching a multi-biometric database of a billion records for a country-level identity system requires pushing the limits of all aspects of a biometric system, including acquisitio…

cs.CV2026

Illumination-Aware Contactless Fingerprint Spoof Detection via Paired Flash-Non-Flash Imaging

Roja Sahoo, Anoop Namboodiri

Contactless fingerprint recognition enables hygienic and convenient biometric authentication but poses new challenges for spoof detection due to the absence of physical contact and…

cs.CV2026

Fusion2Print: Deep Flash-Non-Flash Fusion for Contactless Fingerprint Matching

Roja Sahoo, Anoop Namboodiri

Contactless fingerprint recognition offers a hygienic and convenient alternative to contact-based systems, enabling rapid acquisition without latent prints, pressure artifacts, or…