1 citations · 1 across the 5 of their papers we have counts for
5 papers
CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models
Abhilash Durgam, Nyle Siddiqui, Jeffrey A. Chan-Santiago +3
Electroencephalography (EEG) is a critical, non-invasive method to monitor electrical brain activity. EEGs can span anywhere from a couple seconds to multiple hours, posing a major…
StretchySnake: Flexible SSM Training Unlocks Action Recognition Across Spatio-Temporal Scales
Nyle Siddiqui, Rohit Gupta, Sirnam Swetha +1
State space models (SSMs) have emerged as a competitive alternative to transformers in various tasks. Their linear complexity and hidden-state recurrence make them particularly att…
VRR-QA: Visual Relational Reasoning in Videos Beyond Explicit Cues
Sirnam Swetha, Rohit Gupta, Parth Parag Kulkarni +5
Video Question Answering (VideoQA) has made significant strides by leveraging multimodal learning to align visual and textual modalities. However, current benchmarks overwhelmingly…
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
Nyle Siddiqui, Florinel Alin Croitoru, Gaurav Kumar Nayak +2
With the recent exhibited strength of generative diffusion models, an open research question is if images generated by these models can be used to learn better visual representatio…
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
Nyle Siddiqui, Praveen Tirupattur, Mubarak Shah
In this work, we present a novel approach to multi-view action recognition where we guide learned action representations to be separated from view-relevant information in a video.…