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20162026
most citedDCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks

8 citations · 17 across the 21 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2024

ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy

Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong +2

Surgical action localization is a challenging computer vision problem. While it has promising applications including automated training of surgery procedures, surgical workflow opt…

cs.CV2024

Towards Visual Syntactical Understanding

Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy

Syntax is usually studied in the realm of linguistics and refers to the arrangement of words in a sentence. Similarly, an image can be considered as a visual 'sentence', with the s…

cs.CV2020★ 3 cited

Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems

Sayeed Shafayet Chowdhury, Kazi Mejbaul Islam, Rouhan Noor

Anomaly detection (AD) in a surveillance scenario is an emerging and challenging field of research. For autonomous vehicles like drones or cars, it is immensely important to distin…