8 citations · 17 across the 21 of their papers we have counts for
5 papers · 2 filters
Teaching Vision-Language Models to Decline: Support Completion Against Mirage
Alfaj Uddin Ahmed, Md. Shaown Miah, Md Arid Hasan +2
Vision-language models answer questions about images they were never shown, a failure called mirage. Such an answer can be correct without being justified by the evidence, and the…
Vmem-: Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics
Arul Rana, Agrim Tripathi, Shoaib Ahmed Dipu +3
Spiking Neural Networks (SNNs) offer an energy-efficient approach to processing event-camera data, yet out-of-distribution (OOD) detection remains challenging in this setting. Exis…
Stealth Is a Relation, Not a Property: How Event Representations Create Blind Spots for Timing Attacks in Event-Based Perception
Shoaib Ahmed Dipu, Md. Shaown Miah, Kamrul Hasan +1
An event camera produces an asynchronous stream, but what is visible in that stream depends on how a downstream consumer, such as a model or detector, processes time. The same time…
On The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
Sayeed Shafayet Chowdhury, Ruhi Sharmin, Syed Ishtiaque Ahmed
Event pipelines often discretize asynchronous timestamps before learning. This step looks harmless, but its stability depends directly on temporal resolution. We study this depende…
Detect Before You Leap: Mirage Detection in Vision-Language Models
Sayeed Shafayet Chowdhury, Md. Shaown Miah, S. M. Taiabul Haque +1
Vision-language models (VLMs) can produce confident answers without relevant visual evidence, a failure mode known as mirage (Asadi et al., 2026). We study pre-release mirage detec…