8 citations · 17 across the 21 of their papers we have counts for
10 papers · 1 filter
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…
Neural Succession: A Mesoscopic Theory of Invasion, Coexistence, and Stabilization in Continual Learning
Shoaib Ahmed Dipu, Md Salman Shamil, Sayeed Shafayet Chowdhury
Continual learning is usually studied through mechanisms that preserve old knowledge. We develop Successional Learning Theory (SLT), a mesoscopic account in which the current repre…
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…
The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction
Sayeed Shafayet Chowdhury, Nusrat Jahan, Snehasis Mukhopadhyay +2
Clinical prediction can saturate for two different reasons: a fitted learner may fail to extract available information, or the recorded variables may impose a population frontier.…
Active Spiking Perception: The Membrane Potential as a Belief State for Anytime 3D Point Cloud Recognition
Akarsh Jain, Arya Pawa, Ayush Debnath +2
Spiking point cloud networks usually scan space in a fixed, input-agnostic order, which leaves the most distinctive resource of spiking computation, the temporal evolution of the m…
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…
BAT-RM: A Boundary-Aware Transformer with Region-Aware Multi-Directional Mamba for Clinically Deployed Cervical Cancer Radiotherapy Auto-Contouring
Istiak Ahmed, Kazi Shahriar Sanjid, Galib Ahmed +16
We present a clinically deployed end-to-end auto-contouring system for cervical cancer radiotherapy planning, anchored by the Boundary-Aware Transformer with Region-Aware Mamba (BA…
Who Benefits From Sinus Surgery? Comparing Generative AI and Supervised Machine Learning for Predicting Surgical Outcomes in Chronic Rhinosinusitis
Sayeed Shafayet Chowdhury, Snehasis Mukhopadhyay, Shiaofen Fang +1
Artificial intelligence has reshaped medical imaging, yet the use of AI on clinical data for prospective decision support remains limited. We study pre-operative prediction of clin…