5 papers · 1 filter
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…
PRISM: A Multi-View Multi-Capability Retail Video Dataset for Embodied Vision-Language Models
Amirreza Rouhi, Parikshit Sakurikar, Satya Sai Reddy +6
A critical gap exists between the general-purpose visual understanding of state-of-the-art physical AI models and the specialized perceptual demands of structured real-world deploy…
LRDDv2: Enhanced Long-Range Drone Detection Dataset with Range Information and Comprehensive Real-World Challenges
Amirreza Rouhi, Sneh Patel, Noah McCarthy +4
The exponential growth in Unmanned Aerial Vehicles (UAVs) usage underscores the critical need of detecting them at extended distances to ensure safe operations, especially in dense…
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations
Amirreza Rouhi, Solmaz Arezoomandan, Knut Peterson +2
Object detection models typically rely on predefined categories, limiting their ability to identify novel objects in open-world scenarios. To overcome this constraint, we introduce…
Learning Scene Context Without Images
Amirreza Rouhi, David Han
Teaching machines of scene contextual knowledge would enable them to interact more effectively with the environment and to anticipate or predict objects that may not be immediately…