Hamid Suleman

MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation

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 through input-dependent selectivity on three key parameters, the critical forget-gate (A matrix) controlling temporal memory r…