most citedBLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Audio LLMs Know When They Can't Hear You

Amirhosein Javadi, Richa Dixit, Mehrdad Farajtabar +3

Audio large language models allow users to interact with the model through speech. When an input recording is too degraded, the model may misinterpret the user's query and respond…

cs.CV2026

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara Javidi

Diffusion models provide a powerful generative prior for perceptual reconstruction at ultra-low bitrates, but effective video compression requires controlling the generative proces…

cs.CV2026

Active World-Model with 4D-informed Retrieval for Exploration and Awareness

Elaheh Vaezpour, Amirhosein Javadi, Tara Javidi

Physical awareness, especially in a large and dynamic environment, is shaped by sensing decisions that determine observability across space, time, and scale, while observations imp…

cs.LG2026

CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning

Amirhosein Javadi, Tuomas Oikarinen, Tara Javidi +1

Catastrophic forgetting remains a fundamental challenge in continual learning, in which models often forget previous knowledge when fine-tuned on a new task. This issue is especial…

cs.CV2024★ 1 cited

BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM

Li Zhang, Youwei Liang, Ruiyi Zhang +2

The Segment Anything Model (SAM), a foundation model pretrained on millions of images and segmentation masks, has significantly advanced semantic segmentation, a fundamental task i…