3 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation
Syed Talal Wasim, Hamid Suleman, Olga Zatsarynna +2
We present MixANT, a novel architecture for stochastic long-term dense anticipation of human activities. While recent State Space Models (SSMs) like Mamba have shown promise throug…
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection
Divya Velayudhan, Abdelfatah Ahmed, Mohamad Alansari +10
Advancements in Computer-Aided Screening (CAS) systems are essential for improving the detection of security threats in X-ray baggage scans. However, current datasets are limited i…
Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Jinhui Yi, Syed Talal Wasim, Yanan Luo +2
We present an efficient encoder-free approach for video-language understanding that achieves competitive performance while significantly reducing computational overhead. Current vi…
StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos
Hamid Suleman, Syed Talal Wasim, Muzammal Naseer +1
State-space models (SSMs), exemplified by S4, have introduced a novel context modeling method by integrating state-space techniques into deep learning. However, they struggle with…
GroupMamba: Efficient Group-Based Visual State Space Model
Abdelrahman Shaker, Syed Talal Wasim, Salman Khan +2
State-space models (SSMs) have recently shown promise in capturing long-range dependencies with subquadratic computational complexity, making them attractive for various applicatio…